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Thematische Bibliographien / Open environmental data / Zeitschriftenartikel

Zeitschriftenartikel zum Thema „Open environmental data“

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Veröffentlicht am 22. Juni 2024

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1

Schmidt, Birgit, Birgit Gemeinholzer und Andrew Treloar. „Open Data in Global Environmental Research: The Belmont Forum’s Open Data Survey“. PLOS ONE 11, Nr. 1 (15.01.2016): e0146695. http://dx.doi.org/10.1371/journal.pone.0146695.

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2

Klein, Thomas, Mats Nilsson, Anders Persson und Bertil Håkansson. „From Open Data to Open Analyses—New Opportunities for Environmental Applications?“ Environments 4, Nr. 2 (08.04.2017): 32. http://dx.doi.org/10.3390/environments4020032.

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3

De Giusti, Marisa R., Gonzalo L. Villarreal, Carlos J. Nusch, Analía V. Pinto und Ariel J. Lira. „Open access and open data on natural disasters“. IFLA Journal 43, Nr. 1 (19.12.2016): 81–88. http://dx.doi.org/10.1177/0340035216678236.

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After a flood which devastated the city of La Plata (Argentina) in April 2013, a survey of the water situation in the region revealed that relevant studies and projects related with this area were scattered and lacked visibility. This prompted academic, scientific, technologic, and governmental institutions to take action and work together to compile, organize, and disseminate available data in an unprecedented response to an environmental disaster in the region. For this purpose, a dedicated collection was created in the SEDICI, the institutional repository for the Universidad Nacional de La Plata, and subsequently, the Observatorio Medioambiental La Plata (OMLP), a repository for data on environmental research, was launched. This document describes these collaboration initiatives which aim to anticipate and reduce the impact of natural disasters, their main characteristics, their resources, and their current progress. Projects driven by the OMLP are also described, along with a description of their technical and infrastructure deployment as per the open access policies.

4

Maeda, Eduardo Eiji, und Juan Arévalo Torres. „Open Environmental Data in Developing Countries: Who Benefits?“ AMBIO 41, Nr. 4 (24.04.2012): 410–12. http://dx.doi.org/10.1007/s13280-012-0283-4.

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5

Olbrich, Philipp. „Open space: The global effort for open access to environmental satellite data“. Astropolitics 16, Nr. 3 (02.09.2018): 230–36. http://dx.doi.org/10.1080/14777622.2018.1534470.

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6

Geiger, Christian Philipp, und Jörn Von Lucke. „Open Government and (Linked) (Open) (Government) (Data)“. JeDEM - eJournal of eDemocracy and Open Government 4, Nr. 2 (19.12.2012): 265–78. http://dx.doi.org/10.29379/jedem.v4i2.143.

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This article explores the opening and the free usage of stored public sector data, supplied by state. In the age of Open Government and Open Data it’s not enough just to put data online. It should be rather weighed out whether, how and which supplied public sector data can be published. Open Data are defined as stored data which could be made accessible in a public interest without any restrictions for usage and distribution. These Open Data can possibly be statistics, geo data, maps, plans, environmental data and weather data in addition to materials of the parliaments, ministries and authorities. The preparation and the free access to existing data permit varied approaches to the reuse of data, discussed in the article. In addition, impulses can be given for Open Government – the opening of state and administration, to more transparency, participation and collaboration as well as to innovation and business development. The Open Data movement tries to get to the bottom of current publication processes in the public sector which could be formed even more friendly to citizens and enterprises.

7

Bruch, F., T. Bartoschek, M. Pesch, A. Schwering und I. Buchem. „MOTIVATING ENVIRONMENTAL CITIZEN SCIENTISTS AND OPEN DATA ACQUISITION ON OPENSENSEMAP WITH OPEN BADGES“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W7-2023 (22.06.2023): 11–17. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w7-2023-11-2023.

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Abstract. Citizen science projects making the public part of scientific research are a growing trend and often have a strong geospatial focus with mapping and observation activities on biodiversity or environmental topics. To keep participants engaged, gamification is often used, adding elements of competition and rewards. Digital badges are a common gamification component that can increase participant motivation. Open Badges, an open standard for digital micro-credentials, can be used in citizen science projects to incentivize participants and showcase their achievements. They can also be adapted to open education, where learners can build a portfolio of evidence to demonstrate their achievements and credentials. Open Badges can enhance the learning experience and increase motivation, leading to improved educational outcomes. The use of Open Badges in citizen science and open education aligns with the spirit of collaboration and transparency in science and technology. In this paper we propose a solution linking the openSenseMap, as an open environmental citizen science platform, to myBadges, an Open Badges infrastructure, to allow an automatic issuing of badges for achievements made. A short study reveals first impressions of the proposed solution, its motivational aspects to contribute and improve open data on the platform, and the potential for future work.

8

Baker, Ed. „Open source data logger for low-cost environmental monitoring“. Biodiversity Data Journal 2 (11.02.2014): e1059. http://dx.doi.org/10.3897/bdj.2.e1059.

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9

Witjes, Martijn, Leandro Parente, Josip Križan, Tomislav Hengl und Luka Antonić. „Ecodatacube.eu: analysis-ready open environmental data cube for Europe“. PeerJ 11 (06.06.2023): e15478. http://dx.doi.org/10.7717/peerj.15478.

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The article describes the production steps and accuracy assessment of an analysis-ready, open-access European data cube consisting of 2000–2020+ Landsat data, 2017–2021+ Sentinel-2 data and a 30 m resolution digital terrain model (DTM). The main purpose of the data cube is to make annual continental-scale spatiotemporal machine learning tasks accessible to a wider user base by providing a spatially and temporally consistent multidