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Suh, Sangwon. "Developing a sectoral environmental database for input–output analysis: the comprehensive environmental data archive of the US". Economic Systems Research 17, n. 4 (dicembre 2005): 449–69. http://dx.doi.org/10.1080/09535310500284326.
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Dietze, Michael. "The R package “eseis” – a software toolbox for environmental seismology". Earth Surface Dynamics 6, n. 3 (17 agosto 2018): 669–86. http://dx.doi.org/10.5194/esurf-6-669-2018.
Testo completoAbstract (sommario):
Abstract. Environmental seismology is the study of the seismic signals emitted by Earth surface processes. This emerging research field is at the intersection of seismology, geomorphology, hydrology, meteorology, and further Earth science disciplines. It amalgamates a wide variety of methods from across these disciplines and ultimately fuses them in a common analysis environment. This overarching scope of environmental seismology requires a coherent yet integrative software which is accepted by many of the involved scientific disciplines. The statistic software R has gained paramount importance in the majority of data science research fields. R has well-justified advances over other mostly commercial software, which makes it the ideal language to base a comprehensive analysis toolbox on. The article introduces the avenues and needs of environmental seismology, and how these are met by the R package eseis. The conceptual structure, example data sets, and available functions are demonstrated. Worked examples illustrate possible applications of the package and in-depth descriptions of the flexible use of the functions. The package has a registered DOI, is available under the GPL licence on the Comprehensive R Archive Network (CRAN), and is maintained on GitHub.
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Howkins, Adrian, Stephen M. Chignell, Poppie Gullett, Andrew G. Fountain, Melissa Brett e Evelin Preciado. "A digital archive of human activity in the McMurdo Dry Valleys, Antarctica". Earth System Science Data 12, n. 2 (13 maggio 2020): 1117–22. http://dx.doi.org/10.5194/essd-12-1117-2020.
Testo completoAbstract (sommario):
Abstract. Over the last half century, the McMurdo Dry Valleys (MDV) of East Antarctica have become a globally important site for scientific research and environmental monitoring. Historical data can make important contributions to current research activities and environmental management in Antarctica but tend to be widely scattered and difficult to access. We address this need in the MDV by compiling over 5000 historical photographs, sketches, maps, oral interviews, publications, and other archival resources into an online digital archive. The data have been digitized and georeferenced using a standardized metadata structure, which enables intuitive searches and data discovery via an online interface. The ultimate aim of the archive is to create as comprehensive as possible a record of human activity in the MDV to support ongoing research, management, and conservation efforts. This is a valuable tool for scientists seeking to understand the dynamics of change in lakes, glaciers, and other physical systems, as well as humanistic inquiry into the history of the Southern Continent. In addition to providing benchmarks for understanding change over time, the data can help target field sampling for studies working under the assumption of a pristine landscape by enabling researchers to identify the date and extent of past human activities. The full database is accessible via a web browser-based interface hosted by the McMurdo Long Term Ecological Research site: http://mcmurdohistory.lternet.edu/ (last access: 5 May 2020). The complete metadata data for all resources in the database are also available at the Environmental Data Initiative: https://doi.org/10.6073/pasta/6744cb28a544fda827805db123d36557 (Howkins et al., 2019).
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Kunduru, Arjun Reddy, e Ravikiran Kandepu. "Data Archival Methodology in Enterprise Resource Planning Applications (Oracle ERP, Peoplesoft)". Journal of Advances in Mathematics and Computer Science 38, n. 9 (7 agosto 2023): 115–27. http://dx.doi.org/10.9734/jamcs/2023/v38i91809.
Testo completoAbstract (sommario):
Enterprise Resource Planning (ERP) applications such as Oracle ERP and PeopleSoft play a critical role in managing and organizing vast amounts of data for businesses. As the volume of data within these applications continues to grow, organizations face challenges related to data storage, performance, and compliance with data retention policies. A robust data archival methodology is essential to address these challenges and ensure efficient and effective data management. This paper presents a comprehensive study on data archival methodology specifically tailored for Oracle ERP and PeopleSoft applications. The methodology encompasses a systematic approach to identify, categorize, and archive data based on its relevance, usage, and regulatory requirements. It focuses on achieving optimal data retention and retrieval while minimizing the impact on system performance and storage requirements. The proposed methodology covers various aspects of data archival, including data identification and classification, archival policies and rules, archival strategies, and post-archival data management. It explores techniques for selecting and extracting data from the ERP applications, transforming it into a suitable archival format, and securely storing it in archival repositories or storage systems. The paper also discusses considerations for indexing, searching, and retrieving archived data efficiently. Furthermore, the study highlights the importance of data integrity, security, and compliance in the archival process. It addresses strategies for ensuring the integrity and authenticity of archived data, implementing access controls and encryption mechanisms, and adhering to regulatory requirements, such as data privacy and protection regulations. To validate the effectiveness of the proposed methodology, case studies and real-world examples are presented, demonstrating its successful implementation in Oracle ERP and PeopleSoft environments. The benefits of the methodology, including improved system performance, reduced storage costs, and simplified compliance with data retention policies, are discussed based on these case studies.
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Gold, Zachary, Adam R. Wall, Teia M. Schweizer, N. Dean Pentcheff, Emily E. Curd, Paul H. Barber, Rachel S. Meyer et al. "A manager’s guide to using eDNA metabarcoding in marine ecosystems". PeerJ 10 (15 novembre 2022): e14071. http://dx.doi.org/10.7717/peerj.14071.
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Environmental DNA (eDNA) metabarcoding is a powerful tool that can enhance marine ecosystem/biodiversity monitoring programs. Here we outline five important steps managers and researchers should consider when developing eDNA monitoring program: (1) select genes and primers to target taxa; (2) assemble or develop comprehensive barcode reference databases; (3) apply rigorous site occupancy based decontamination pipelines; (4) conduct pilot studies to define spatial and temporal variance of eDNA; and (5) archive samples, extracts, and raw sequence data. We demonstrate the importance of each of these considerations using a case study of eDNA metabarcoding in the Ports of Los Angeles and Long Beach. eDNA metabarcoding approaches detected 94.1% (16/17) of species observed in paired trawl surveys while identifying an additional 55 native fishes, providing more comprehensive biodiversity inventories. Rigorous benchmarking of eDNA metabarcoding results improved ecological interpretation and confidence in species detections while providing archived genetic resources for future analyses. Well designed and validated eDNA metabarcoding approaches are ideally suited for biomonitoring applications that rely on the detection of species, including mapping invasive species fronts and endangered species habitats as well as tracking range shifts in response to climate change. Incorporating these considerations will enhance the utility and efficacy of eDNA metabarcoding for routine biomonitoring applications.
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Williams, Skylar S., Kiel L. Ortega, Travis M. Smith e Anthony E. Reinhart. "Comprehensive Radar Data for the Contiguous United States: Multi-Year Reanalysis of Remotely Sensed Storms". Bulletin of the American Meteorological Society 103, n. 3 (marzo 2022): E838—E854. http://dx.doi.org/10.1175/bams-d-20-0316.1.
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Abstract The Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS) dataset blends radar data from the WSR-88D network and Near-Storm Environmental (NSE) model analyses using the Multi-Radar Multi-Sensor (MRMS) framework. The MYRORSS dataset uses the WSR-88D archive starting in 1998–2011, processing all valid single-radar volumes to produce a seamless three-dimensional reflectivity volume over the entire contiguous United States with an approximate 5-min update frequency. The three-dimensional grid has an approximate 1 km × 1 km horizontal dimension and is on a stretched vertical grid that extends to 20 km MSL with a maximal vertical spacing of 1 km. Several reflectivity-derived, severe-storm-related products are also produced, which leverage the ability to merge the MRMS and NSE data. Two Doppler velocity-derived azimuthal shear layer maximum products are produced at a higher horizontal resolution of approximately 0.5 km × 0.5 km. The initial period of record for the dataset is 1998–2011. The dataset underwent intensive manual quality control to ensure that all available and valid data were included while excluding highly problematic radar volumes that were a negligible percentage of the overall dataset, but which caused large data errors in some cases. This dataset has applications toward radar-based climatologies, postevent analysis, machine learning applications, model verification, and warning improvements. Details of the manual quality control process are included and examples of some of these applications are presented.
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Pritychenko, B. "75 Years of Experimental Nuclear Reaction Data Compilations". EPJ Web of Conferences 284 (2023): 14002. http://dx.doi.org/10.1051/epjconf/202328414002.
Testo completoAbstract (sommario):
The comprehensive experimental nuclear reaction data compilations were pioneered at the Metallurgical Laboratory, University of Chicago, and Los Alamos National Laboratory [1, 2] for the Manhattan Project needs. In 1947 many Manhattan Project alumni moved to a newly created Brookhaven National Laboratory (BNL) to work on nuclear physics research and data compilations [3–6] in support of nuclear science and reactor research activities. Since the beginning, the data project has relied heavily on computer technologies available at the time, and Brookhaven compilations have been stored in the Sigma Center Information Storage and Retrieval System (SCISRS) that predated the Exchange Format (EXFOR) database. In the following years, the reaction compilations evolved and gained an international component. Currently, the compilation efforts are coordinated by the Nuclear Reaction Data Centers network (NRDC) worldwide, which was founded in 1979 and operates under the auspices of the International Atomic Energy Agency (IAEA). The data compilations in the USA are coordinated by the National Nuclear Data Center (NNDC), Brookhaven National Laboratory for the United States Nuclear Data Program (USNDP). The database compilations represent one of the oldest continuously-operated scientific collaborations that continue to archive and disseminate nuclear data for nuclear science and technology.
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Zhou, Fei, Jie Ren, Yuwen Liu, Xiaoxi Li, Weiqun Wang e Cen Wu. "Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement Data". Genes 13, n. 3 (19 marzo 2022): 544. http://dx.doi.org/10.3390/genes13030544.
Testo completoAbstract (sommario):
We introduce interep, an R package for interaction analysis of repeated measurement data with high-dimensional main and interaction effects. In G × E interaction studies, the forms of environmental factors play a critical role in determining how structured sparsity should be imposed in the high-dimensional scenario to identify important effects. Zhou et al. (2019) (PMID: 31816972) proposed a longitudinal penalization method to select main and interaction effects corresponding to the individual and group structure, respectively, which requires a mixture of individual and group level penalties. The R package interep implements generalized estimating equation (GEE)-based penalization methods with this sparsity assumption. Moreover, alternative methods have also been implemented in the package. These alternative methods merely select effects on an individual level and ignore the group-level interaction structure. In this software article, we first introduce the statistical methodology corresponding to the penalized GEE methods implemented in the package. Next, we present the usage of the core and supporting functions, which is followed by a simulation example with R codes and annotations. The R package interep is available at The Comprehensive R Archive Network (CRAN).
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Tachikawa, R., e Y. Kunii. "COMPREHENSIVE QUANTITATIVE UNDERSTANDING OF THE LANDSCAPE USING TLS POINT CLOUD DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (30 maggio 2022): 297–302. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-297-2022.
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Abstract. Landscape spaces such as gardens and parks are composed of various landscape components, creating diverse landscapes. In general, the quality of the landscape in these spaces is often judged subjectively by visitors. On the other hand, if landscapes can be evaluated objectively, they can be used to create better spaces in the management and creation of landscaped spaces. In recent years, point cloud data has been acquired in urban and natural spaces. In landscaped spaces, point cloud data is increasingly used for landscape simulation and current state planning. In this study, point cloud data acquired with a terrestrial laser scanner (TLS) in the target space were used to quantitatively characterize the entire landscape using fractal analysis and visual and ecological environmental quality models (VQM). We also segmented these data into components of the point cloud data and calculated the relationship between the data and the occupancy of the components. On the other hand, focusing on environmental visual information received passively from a wide range of environments, we conducted an analysis based on panoramic images created from point cloud data. As a result, both fractal analysis and VQM showed a high correlation with previous research methods in understanding the landscape using point cloud data. In addition, the analysis of the landscape was made more efficient than the conventional photographic analysis by segmenting the components in advance at the data processing stage, demonstrating the usefulness of landscape analysis from data acquired by laser scanners.
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Garmaev, Endon Zh, Anatoly I. Kulikov, Bair Z. Tsydypov, Bator V. Sodnomov e Alexander A. Ayurzhanaev. "Environmental Conditions Of Zakamensk Town (Dzhida River Basin Hotspot)". GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, n. 3 (3 ottobre 2019): 224–39. http://dx.doi.org/10.24057/2071-9388-2019-32.
Testo completoAbstract (sommario):
Ecological problems of Zakamensk town are associated with sand deposits that were formed as a result of mining activities of former Dzhidinsky tungstenmolybdenum plant. Sands are accumulated in large quantities and they contain dangerous concentrations of heavy metals. Desertification in an urbanized area is manifested locally, but it differs from agricultural desertification by a profound and comprehensive destructive change in the components of the environment. Maps of soils, vegetation, types of lands, as well as ecological zoning maps of Zakamensk were created. The basis for the creation of electronic maps using GIS were stock, archive and own materials, topographic maps and remote sensing data. Urbanized desertification in Zakamensk is caused by chemical contamination of sandy eluvium, the spreading of pollutants by water flows and wind currents. Erosion occurs both in the form of flat flushing and linear erosion. The most intensive is gully erosion. Quantitative parameters of temporal variability of the erosive rainfall potential for the Zakamensk town are received. The quantitative characteristics of loads of pollutants on the territory of the town are determined on the basis of the erosion-deflation models. The calculations showed that 204 tons/ha of contaminated sand annually falls into the settlement area with water-erosion flows (Pb – 3.7 tons, W – 4.3 tons). Moreover, active wind activity led to the deposition of more metals (Pb – 5.6 tons, W – 6.5 tons) in the town.
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Shrestha, Prakash M., Suresh P. Gupta, Usha Joshi, Morgan Schmutzler, Rudra Aryal, Babu Ram Tiwari, Binod Adhikari, Narayan P. Chapagain, Indra B. Karki e Khem N. Poudyal. "Wavelet Analysis of Atmospheric Ozone and Ultraviolet Radiation on Solar Cycle-24 over Lumbini, Nepal". Atmosphere 15, n. 4 (21 aprile 2024): 509. http://dx.doi.org/10.3390/atmos15040509.
Testo completoAbstract (sommario):
This research aims to comprehensively examine the clearness index (KT), total ozone column (TOC), and ultraviolet A (UVA) and ultraviolet B radiation (UVB) over Lumbini, Nepal (27°28’ N, 83°16’ E, and 150 m above sea level) throughout the 11 years of solar cycle 24 (2008 to 2018). The Lumbini, a highly polluted region, is important in advancing the identification and analysis of TOC variations across regions with similar geographical and climatic attributes. Data from the Ozone Monitoring Instrument (OMI) of the EOS-AURA satellite of NASA were used to analyze the daily, monthly, seasonal, and annual trends in the clearness index (KT), ultraviolet A (UVA), ultraviolet B (UVB), and TOC from the Comprehensive Environmental Data Archive (CEDA). The study found that the yearly averages for KT, TOC, UVA, and UVB were 0.55 ± 0.13, 272 ± 14 DU, 12.61 ± 3.50 W/m2, and 0.32 ± 0.11 W/m2, respectively. These values provide insights into the long-term variations in atmospheric parameters at Lumbini. The study also applied the continuous wavelet transform (CWT) to analyze KT, TOC, UVA, and UVB temporal variations. The power density peak of 35,000 DU2 in the TOC was observed from the end of 2010 to the end of 2011, within 8.5 years, underscoring the significance of analyzing TOC dynamics over extended durations to understand atmospheric behavior comprehensively.
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Hartman, Savannah, Pamela Hallock e Frank Muller-Karger. "Obligation to Enhance OBIS Data for Sea- and Shorebirds of the Americas". Diversity 14, n. 12 (11 dicembre 2022): 1099. http://dx.doi.org/10.3390/d14121099.
Testo completoAbstract (sommario):
The distributions of many sea- and shorebird species span large geographic areas, making them ideal candidates as biomonitors of ecosystem perturbations and long-term environmental trends. The basic question examined in this study was: Does a major open-access data archive contain sufficient temporal- and spatial-scale data to support more detailed inquiry into multi-decadal-scale responses in geographic distributions of specific taxa? The global-scale open-access data platform, Ocean Biodiversity Information System (OBIS), was searched to compile data on bird distributions of the Americas, including the Caribbean Sea. More than 680,000 occurrence records of 210 species, collected between 1965 and 2018, were located and evaluated by marine ecoregion. The Puget Trough/Georgia Basin marine ecoregion, along the United States/Canadian border, and the Virginian marine ecoregion on the US east coast, dominated occurrences, each with more than 100,000 records, while the Gulf of Maine/Bay of Fundy had the most years of records (42). Most records from South America (~29,000) came from the Channels and Fjords of Southern Chile, collected across 16 different years. More than 90% of the recorded data were collected since 1983, and more than 95% of the records were from North American marine ecoregions. We urge additional observations to be shared via OBIS to allow comprehensive large-scale and detailed meta-analyses of spatial and temporal trends in marine and shore-bird communities and their biodiversity.
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Igor G., Ivantsov, e Dubinin Igor V. "Stavropol is the second homeland". Notes in the margins about the unknown years of the life of I.D. Popko and V.F. Zolotarenko". Kavkazologiya 2023, n. 3 (30 settembre 2023): 76–92. http://dx.doi.org/10.31143/2542-212x-2023-3-76-92.
Testo completoAbstract (sommario):
The majority of the lives of Lieutenant General of the Kuban Cossack Army, Ivan Diomidovich Popko, and the Kuban writer and ethnographer Vasily Fedorovich Zolotarenko, their scientific and creative biographies, have been comprehensively examined by historians. However, there remains one segment of their lives that, perhaps, remains the most unexplored and unknown: their childhood and adolescence. This is mainly due to the scarcity of documents covering this period. Official pa-pers provide no information about this particular stage of their friendship. Nevertheless, fragments of information about their early years have been discovered in personal documents. Bits and pieces of such valuable data were uncovered in V. F. Zolotarenko's diary and in I. D. Popko's letters, pre-served in the State Archive of the Stavropol Territory. Additionally, a letter from Stepan Ivanovich Romanovsky was found, which mentions the historian's years of study in Stavropol. This publica-tion serves as an appeal for further investigation into this intriguing matter. It is my sincere hope that researchers will unearth additional documents that will contribute to a more comprehensive under-standing of this hitherto unknown period in the lives of these truly remarkable individuals.
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Angchagun, Kesorn, Phumrapee Boonklang, Chalita Chomkatekaew, Sukritpong Pakdeerat, Gumphol Wongsuwan, Premjit Amornchai, Vanaporn Wuthiekanun et al. "BurkHostGEN: a study protocol for evaluating variations in the Burkholderia pseudomallei and host genomes associated with melioidosis infection". Wellcome Open Research 8 (17 agosto 2023): 347. http://dx.doi.org/10.12688/wellcomeopenres.19809.1.
Testo completoAbstract (sommario):
Background: Melioidosis is a frequently fatal disease caused by an environmental bacterium Burkholderia pseudomallei. The disease is prevalent in northeast Thailand, particularly among rice field farmers who are at risk of bacterial exposure through contact with contaminated soil and water. However, not all exposure results in disease, and infection can have different infection outcomes. Our hypothesis is that the acquisition and outcomes of melioidosis may be influenced by genetic factors of the bacterium, the host, or a combination of both. To address this hypothesis, we aim to collect, sequence, and analyse genetic data from melioidosis patients and controls, along with isolates of B. pseudomallei obtained from patients. Additionally, we will study the metagenomics of the household water supply for both patients and controls, including the presence of B. pseudomallei. Methods: BurkHostGEN is an ongoing observational study being conducted at Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand. Weare obtaining consent from 600 melioidosis patients and 700 controls, spanning both sexes, to collect 1 mL of blood for host DNA analysis, 3 mL of blood for RNA analysis, as well as 5 L of household water supply for metagenomic analysis. Additionally, we are isolating B. pseudomallei from the melioidosis patients to obtain bacterial DNA. This comprehensive approach will allow us to identify B. pseudomallei and their paired host genetic factors associated with disease acquisition and severity. Ethical approvals have been obtained for BurkHostGEN. Host and bacterial genetic data will be uploaded to European Genome-Phenome Archive (EGA) and European Nucleotide Archive (ENA), respectively. Conclusions: BurkHostGEN holds the potential to discover bacterial and host genetic factors associated with melioidosis infection and severity of illness. It can also support various study designs, including biomarker validation, disease pathogenesis, and epidemiological analysis not only for melioidosis but also for other infectious diseases.
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Angchagun, Kesorn, Phumrapee Boonklang, Chalita Chomkatekaew, Sukritpong Pakdeerat, Gumphol Wongsuwan, Premjit Amornchai, Vanaporn Wuthiekanun et al. "BurkHostGEN: a study protocol for evaluating variations in the Burkholderia pseudomallei and host genomes associated with melioidosis infection". Wellcome Open Research 8 (2 novembre 2023): 347. http://dx.doi.org/10.12688/wellcomeopenres.19809.2.
Testo completoAbstract (sommario):
Background Melioidosis is a frequently fatal disease caused by an environmental bacterium Burkholderia pseudomallei. The disease is prevalent in northeast Thailand, particularly among rice field farmers who are at risk of bacterial exposure through contact with contaminated soil and water. However, not all exposure results in disease, and infection can manifest diverse outcomes. We postulate that genetic factors, whether from the bacterium, the host or the combination of both, may influence disease outcomes. To address this hypothesis, we aim to collect, sequence, and analyse genetic data from melioidosis patients and controls, along with isolates of B. pseudomallei obtained from patients. Additionally, we will study the metagenomics of the household water supply for both patients and controls, including the presence of B. pseudomallei. Methods BurkHostGEN is an ongoing observational study being conducted at Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand. We are obtaining consent from 600 melioidosis patients and 700 controls, spanning both sexes, to collect 1 mL of blood for host DNA analysis, 3 mL of blood for RNA analysis, as well as 5 L of household water supply for metagenomic analysis. Additionally, we are isolating B. pseudomallei from the melioidosis patients to obtain bacterial DNA. This comprehensive approach will allow us to identify B. pseudomallei and their paired host genetic factors associated with disease acquisition and severity. Ethical approvals have been obtained for BurkHostGEN. Host and bacterial genetic data will be uploaded to European Genome-Phenome Archive (EGA) and European Nucleotide Archive (ENA), respectively. Conclusions BurkHostGEN holds the potential to discover bacterial and host genetic factors associated with melioidosis infection and severity of illness. It can also support various study designs, including biomarker validation, disease pathogenesis, and epidemiological analysis not only for melioidosis but also for other infectious diseases.
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Beaudon, Emilie, Julia M. Sheets, Ellen Martin, M. Roxana Sierra-Hernández, Ellen Mosley-Thompson e Lonnie G. Thompson. "Aeolian Dust Preserved in the Guliya Ice Cap (Northwestern Tibet): A Promising Paleo-Environmental Messenger". Geosciences 12, n. 10 (30 settembre 2022): 366. http://dx.doi.org/10.3390/geosciences12100366.
Testo completoAbstract (sommario):
Asian aeolian dust is a primary factor in Northern Hemisphere atmospheric dynamics. Predicting past and future changes in atmospheric circulation patterns relies in part on sound knowledge of Central Asian dust properties and the dust cycle. Unfortunately for that region, data are too sparse to constrain the variation in dust composition over time. Here, we evaluate the potential of a Tibetan ice core to provide a comprehensive paleo-atmospheric dust record and thereby reduce uncertainties regarding mineral aerosols’ feedback on the climate system. We present the first datasets of the mineralogical, geochemical, and Sr-Nd isotope composition of aeolian dust preserved in pre-Holocene layers of two ice cores from the Guliya ice cap (Kunlun Mountains). The composition of samples from the Summit (GS; 6710 m a.s.l.) and Plateau (GP; 6200 m a.s.l.) cores reveals that the characteristics of the dust in the cores’ deepest ice layers are significantly different. The deepest GS layers reveal isotopic values that correspond to aeolian particles from the Taklimakan desert, contain a mix of fine and coarse grains, and include weathering-sensitive material suggestive of a dry climate at the source. The deep GP layers primarily consist of unusual nodules of well size-sorted grey clay enriched in weathering-resistant minerals and elements typically found in geothermal waters, suggesting that the dust preserved in the oldest GP layers originates from a wet and possibly anoxic source. The variability of the dust composition highlighted here attests to its relevance as a paleo-environmental messenger and warrants further exploration of the particularly heterogenous Guliya glacial dust archive.
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Coxon, Gemma, Nans Addor, John P. Bloomfield, Jim Freer, Matt Fry, Jamie Hannaford, Nicholas J. K. Howden et al. "CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain". Earth System Science Data 12, n. 4 (12 ottobre 2020): 2459–83. http://dx.doi.org/10.5194/essd-12-2459-2020.
Testo completoAbstract (sommario):
Abstract. We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-GB (Catchment Attributes and MEteorology for Large-sample Studies). CAMELS-GB collates river flows, catchment attributes and catchment boundaries from the UK National River Flow Archive together with a suite of new meteorological time series and catchment attributes. These data are provided for 671 catchments that cover a wide range of climatic, hydrological, landscape, and human management characteristics across Great Britain. Daily time series covering 1970–2015 (a period including several hydrological extreme events) are provided for a range of hydro-meteorological variables including rainfall, potential evapotranspiration, temperature, radiation, humidity, and river flow. A comprehensive set of catchment attributes is quantified including topography, climate, hydrology, land cover, soils, and hydrogeology. Importantly, we also derive human management attributes (including attributes summarising abstractions, returns, and reservoir capacity in each catchment), as well as attributes describing the quality of the flow data including the first set of discharge uncertainty estimates (provided at multiple flow quantiles) for Great Britain. CAMELS-GB (Coxon et al., 2020; available at https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9) is intended for the community as a publicly available, easily accessible dataset to use in a wide range of environmental and modelling analyses.
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Daura, Joan, Montserrat Sanz, Manuel Vaquero, Juan Manuel López-García, Hugues-Alexandre Blain e Antonio Sánchez Marco. "Neanderthal Fossils, Mobile Toolkit and a Hyena Den: The Archaeological Assemblage of Lateral Gallery 1 in Cova Del Gegant (NE Iberian Peninsula)". Quaternary 5, n. 1 (18 febbraio 2022): 12. http://dx.doi.org/10.3390/quat5010012.
Testo completoAbstract (sommario):
Lateral Gallery 1 (GL1) in Cova del Gegant is a Middle Palaeolithic assemblage yielding diagnostic Neanderthal remains, together with Mousterian tools and faunal remains. It is a good archive for evaluating the environmental conditions of the coastal areas during MIS 4 and MIS 3 in the NE of the Iberian Peninsula, and also the Neanderthals’ behaviour and mobility. Here we provide a comprehensive assessment of all of the data available from GL1, such as lithics, human remains, fauna and chronostratigraphic details. The biotic ecofacts studied point to the development of a coastal plain in front of the cave and indicate that local conditions likely favoured a large variety of ecosystems characterised by open environments and woodland-edge taxa, and favoured repeated visits by humans during the Middle Palaeolithic. The evidence suggests that the gallery was mainly used by carnivores, such as hyenas, and also by Neanderthals as a brief stopping place, in view of the presence of transported and abandoned ergonomic lithic artifacts and/or the placement of bodies (or parts of bodies). The regional context suggests high human mobility and emphasises the variability of Neanderthal behaviour.
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Souza, Carlos M., Julia Z. Shimbo, Marcos R. Rosa, Leandro L. Parente, Ane A. Alencar, Bernardo F. T. Rudorff, Heinrich Hasenack et al. "Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine". Remote Sensing 12, n. 17 (25 agosto 2020): 2735. http://dx.doi.org/10.3390/rs12172735.
Testo completoAbstract (sommario):
Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly updates and high spatial resolution time-series data to better understand historical land use and land cover dynamics, and the subsequent impacts in the country biomes. In this study, we described a novel approach and the results achieved by a multi-disciplinary network called MapBiomas to reconstruct annual land use and land cover information between 1985 and 2017 for Brazil, based on random forest applied to Landsat archive using Google Earth Engine. We mapped five major classes: forest, non-forest natural formation, farming, non-vegetated areas, and water. These classes were broken into two sub-classification levels leading to the most comprehensive and detailed mapping for the country at a 30 m pixel resolution. The average overall accuracy of the land use and land cover time-series, based on a stratified random sample of 75,000 pixel locations, was 89% ranging from 73 to 95% in the biomes. The 33 years of LULC change data series revealed that Brazil lost 71 Mha of natural vegetation, mostly to cattle ranching and agriculture activities. Pasture expanded by 46% from 1985 to 2017, and agriculture by 172%, mostly replacing old pasture fields. We also identified that 86 Mha of the converted native vegetation was undergoing some level of regrowth. Several applications of the MapBiomas dataset are underway, suggesting that reconstructing historical land use and land cover change maps is useful for advancing the science and to guide social, economic and environmental policy decision-making processes in Brazil.
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Hamada, Yohhei, Matteo Quartagno, Irwin Law, Farihah Malik, Frank Adae Bonsu, Ifedayo M. O. Adetifa, Yaw Adusi-Poku et al. "Tobacco smoking clusters in households affected by tuberculosis in an individual participant data meta-analysis of national tuberculosis prevalence surveys: Time for household-wide interventions?" PLOS Global Public Health 4, n. 2 (29 febbraio 2024): e0002596. http://dx.doi.org/10.1371/journal.pgph.0002596.
Testo completoAbstract (sommario):
Tuberculosis (TB) and non-communicable diseases (NCD) share predisposing risk factors. TB-associated NCD might cluster within households affected with TB requiring shared prevention and care strategies. We conducted an individual participant data meta-analysis of national TB prevalence surveys to determine whether NCD cluster in members of households with TB. We identified eligible surveys that reported at least one NCD or NCD risk factor through the archive maintained by the World Health Organization and searching in Medline and Embase from 1 January 2000 to 10 August 2021, which was updated on 23 March 2023. We compared the prevalence of NCD and their risk factors between people who do not have TB living in households with at least one person with TB (members of households with TB), and members of households without TB. We included 16 surveys (n = 740,815) from Asia and Africa. In a multivariable model adjusted for age and gender, the odds of smoking was higher among members of households with TB (adjusted odds ratio (aOR) 1.23; 95% CI: 1.11–1.38), compared with members of households without TB. The analysis did not find a significant difference in the prevalence of alcohol drinking, diabetes, hypertension, or BMI between members of households with and without TB. Studies evaluating household-wide interventions for smoking to reduce its dual impact on TB and NCD may be warranted. Systematically screening for NCD using objective diagnostic methods is needed to understand the actual burden of NCD and inform comprehensive interventions.
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Ahmadi, Bonyad, Mehdi Gholamalifard, Tiit Kutser, Stefano Vignudelli e Andrey Kostianoy. "Spatio-Temporal Variability in Bio-Optical Properties of the Southern Caspian Sea: A Historic Analysis of Ocean Color Data". Remote Sensing 12, n. 23 (4 dicembre 2020): 3975. http://dx.doi.org/10.3390/rs12233975.
Testo completoAbstract (sommario):
Currently, satellite ocean color imageries play an important role in monitoring of water properties in various oceanic, coastal, and inland ecosystems. Although there is a long-time and global archive of such valuable data, no study has comprehensively used these data to assess the changes in the Caspian Sea. Hence, this study assessed the variability of bio-optical properties of the upper-water column in the Southern Caspian Sea (SCS) using the archive of the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectroradiometer (MODIS). The images acquired from SeaWiFS (January 1998 to December 2002) and MODIS Aqua (January 2003 to December 2015) satellites were used to investigate the spatial–temporal variability of bio-optical properties including Chlorophyll-a (Chl-a), attenuation coefficient, and remote sensing reflectance, and environmental parameters such as sea surface temperature (SST), wind stress and the El Nino-southern oscillation (ENSO) phenomena at different time lags in the study area. The trend analysis demonstrated an overall increase of 0.3358 mg m−3 in the Chl-a concentration during 1998–2015 (annual increase rate of 0.018 mg m−3 year−1) and four algal blooms and in turn an abnormal increase in Chl-a concentration were occurred in August 2001, September 2005, 2009, and August 2010. The linear model revealed that Chl-a in the northern and middle part of the study area had been influenced by the attenuation coefficient after a one-month lag time. The analysis revealed a sharp decline in Chl-a concentration during 2011–2015 and showed a high correlation with the turbidity and attenuation coefficient in the southern region, while Kd_490nm and remote sensing reflectance did a low one. Generally, Chl-a concentration exhibited a positive correlation with the attenuation coefficient (r = 0.63) and with remote sensing reflectance at the 555 nm (r = 0.111). This study can be used as the basis for predictive modeling to evaluate the changes of water quality and bio-optical indices in the Southern Caspian Sea (SCS).
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Samuelson, Heidi, e Lauren Gaches. "National Environmental Satellite, Data, and Information Service: Providing Global Observations to Understand Earth Science Systems". Marine Technology Society Journal 49, n. 2 (1 marzo 2015): 23–36. http://dx.doi.org/10.4031/mtsj.49.2.19.
Testo completoAbstract (sommario):
AbstractThe National Oceanic and Atmospheric Administration's (NOAA) mission is to monitor, assess, and predict an ever-changing environment that extends from the bottom of the ocean to the surface of the sun. The National Environmental Satellite, Data, and Information Service (NESDIS) operates a fleet of environmental satellites that provide observations and measurements critical for this assessment of the Earth-sun system, including data for real-time monitoring of severe weather events and for developing numerical prediction models and forecasts. NESDIS also archives the data collected so users can access historical satellite data on atmosphere, land, and oceans dating back to the 1970s and in situ data going back centuries in order to improve our understanding of Earth's climate system. Because the World Ocean is one of the most important drivers of weather and climate on the planet, NOAA satellites provide global data for operational products that affect Earth's ocean ecosystems, including coral bleaching alert areas, detecting harmful algal blooms, and monitoring sea ice. With its high-volume data centers, NESDIS provides access to the world's most comprehensive sources of marine environmental data and information. This paper provides a brief history of NOAA satellites and an overview of the satellites currently in operation. Then, it focuses on satellite data and products that come together to monitor Earth's oceans and provide support for tropical storm monitoring, El Niño Southern Oscillation research, and ocean ecosystem monitoring. The paper concludes with a look toward NOAA's next generation of satellites that will be launching in the coming years and their effect on ocean monitoring.
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Cheung, Kevin K. W., Aliakbar A. Rasuly, Fei Ji e Lisa T. C. Chang. "Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index". Atmosphere 12, n. 5 (13 maggio 2021): 627. http://dx.doi.org/10.3390/atmos12050627.
Testo completoAbstract (sommario):
In this study; the spatial distribution of the Daily Precipitation Concentration Index (DPCI) has been analyzed inside the Greater Sydney Metropolitan Area (GSMA). Accordingly, the rainfall database from the Australian Bureau of Meteorology archive was utilized after comprehensive quality control. The compiled data contains a set of 41 rainfall stations indicating consistent daily precipitation series from 1950 to 2015. In the analysis of the DPCI across GSMA the techniques of Moran’s Spatial Autocorrelation has been applied. In addition, a cross-covariance method was applied to assess the spatial interdependency between vector-based datasets after performing an Ordinary Kriging interpolation. The results identify four well-recognized intense rainfall development zones: the south coast and topographic areas of the Illawarra district characterized by Tasman Sea coastal regions with DPCI values ranging from 0.61 to 0.63, the western highlands of the Blue Mountains, with values between 0.60 and 0.62, the inland regions, with lowest rainfall concentrations between 0.55 and 0.59, and lastly the districts located inside the GSMA with DPCI ranging 0.60 to 0.61. Such spatial distribution has revealed the rainstorm and severe thunderstorm activity in the area. This study applies the present models to identify the nature and mechanisms underlying the distribution of torrential rains over space within the metropolis of Sydney, and to monitor any changes in the spatial pattern under the warming climate.
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Ma, B., X. Guo, J. Jiang, D. Culibrk, S. Ding, M. Vilotic e Y. Li. "LONG-TERM MONITORING OF ENVIRONMENTAL CHANGES ALONG CHINA-EUROPE RAILWAY EXPRESS (CER EXPRESS) USING MULTI-SOURCE REMOTELY SENSED DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (29 giugno 2021): 817–22. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-817-2021.
Testo completoAbstract (sommario):
Abstract. The China-Europe Railway Express (CER-Express), not only promoted the cooperation between countries and regions across Asia and Europe but also gave rise to remarkable changes in landcover and had a profound effect on the natural environment along the railway in recent years. Effective ways to monitor and assess ecological changes are urgently needed to ensure sustainable development of CER-Express. There are very few existing environmental monitoring studies focusing on the area along the CERExpress. In this paper, we present a study of environmental degradation, which occurred during the construction and operation of CER-Express from 2010 to 2018, based on a comprehensive evaluation index (CEI), which takes three environmental indicators into account and provides a timely and reliable evaluation of environmental changes at large scales. In addition, the environment conditions of the regions and countries along the CER-Express have been quantified and comparatively studied at different scales over different periods, using histograms of mean CEI values. Furthermore, specific causes of environmental degradation in the rail-intensive countries and small-area countries along the railway are discussed. Our results show that the environmental degradation can be detected in most of the rail-intensive countries, such as Germany, Poland, Austria, and Czech Republic along the railway. Therefore, to ensure sustainability of the CER-Express, environmental protection along the railway should be paid more attention to and a reasonable arrangement for the exploitation of CER-Express devised.
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Wang, Hao, Xiaogang Ning, Weiwei Zhu e Fei Li. "COMPREHENSIVE EVALUATION OF URBAN SPRAWL ON ECOLOGICAL ENVIRONMENT USING MULTI-SOURCE DATA: A CASE STUDY OF BEIJING". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 giugno 2016): 1073–77. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1073-2016.
Testo completoAbstract (sommario):
With urban population growing and urban sprawling, urban ecological environment problems appear. Study on spatiotemporal characteristics of urban sprawl and its impact on ecological environment is useful for ecological civilization construction. Although a lot of work has been conducted on urban sprawl and its impact on ecological environment, resolution of images to extract urban boundary was relatively coarse and most studies only focused on certain indicators of ecological environment, rather than comprehensive evaluation of urban ecological environmental impact. In this study, high-resolution remote sensing images of Beijing from aerial photography in 2002 and 2013 respectively are employed to extract urban boundary with manual interpretation. Fractional Vegetation Coverage (FVC), Water Density (WD), Impervious Surfaces Coverage (ISC), Net Primary Production (NPP), and Land Surface Temperature (LST) are adopted to represent ecological environment. The ecological environment indicators are measured with some general algorithms by combining Landsat images, GIS data and metrological data of 243 day, 2001 and 244 day, 2013. In order to evaluate the impact of urban sprawl on ecological environment, pseudo changes due to metrological variation and other noise in this time period are removed after images calibration. The impact of urban sprawl on ecological environment is evaluated at different scales of urban extent, Beijing ring road and watershed. Results show that Beijing had been undergoing a rapid urbanization from 2002 to 2013, with urban area increase from 600 square kilometres to 987 square kilometres. All ecological environment indicators except LST became terrible in urban sprawl region, with carbon reduction of approximate 40508 tons. The Beiyun River watershed of Beijing degraded seriously since ISC increased to 0.59. Gratifyingly, ecological environment indicators including NDVI, NPP, and LST inside of 4<sup>th</sup> Ring Road became well.
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Jarzyna, Jadwiga A., Stanisław Baudzis, Mirosław Janowski e Edyta Puskarczyk. "Geothermal Resources Recognition and Characterization on the Basis of Well Logging and Petrophysical Laboratory Data, Polish Case Studies". Energies 14, n. 4 (6 febbraio 2021): 850. http://dx.doi.org/10.3390/en14040850.
Testo completoAbstract (sommario):
Examples from the Polish clastic and carbonate reservoirs from the Central Polish Anticlinorium, Carpathians and Carpathian Foredeep are presented to illustrate possibilities of using well logging to geothermal resources recognition and characterization. Firstly, there was presented a short description of selected well logs and methodology of determination of petrophysical parameters useful in geothermal investigations: porosity, permeability, fracturing, mineral composition, elasticity of orogeny and mineralization of formation water from well logs. Special attention was allotted to spectral gamma-ray and temperature logs to show their usefulness to radiogenic heat calculation and heat flux modelling. Electric imaging and advanced acoustic logs provided with continuous information on natural and induced fracturing of formation and improved lithology recognition. Wireline and production logging were discussed to present the wealth of methods that could be used. A separate matter was thermal conductivity provided from the laboratory experiments or calculated from the results of the comprehensive interpretation of well logs, i.e., volume or mass of minerals composing the rocks. It was proven that, in geothermal investigations and hydrocarbon prospection, the same petrophysical parameters are considered, and well-logging acquisition equipment and advanced methods of processing and interpretation, developed and improved for almost one hundred years, can be successfully used in the detection and characterization of the potential geothermal reservoirs. It was shown that the newest (current investment)—as well as the old type (archive)—logs provide useful information.
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Thompson, Caroline A., e Ming-Hsiang Tsou. "Abstract IA08: Improving researcher accessibility to publicly available data through creative integration, geospatial visualization, and open data portals". Cancer Epidemiology, Biomarkers & Prevention 29, n. 9_Supplement (1 settembre 2020): IA08. http://dx.doi.org/10.1158/1538-7755.modpop19-ia08.
Testo completoAbstract (sommario):
Abstract The increased accessibility of population-level data made available by the government and public health and consumer agencies provides a unique opportunity for integrative data analysis, spatial visualization with much higher resolution to identify clusters of disease, and their correlation with geospatial, socioeconomic, and demographic predictors. However, interactive mapping and spatial analysis tools are underutilized by health researchers and decision-makers as a result of scarce training materials, few examples demonstrating their successful use, and poor mechanisms for sharing results generated by geovisualization. Further, in the wake of massive amounts of new data and analytical tool availability, consumers of cancer population health data, such as academic researchers and public health practitioners, are facing an ongoing transformation of practice resulting in the need for effective collaboration and sharing of resources within and across disciplinary and geographic boundaries. In this talk we will summarize three of our ongoing projects that leverage web-based technologies with the aim to reduce barriers to data sharing, promote simultaneous analysis of multiple datasets, and enable geovisualization of cancer outcomes and their interrelationships with social and spatial factors. The Disentangling Disparities Data Warehouse, or D3W, is a population-based data resource that includes geotagged California Cancer Registry data linked to census, American Community Survey, and other curated sources of neighborhood-level contextual and environmental data. The D3W allows ecologic and/or multilevel statistical analysis and supports sophisticated analysis of the spatial dynamics of cancer in California. The HealthWebMapper is a highly interactive data visualization tool with a simple two-tier web geographic information systems (GIS) framework. This dynamic web GIS/mapping tool was created with open-source JavaScript library, Leaflet, and free web authoring tools (bootstrap, jquery, and Google Chart) to provide user-friendly maps and data-mining functions, including multiple classification methods, correlation analysis, data export, and side-by-side displays. HealthWebMapper is an open source application and available via a public Github repository, and it can be easily installed on any website without specialized GIS servers or databases. Finally, to promote ease of access to the D3W and HealthWebMapper as well as other research data resources, we are developing the Health Data Open Analytic Portal, with support from the newly established NIH-funded HealthLINK Center for Population Health and Health Disparities Research at San Diego State University. The key functions of the open data portal are to archive, manage, download, and integrate disease, environmental, socioeconomic, and health behavior data. The data portal will enable the sharing, archiving, and learning of research procedures and health data resources. The searchable and downloadable data portal will also provide comprehensive research investigator profiles and online training materials to facilitate transdisciplinary research collaborations in cancer population health and beyond. Citation Format: Caroline A. Thompson, Ming-Hsiang Tsou. Improving researcher accessibility to publicly available data through creative integration, geospatial visualization, and open data portals [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA08.
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Stamatis, Michael, Nikolaos Hatzianastassiou, Marios-Bruno Korras-Carraca, Christos Matsoukas, Martin Wild e Ilias Vardavas. "An Assessment of Global Dimming and Brightening during 1984–2018 Using the FORTH Radiative Transfer Model and ISCCP Satellite and MERRA-2 Reanalysis Data". Atmosphere 14, n. 8 (8 agosto 2023): 1258. http://dx.doi.org/10.3390/atmos14081258.
Testo completoAbstract (sommario):
In this study, an assessment of the FORTH radiative transfer model (RTM) surface solar radiation (SSR) as well as its interdecadal changes (Δ(SSR)), namely global dimming and brightening (GDB), is performed during the 35-year period of 1984–2018. Furthermore, a thorough evaluation of SSR and (Δ(SSR)) is conducted against high-quality reference surface measurements from 1193 Global Energy Balance Archive (GEBA) and 66 Baseline Surface Radiation Network (BSRN) stations. For the first time, the FORTH-RTM Δ(SSR) was evaluated over an extended period of 35 years and with a spatial resolution of 0.5° × 0.625°. The RTM uses state-of-the-art input products such as MERRA-2 and ISCCP-H and computes 35-year-long monthly SSR and GDB, which are compared to a comprehensive dataset of reference measurements from GEBA and BSRN. Overall, the FORTH-RTM deseasonalized SSR anomalies correlate satisfactorily with either GEBA (R equal to 0.72) or BSRN (R equal to 0.80). The percentage of agreement between the sign of computed GEBA and FORTH-RTM Δ(SSR) is equal to 63.5% and the corresponding percentage for FORTH-RTM and BSRN is 54.5%. The obtained results indicate that a considerable and statistically significant increase in SSR (Brightening) took place over Europe, Mexico, Brazil, Argentina, Central and NW African areas, and some parts of the tropical oceans from the early 1980s to the late 2010s. On the other hand, during the same 35-year period, a strong and statistically significant decrease in SSR (Dimming) occurred over the western Tropical Pacific, India, Australia, Southern East China, Northern South America, and some parts of oceans. A statistically significant dimming at the 95% confidence level, equal to −0.063 Wm−2 year−1 (or −2.22 Wm−2) from 1984 to 2018 is found over the entire globe, which was more prevalent over oceanic than over continental regions (−0.07 Wm−2 year−1 and −0.03 Wm−2 year−1, statistically significant dimming at the 95% confidence level, respectively) in both hemispheres. Yet, this overall 35-year dimming arose from alternating decadal-scale changes, consisting of dimming during 1984–1989, brightening in the 1990s, turning into dimming over 2000–2009, and brightening during 2010–2018.
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Zhou, T., J. Liu, S. Shin e A. Habib. "MULTI-PRIMITIVE TRIANGULATION OF AIRBORNE AND TERRESTRIAL MOBILE MAPPING IMAGE AND LIDAR DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W1-2023 (25 maggio 2023): 587–94. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w1-2023-587-2023.
Testo completoAbstract (sommario):
Abstract. Over the last few decades, mobile mapping systems (MMS) such as uncrewed aerial vehicles (UAVs) and terrestrial platforms have been demonstrated in collecting geospatial data for a wide range of applications. MMS continue to evolve due to the unprecedented developments in sensor technology and emerging application domains. Integration of image and LiDAR data acquired by these systems can provide a comprehensive 3D model of the area of interest. However, ensuring good alignment of derived products from single or multiple platforms is crucial. Although many studies have been conducted in this area, there is still a need for a comprehensive integration approach that minimizes discrepancies between imagery and LiDAR data due to inaccurate calibration parameters or trajectory artifacts. To address this issue, a tightly-coupled camera/LiDAR integration workflow denoted as Unified Multi-Sensor Advanced Triangulation (UMSAT) is proposed. UMSAT can handle point, linear, and areal features derived from imaging and ranging systems while utilizing the position and orientation information provided by the navigation unit. This paper explores the feasibility of the proposed framework in two applications – archaeological mapping and geometric documentation of transportation corridors – for improving the quality of derived data/products from imaging and ranging remote sensing systems. Experimental results demonstrate that the UMSAT framework successfully aligns multi-temporal, multi-sensor, and multi-platform geospatial data.
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Brauer, Achim, Ingo Heinrich, Markus J. Schwab, Birgit Plessen, Brian Brademann, Matthias Köppl, Sylvia Pinkerneil, Daniel Balanzategui, Gerhard Helle e Theresa Blume. "Lakes and trees as climate and environment archives: the TERENO Northeastern German Lowland Observatory". DEUQUA Special Publications 4 (15 settembre 2022): 41–58. http://dx.doi.org/10.5194/deuquasp-4-41-2022.
Testo completoAbstract (sommario):
Abstract. Robust reconstruction of past climate and environmental change based on proxy data obtained from natural archives requires an in-depth understanding of the processes and mechanisms that form and determine these proxies. Here we present comprehensive long-term monitoring projects for seasonally laminated (varved) lake sediments and tree rings in the northern German lowlands. The two monitoring sites are located in the nature park Nossentiner/Schwinzer Heide (Tiefer See) and in the Müritz National Park (tree rings) and are an integral part of the Helmholtz TERrestrial ENvironmental Observatories (TERENO) infrastructure initiative. Both sites are located in the close vicinity of moraine deposits of the main ice advance of the Pomeranian phase of the Weichselian glaciation. This field guide provides an introduction to the local morphologies and landscapes as well as details of the monitoring concepts and some selected results.
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Konecky, Bronwen L., Nicholas P. McKay, Olga V. Churakova (Sidorova), Laia Comas-Bru, Emilie P. Dassié, Kristine L. DeLong, Georgina M. Falster et al. "The Iso2k database: a global compilation of paleo-<i>δ</i><sup>18</sup>O and <i>δ</i><sup>2</sup>H records to aid understanding of Common Era climate". Earth System Science Data 12, n. 3 (23 settembre 2020): 2261–88. http://dx.doi.org/10.5194/essd-12-2261-2020.
Testo completoAbstract (sommario):
Abstract. Reconstructions of global hydroclimate during the Common Era (CE; the past ∼2000 years) are important for providing context for current and future global environmental change. Stable isotope ratios in water are quantitative indicators of hydroclimate on regional to global scales, and these signals are encoded in a wide range of natural geologic archives. Here we present the Iso2k database, a global compilation of previously published datasets from a variety of natural archives that record the stable oxygen (δ18O) or hydrogen (δ2H) isotopic compositions of environmental waters, which reflect hydroclimate changes over the CE. The Iso2k database contains 759 isotope records from the terrestrial and marine realms, including glacier and ground ice (210); speleothems (68); corals, sclerosponges, and mollusks (143); wood (81); lake sediments and other terrestrial sediments (e.g., loess) (158); and marine sediments (99). Individual datasets have temporal resolutions ranging from sub-annual to centennial and include chronological data where available. A fundamental feature of the database is its comprehensive metadata, which will assist both experts and nonexperts in the interpretation of each record and in data synthesis. Key metadata fields have standardized vocabularies to facilitate comparisons across diverse archives and with climate-model-simulated fields. This is the first global-scale collection of water isotope proxy records from multiple types of geological and biological archives. It is suitable for evaluating hydroclimate processes through time and space using large-scale synthesis, model–data intercomparison and (paleo)data assimilation. The Iso2k database is available for download at https://doi.org/10.25921/57j8-vs18 (Konecky and McKay, 2020) and is also accessible via the NOAA/WDS Paleo Data landing page: https://www.ncdc.noaa.gov/paleo/study/29593 (last access: 30 July 2020).
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Yu, LiWei, Lei Zhang e Zhen Gong. "An Optimization Model for Landscape Planning and Environmental Design of Smart Cities Based on Big Data Analysis". Scientific Programming 2022 (20 aprile 2022): 1–12. http://dx.doi.org/10.1155/2022/2955283.
Testo completoAbstract (sommario):
This paper adopts “digital landscape design logic,” analyzes and researches smart city and digital landscape design, and builds a digital city based on design logic, design basis, environment analysis, and results in a presentation based on the dilemma of landscape garden planning and design at this stage and the development trend of the smart garden and digital landscape design. The optimization model of the landscape and environment design is constructed based on design logic, design basis, environment analysis, and result presentation. First, on the Hadoop distributed computing platform based on the MapReduce parallel processing framework, we implement the massive small file processing methods (Hadoop Archives, CombineFileInputFormat, and Sequence Files) to compensate for the inherent defects of Hadoop and experimentally compare the memory consumption and execution efficiency of the three methods to propose a choice. The memory consumption and execution efficiency of the three methods are experimentally compared to propose a selection strategy. Finally, based on the MR-PFP algorithm, we parallelize the frequent itemset in-cab trajectory big data to generate interesting strong association rules. The experimental results show that the MR-PFP algorithm has better speedup ratio performance and higher mining efficiency than the parallel frequent pattern (PFP) growth algorithm. The research and analysis focused on the digital implementation of the standalone environmental analysis, using Rhino software and Grasshopper visual programming language to build parametric logic, establish parametric analysis models, and conduct a comprehensive analysis of the current environment. The study explores the use of digital landscape design methods and technologies in the landscape design process. Using Rhino + Grasshopper parametric and visualization programming software, we built parametric analysis models around elevation, slope, slope direction, water catchment, and viewable area and used mapping and overlay techniques to quantify the urban space. Finally, the purpose of collecting, monitoring, analyzing, simulating, creating, and reproducing landscape information is achieved.
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Matano, Fabio. "Analysis and Classification of Natural and Human-Induced Ground Deformations at Regional Scale (Campania, Italy) Detected by Satellite Synthetic-Aperture Radar Interferometry Archive Datasets". Remote Sensing 11, n. 23 (28 novembre 2019): 2822. http://dx.doi.org/10.3390/rs11232822.
Testo completoAbstract (sommario):
The high levels of geo-hydrological, seismic, and volcanic hazards in the Campania region prompted full data collection from C-band satellites ERS-1/2, ENVISAT, and RADARSAT within regional (TELLUS) and national (PST-A) projects. The quantitative analysis, interpretation, and classification of natural and human-induced slow-rate ground deformations across a span of two decades (1992–2010) was performed at regional scale (Campania, Italy) by using interferometric archive datasets, based on the Persistent Scatterer Interferometry approach. As radar satellite sensors have a side-looking view, the post-processing of the interferometric datasets allows for the evaluation of two spatial components (vertical and E-W horizontal ones) of ground deformation, while the N-S horizontal component cannot be detected. The ground deformation components have been analyzed across 89.5% of the Campania territory within a variety of environmental, topographical, and geological conditions. The main part (57%) of the regional territory was characterized during 1992–2010 by stable areas, where SAR signals do not have recorded significant horizontal and vertical components of ground deformation with an average annual rate greater than +1 mm/yr or lower than −1 mm/yr. Within the deforming areas, the coastal plains are characterized by widespread and continuous strong subsidence signals due to sediment compaction locally enhanced by human activity, while the inner plain sectors show mainly scattered spots with locally high subsidence in correspondence of urban areas, sinkholes, and groundwater withdrawals. The volcanic sectors show interplaying horizontal and vertical trends due to volcano-tectonic processes, while in the hilly and mountain inner sectors the ground deformation is mainly controlled by large-scale tectonic activity and by local landslide activity. The groundwater-related deformation is the dominant cause of human-caused ground deformation. The results confirm the importance of using Persistent Scatterer Interferometry data for a comprehensive understanding of rates and patterns of recent ground deformation at regional scale also within tectonically active areas as in Campania region.
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Mo, Fan, Junfeng Xie, Shuyi Wang, Liping Zhao, Xiang Li, Haoran Xia e Yongjie Shang. "Comprehensive Vibration Analysis and Modeling for ZY-3 Satellite's Lifecycle". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (10 maggio 2024): 511–22. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-511-2024.
Testo completoAbstract (sommario):
Abstract. A stable platform environment is essential for achieving high-quality imaging and accurate attitude measurement of the ZY-3's stereo camera. It serves as the fundamental guarantee for the satellite's high geometric precision. Throughout its orbital operation, the platform encounters periodic vibrational occurrences resulting from internal load mechanics and significant external environmental variations, thereby impeding the high-fidelity collection of information by the satellite payload. The detection and modeling of vibrations are crucial tasks for the satellite ground system, as they provide reliable parameter inputs for optimizing attitude accuracy and image quality. This paper presents a method for developing a comprehensive frequency variation vibrational model of the ZY-3 satellite platform throughout its lifecycle, utilizing the inertial gyroscopes (gyros) data of the ZY-3 satellite. The instrument has identified vibrations at three specific frequencies: 0.21 Hz, 0.56 Hz, and 1.12 Hz, each with amplitudes of 0.07″, 0.04″, and 0.04″, respectively. Additionally, it has detected two fluctuating frequencies around 0.3 Hz and 0.6Hz. The period of frequency variation is approximately one year, with vibration ranges of (0.267, 0.299) and (0.603, 0.695). Following a malfunction of the solar panels on the satellite, there has been a shift in the vibration range. Moreover, as the satellite's on-orbit duration increases, this range is also undergoing gradual changes.
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Ismail, M. H., A. Shaker e S. Li. "DEVELOPING COMPLETE URBAN DIGITAL TWINS IN BUSY ENVIRONMENTS: A FRAMEWORK FOR FACILITATING 3D MODEL GENERATION FROM MULTI-SOURCE POINT CLOUD DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13 dicembre 2023): 7–14. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-7-2023.
Testo completoAbstract (sommario):
Abstract. The proliferation of affordable LiDAR technology and photogrammetry sensors has revolutionized 3D data acquisition in built environments, enabling comprehensive data capture from citywide scales to interior structures. This data can be transformed into digital twins, providing valuable resources for city planners, architects, engineers, and decision-makers. However, current studies often overlook the limitations of real-world point cloud datasets derived from LiDAR systems, which are voluminous, noisy, incomplete, and lacking information, which hinders monitoring, interpretation, and automated analysis. To address these challenges, methods are required to prepare point cloud data, ensuring accurate and reliable 3D representations. This research proposes a detailed framework for point cloud data preparation in busy urban environments. It includes precise algorithms, software, and parameter guidelines, allowing for the creation of comprehensive point cloud datasets. The framework has been successfully implemented on datasets acquired in Toronto, converting point cloud data from various platforms and parameters into an integrated dataset. Results demonstrate the framework's effectiveness in producing accurate and complete point cloud datasets for applications such as classification, information extraction, 3D model generation, and smart cities' monitoring and management.
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Oweru, Pendo Joseph, e Nathan Mnjama. "ARCHIVAL PRESERVATION PRACTICES AT THE RECORDS AND ARCHIVES MANAGEMENT DEPARTMENT IN TANZANIA". Mousaion: South African Journal of Information Studies 32, n. 3 (30 settembre 2016): 136–65. http://dx.doi.org/10.25159/0027-2639/1680.
Testo completoAbstract (sommario):
The aim of this study was to assess preservation practices at the Records and Archives Management Department (RAMD) in Tanzania and to make recommendations aimed at ensuring the long-term preservation and accessibility of archives held at RAMD. The population of the study consisted of the Director of RAMD, two Assistant Directors, ten Senior Records Officers, two Records Officers, three Senior Records Management Assistants, three Principal Records Management Assistants and one Records Management Assistant. The data collection instruments included questionnaires, interviews, observation and content analysis. Qualitative data analysis was used to gain a better understanding of the issues under investigation. The findings indicated that legislation relating to the preservation of archives in Tanzania is not comprehensive enough and that RAMD lacks a preservation policy; preserves only paper-based materials; experiences a shortage of storage equipment; holds records under poor environmental conditions; lacks proper archival handling; carries out inadequate housekeeping practices; lacks adequate security and disaster preparedness measures; has inadequate conservation and restoration facilities; is underfunded; and lacks trained and experienced conservators. The study recommends amendments to the Records and Archives Management Act No. 3 of 2002; the formulation of a conservation policy; improvements in housekeeping practices and handling practices; and effective monitoring of temperature and relative humidity.
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Pirrone, N., S. Cinnirella, S. Nativi, F. Sprovieri e I. M. Hedgecock. "ERA-PLANET THE EUROPEAN NETWORK FOR OBSERVING OUR CHANGING PLANET". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 giugno 2016): 1349–55. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1349-2016.
Testo completoAbstract (sommario):
In the last decade a significant number of projects and programmes in different domains of Earth Observation and environmental monitoring have generated a substantial amount of data and knowledge on different aspects related to environmental quality and sustainability. Big data generated by in-situ or satellite platforms are being collected and archived with a plethora of systems and instruments making difficult the sharing of data and transfer of knowledge to stakeholders and policy makers to support key economic and societal sectors. The overarching goal of ERAPLANET is to strengthen the European Research Area in the domain of Earth Observation in coherence with the European participation in the Group on Earth Observation (GEO) and Copernicus. The expected impact is to strengthen European leadership within the forthcoming GEO 2015-2025 Work Plan. ERA-PLANET is designed to reinforce the interface with user communities, whose needs the Global Earth Observation System of Systems (GEOSS) intends to address. It will provide more accurate, comprehensive and authoritative information to policy and decision-makers in key societal benefit areas, such as Smart Cities and Resilient Societies; Resource efficiency and Environmental management; Global changes and Environmental treaties; Polar areas and Natural resources. ERA-PLANET will provide advanced decision-support tools and technologies aimed to better monitor our global environment and share the information and knowledge available in the different domains of Earth Observation.
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Pirrone, N., S. Cinnirella, S. Nativi, F. Sprovieri e I. M. Hedgecock. "ERA-PLANET THE EUROPEAN NETWORK FOR OBSERVING OUR CHANGING PLANET". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 giugno 2016): 1349–55. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1349-2016.
Testo completoAbstract (sommario):
In the last decade a significant number of projects and programmes in different domains of Earth Observation and environmental monitoring have generated a substantial amount of data and knowledge on different aspects related to environmental quality and sustainability. Big data generated by in-situ or satellite platforms are being collected and archived with a plethora of systems and instruments making difficult the sharing of data and transfer of knowledge to stakeholders and policy makers to support key economic and societal sectors. The overarching goal of ERAPLANET is to strengthen the European Research Area in the domain of Earth Observation in coherence with the European participation in the Group on Earth Observation (GEO) and Copernicus. The expected impact is to strengthen European leadership within the forthcoming GEO 2015-2025 Work Plan. ERA-PLANET is designed to reinforce the interface with user communities, whose needs the Global Earth Observation System of Systems (GEOSS) intends to address. It will provide more accurate, comprehensive and authoritative information to policy and decision-makers in key societal benefit areas, such as Smart Cities and Resilient Societies; Resource efficiency and Environmental management; Global changes and Environmental treaties; Polar areas and Natural resources. ERA-PLANET will provide advanced decision-support tools and technologies aimed to better monitor our global environment and share the information and knowledge available in the different domains of Earth Observation.
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Song, S., M. Zhang, S. Yang, F. Dong, Y. Liu, L. Chen, N. Tang, S. Wang e Z. Xiao. "STUDY AND APPLICATION OF FLOOD CONTROL RISK TREND ANALYSIS MODEL". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-5/W1-2023 (24 maggio 2023): 37–44. http://dx.doi.org/10.5194/isprs-archives-xlviii-5-w1-2023-37-2023.
Testo completoAbstract (sommario):
Abstract. In order to analyze the comprehensive risks of natural disasters quantitatively and improve the accuracy of natural disaster management and control, this paper expands the F indicator, Forecast, which is about real-time monitoring and early warning data of natural disasters, and forms the flood control risk trend analysis model framework based on PSR. The framework is named FPSR, i.e. Forecast-Pressure-State-Response, composed of static data and dynamic data. By establishing the four-level index system of flood control risk trend analysis in Fangshan District of Beijing, screening factors, and using analytic hierarchy process, AHP, and experts scoring to determine the weights of each factor, it constructs the flood control risk trend analysis model, FCRTAM. At last, using the real-time monitoring and early warning data of natural disasters in Beijing and the information such as disaster-causing factors, historical natural disasters, major hidden dangers, disaster-bearing bodies, disaster reduction resources (capacities), etc., from National Natural Disaster Comprehensive Risk Census in Fangshan, it analyzes the flood control situation of each town in Fangshan. The results show that the results flood control risk index calculated according to FCRTAM is basically consistent with the actual flood control situation of the towns in Fangshan, and can provide theoretical basis for flood control comprehensive risk trend analysis and the decision-making of disaster prevention and reduction in Fangshan District, which has high use value.
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Mdakane, L. W., B. Sibolla e S. Haupt. "MARITIME DOMAIN AWARENESS IN SOUTH AFRICA: A MULTISOURCE APPROACH USING REMOTE SENSING AND AIS DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13 dicembre 2023): 1473–78. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1473-2023.
Testo completoAbstract (sommario):
Abstract. Maritime Domain Awareness (MDA) is a key factor in ensuring the security, safety, economy, and environment of the maritime domain. Due to the large size of the EEZ, vessel tracking is essential for security, economy, tourism, and safety. However, the failure of one of the two Copernicus Sentinel-1 satellites has posed a significant challenge, hindering the effectiveness of monitoring dark targets. To address this limitation, this study presents the integration of multiple data sources, allowing the mapping of both vessels and dark targets while providing comprehensive analytics to inform decision makers and improve South Africa’s maritime domain awareness efforts. The results demonstrated the potential of combining SAR, optical and AIS data to effectively monitor and manage vessel activities in the South African EEZ. Using these diverse data sources, decision makers can gain real-time insights into maritime traffic, identify potential risks or illicit activities, and make informed decisions to protect national interests and promote sustainable practises within the maritime domain.
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Apeh, M. M., I. A. Musliman e A. Abdul Rahman. "EXPERIMENTING TIN DATA STRUCTURE FOR REPRESENTING PLANE SURFACE AND SUBSURFACE SPATIAL OBJECTS - PRELIMINARY WORK". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W9-2024 (8 marzo 2024): 45–51. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w9-2024-45-2024.
Testo completoAbstract (sommario):
Abstract. Understanding and analyzing complex spatial objects involves the integration of surface, terrain, and subsurface data into 3D spatial models. However, describing and efficiently analyzing the connections between these data model is particularly challenging. This study aims to generate TIN data structure that enable the 3D representation of surface terrain subsurface integration. Furthermore, to ensure accurate representation within a unified 3D model, spatial relationships between the TIN data model could be obtained. Consequently, three – dimensional Triangular Irregular Networks (3D TIN) mesh of spatial objects representations and indexing structures were created. The integration of spatial objects, encompassing surface, terrain, and subsurface elements, is realized through a unified model. This synergy is achieved by combining the distinct 2D and 3D topology structures of each component. The resulting comprehensive model captures the intricate relationships and interactions within the spatial environment. This study provides additional insight into the representation and analysis of surface, terrain, and subsurface management in 3D spatial models. Hence, better decision making, resource management, underground utility installations, and evaluation of spatial objects will be made possible in our future work.
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Padkan, N., P. Trybala, R. Battisti, F. Remondino e C. Bergeret. "EVALUATING MONOCULAR DEPTH ESTIMATION METHODS". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W3-2023 (19 ottobre 2023): 137–44. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-137-2023.
Testo completoAbstract (sommario):
Abstract. Depth estimation from monocular images has become a prominent focus in photogrammetry and computer vision research. Monocular Depth Estimation (MDE), which involves determining depth from a single RGB image, offers numerous advantages, including applications in simultaneous localization and mapping (SLAM), scene comprehension, 3D modeling, robotics, and autonomous driving. Depth information retrieval becomes especially crucial in situations where other sources like stereo images, optical flow, or point clouds are not available. In contrast to traditional stereo or multi-view methods, MDE techniques require fewer computational resources and smaller datasets. This research work presents a comprehensive analysis and evaluation of some state-of-the-art MDE methods, considering their ability to infer depth information in terrestrial images. The evaluation includes quantitative assessments using ground truth data, including 3D analyses and inference time.
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Zhang, X., P. Dai e Z. Zhao. "REFLECTIONS ON THE INDOOR ENVIRONMENTAL MONITORING SYSTEM OF THE HERITAGE BUILDINGS IN THE PALACE MUSEUM – A CASE STUDY OF THE MERIDIAN GATE EXHIBITION HALL". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-1-2021 (28 agosto 2021): 951–55. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-1-2021-951-2021.
Testo completoAbstract (sommario):
Abstract. The indoor micro-environment monitoring system of the Forbidden City aims to explore the thresholds of environmental indicators under the presence of coexistence of multiple cultural relics through the analysis of environmental monitoring data and the deterioration of cultural heritiges, and to develop the optimal strategies for the protection and utilization of cultural heritiges. The objects of interest include historic buildings with modernised interior or those used for the storage of movable cultural relics. Several environmental indicators are employed to quantify the dynamic changes of the indoor environment. In order to meet the requirements of 24-hour data collection, real-time data transmission, and easy management and maintenance, the indoor micro-environmental monitoring system has been continuously upgraded and the "LoRa-based Hybrid Self-Organising Network System Deployment Solution" was deployed to satisfy the demands of high precision, low energy consumption, constant stability, and low cost. Taking the Meridian Gate exhibition hall of the Forbidden City during the exhibition "Splendor Forever: Six Centuries of the Forbidden City" as an example, we discussed the relationship between temperature, humidity, carbon dioxide (CO2) concentrations and visitor volumes, and the results provide a basis for optimizing the management of the exhibition. Future improvements to the indoor environment monitoring should focus on strengthening the in-depth mining of data and multi-factor correlation analysis, so as to gradually form a systematic and comprehensive monitoring management system.
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Calò, F., D. Notti, J. P. Galve, S. Abdikan, T. Görüm, O. Orhan, H. B. Makineci, A. Pepe, M. Yakar e F. Balik Şanli. "A MULTI-SOURCE DATA APPROACH FOR THE INVESTIGATION OF LAND SUBSIDENCE IN THE KONYA BASIN, TURKEY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (6 marzo 2018): 129–35. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-129-2018.
Testo completoAbstract (sommario):
<p><strong>Abstract.</strong> Groundwater depletion caused by rapid population growth, global climate change, water resources overexploitation is a major concern in many regions of the world. Consequences are not limited to a non-renewable water loss but extend to environmental degradation and geo-hazards risk increase. In areas where excessive groundwater withdrawal occurs, land subsidence induced by aquifer compaction is observed, resulting in severe socio-economic damage for the affected communities. In this work, we apply a multi-source data approach to investigate the fragile environment of Konya plain, central Turkey. The area, which is under strong anthropogenic pressures and faces with serious water-related problems, is widely affected by land subsidence. In order to analyze the spatial and temporal pattern of the subsidence process we use the Small BAseline Subset DInSAR technique to process two datasets of ENVISAT SAR images spanning the 2002&ndash;2010 period and to produce ground deformation maps and associated time-series. Results, complemented with meteorological, stratigraphic and piezometric data as well as with land-cover information, allow us to obtain a comprehensive picture of the climatic, hydrogeological and human dynamics of the study area.</p>
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Meng, X., Y. Han, H. Zhang, C. Huang, W. Yang, C. Liu, J. Song e Z. Liu. "PYRS: A PYTHON PACKAGE TO PROCESS REMOTELY SENSED DATA FOR GEOMATICS EDUCATION". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-5/W1-2023 (24 maggio 2023): 21–28. http://dx.doi.org/10.5194/isprs-archives-xlviii-5-w1-2023-21-2023.
Testo completoAbstract (sommario):
Abstract. PyRS is a Python package developed for processing remotely sensed data. It provides a user-friendly interface to handle various remote sensing tasks, including data reading, radiometric correction, image enhancement, image denoising, image segmentation, land cover classification, change detection, construction of remote sensing indices, quantitative inversion. PyRS includes a wide range of state-of-the-art algorithms and tools for processing optical data. PyRS is an open-source project that is continually updated and maintained by a group of developers. It is designed to be modular and extensible, allowing users to add new algorithms and functionality to the package. PyRS is widely used in the remote sensing community and has been applied to various applications, such as land cover mapping, crop monitoring, and disaster response. PyRS is a comprehensive and powerful Python package for processing remotely sensed data. Its user-friendly interface, broad range of functionalities, and open-source nature make it an attractive tool for researchers and practitioners in the remote sensing field. PyRS encapsulates the current mainstream remote sensing algorithms, which can greatly improve the scientific research efficiency of researchers in the field of remote sensing. The form of Python packages and the characteristics of open source make it more flexible and transparent than professional remote sensing processing software. PyRS will contribute to the progress and development of geomatics education.
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Akbulut, Z., S. Ozdemir, F. Karsli e M. Dihkan. "AN ANALYSIS OF NEIGHBOURHOOD TYPES FOR POINTNET++ IN SEMANTIC SEGMENTATION OF AIRBORNE LASER SCANNING DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W9-2024 (8 marzo 2024): 7–13. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w9-2024-7-2024.
Testo completoAbstract (sommario):
Abstract. The objective of the study is to conduct a comprehensive examination of how different neighbourhood types, namely spherical, cylindrical, and k-nearest neighbour (kNN), influence the feature extraction capabilities of the PointNet++ architecture in the semantic segmentation of Airborne Laser Scanning (ALS) point clouds. Two datasets are utilized for semantic segmentation analysis: the Dayton Annotated LiDAR Earth Scan (DALES) and the ISPRS 3D Semantic Labelling Benchmark datasets. In the experiments, the kNN method exhibited approximately 1% higher accuracy in weighted mean F1 and intersection over union (IoU) metrics compared to the spherical and cylindrical neighbourhood types on the DALES dataset. However, in the generalization experiment conducted on the ISPRS dataset, the spherical neighbourhood achieved the best results in these metrics, outperforming the cylindrical neighbourhood by a small margin. Notably, the kNN method was the least accurate, with a decrease in accuracy of approximately 1% in both weighted mean IoU and F1 scores. These findings suggest that the features extracted from spherical and cylindrical neighbourhood types are more generalizable compared to those from the kNN method.
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Dong, L., S. Lyu, L. Wang e X. Gao. "RESEARCH ON COOPERATION STRATEGY BASED ON SATELLITE REMOTE SENSING DATA SERVICE AND TECHNOLOGY APPLICATION BETWEEN CHINA AND ASEAN". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13 dicembre 2023): 1373–78. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1373-2023.
Testo completoAbstract (sommario):
Abstract. Remote sensing (RS) and earth observing technology are flourished with the development of a series of high-resolution earthobservation satellites. As the improvement of China’s earth observation data acquisition capability, one critical issue is put on the agenda that is what kind of models and techniques can promote the future data processing into a new level in terms of service model, massive data processing, development methods, business models, resource sharing, and system sustainability (1). In order to embed domestic satellite advantages into global world and provide increasingly more Chinese wisdom and solution to support the ASEAN regional development, China highlights the propositions on ASEAN-China remote sensing cooperation. On November 1, 2022, the ASEAN-China Satellite Remote Sensing Application Centre (hereinafter referred to as the ACSAC) was officially inaugurated in Beijing. The ACSAC will mainly focus on the establishment of a system and mechanism for a series of substantive operation, promoting the comprehensive sharing of China's land and ocean satellite data, comprehensively rich the international application scenarios of Chinese satellites, promoting applications in multiple fields and carrying out satellite remote sensing application promotion and typical demonstration, continuing to carry out technical exchanges and training with mutual demands and development. At present, ACSAC has stepped into the substantive construction stage. It will give full play to the advantages of China's natural resources land and ocean satellite remote sensing resources, to form a multi-scale, full coverage data resource support, jointly carry out the construction of the ASEAN-China satellite remote sensing data network platform based on the cloud environment, and to jointly build an integrated service open portal for land and ocean satellite data products to ASEAN region. Focusing on the core construction content of ACSAC, this paper systematically collects, summarizes and analyse the data and application needs of satellite remote sensing in ASEAN countries, finds out the current needs to meet the gap, and puts forward some thoughts and ideas on cooperation mechanism, data sharing, customized products and application demonstration of advanced products, aiming to lay a solid foundation for the substantial construction of ACSAC.
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Wang, X., P. Zhang, J. Wu, Z. Li, W. Tang e Z. Sun. "DEFORMATION MONITORING AND TIME-SERIES & DISASTER POTENTIALITY ANALYSIS OF GAS PIPELINE USING SENTINEL DATA". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13 dicembre 2023): 1595–600. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1595-2023.
Testo completoAbstract (sommario):
Abstract. Synthetic aperture radar interferometry (InSAR) measurement technology is a new remote sensing technology that can effectively monitor slight land deformation. Compared with traditional monitoring technology, InSAR technology has the advantages of wide coverage, all-weather and low cost, providing a technical means of high-resolution, high-precision and low-cost for hidden geological hazard identification and deformation monitoring along pipelines. For purpose of this paper, we performed deformation time-series comprehensive processing and analysis on gas pipeline based on Sentinel-1 image data through small baseline data processing, and extracted pipeline deformation quantities from 2020 to 2022. The land deformation rate of the ascending track data during this period ranges from −43 mm/year to 25 mm/year, and that of the descending track data from −66 mm/year to 33 mm/year. The results show that the area along the gas pipeline is in stable condition on the whole, deformation mainly occurred along a section in the northwest of Haidian District, and a large quantity of deformation occurred since January of 2020 until December of 2021, with the maximum deformation quantity of −70mm, This result provided a reliable reference for safety monitoring and repair & maintenance of the gas pipeline.
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Vinnepand, Mathias, Peter Fischer, Ulrich Hambach, Olaf Jöris, Carol-Ann Craig, Christian Zeeden, Barry Thornton et al. "What do dust sinks tell us about their sources and past environmental dynamics? A case study for oxygen isotope stages 3–2 in the Middle Rhine Valley, Germany". E&G Quaternary Science Journal 72, n. 2 (4 agosto 2023): 163–84. http://dx.doi.org/10.5194/egqsj-72-163-2023.
Testo completoAbstract (sommario):
Abstract. The study of geological archives of dust is of great relevance as they are directly linked to past atmospheric circulation and bear the potential to reconstruct dust provenance and flux relative to climate changes. Among the dust sinks, loess–palaeosol sequences (LPSs) represent the only continental and non-aquatic archives that are predominantly built up by dust deposits close to source areas, providing detailed information on Quaternary climatic and terrestrial environmental changes. Upper Pleistocene LPSs of western central Europe have been investigated in great detail showing their linkage to millennial-scale northern hemispheric climate oscillations, but comprehensive data on dust composition and potential source–sink relationships as well as inferred past atmospheric circulation patterns for this region are still fragmentary. Here, we present an integrative approach that systematically combines sedimentological, rock magnetic, and bulk geochemical data, as well as information on Sr and Nd isotope composition, enabling a synthetic interpretation of LPS formation. We focus on the Schwalbenberg RP1 profile in the Middle Rhine Valley in Germany and integrate our data into a robust age model that has recently been established based on high-resolution radiocarbon dating of earthworm calcite granules. We show that Schwalbenberg RP1 is subdivided into a lower section corresponding to late oxygen isotope stage 3 (OIS; ∼ 40–30 ka) and an upper section dating into the Last Glacial Maximum (LGM; ∼ 24–22 ka), separated by a major stratigraphic unconformity. Sedimentological proxies of wind dynamics (U ratio) and pedogenesis (finest clay) of the lower section attest to comparable and largely synchronous patterns of northern hemispheric climatic changes supporting the overall synchronicity of climatic changes in and around the North Atlantic region. The anisotropy of magnetic susceptibility (AMS) reveals a clear correlation between finer grain size and increasing AMS foliation within interstadials, possibly owing to continuous accumulation of dust during pedogenic phases. Such a clear negative correlation has so far not been described for any LPS on stadial–interstadial scales. Distinct shifts in several proxy data supported by changes in isotope composition (87Sr/86Sr and εNd) within the lower section are interpreted as changes in provenance and decreasing weathering simultaneously with an overall cooling and aridification towards the end of OIS 3 (after ∼ 35 ka) and enhanced wind activity with significant input of coarse-grained material recycled from local sources related to increased landscape instability (after ∼ 31.5 ka). We find that environmental conditions within the upper section, most likely dominated by local to regional environmental signals, significantly differ from those in the lower section. In addition, AMS-based reconstructions of near-surface wind trends may indicate the influence of north-easterly winds beside the overall dominance of westerlies. The integrative approach contributes to a more comprehensive understanding of LPS formation including changes in dust composition and associated circulation patterns during Quaternary climate changes.
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Wang, T., H. Zhang e H. Lin. "USING COUPLED NONNEGATIVE MATRIX FACTORIZATION (CNMF) UN-MIXING FOR HIGH SPECTRAL AND SPATIAL RESOLUTION DATA FUSION TO ESTIMATE URBAN IMPERVIOUS SURFACE AND URBAN ECOLOGICAL ENVIRONMENT". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (13 settembre 2017): 919–23. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-919-2017.
Testo completoAbstract (sommario):
surfaces has increasingly roused widely interests of researchers in monitoring urban development and determining the overall environmental health of a watershed. However, studies on the impervious surface using multi-spectral imageries is insufficient and inaccurate due to the complexity of urban infrastructures base on the need to further recognize these impervious surface materials in a finer scale. Hyperspectral imageries have been proved to be sensitive to subtle spectral differences thus capable to exquisitely discriminate these similar materials while limited to the low spatial resolution. Coupled nonnegative matrix factorization (CNMF) unmixing method is one of the most physically straightforward and easily complemented hyperspectral pan-sharpening methods that could produce fused data with both high spectral and spatial resolution. This paper aimed to exploit the latent capacity and tentative validation of CNMF on the killer application of mapping urban impervious surfaces in complexed metropolitan environments like Hong Kong. Experiments showed that the fusion of high spectral and spatial resolution image could provide more accurate and comprehensive information on urban impervious surface estimation.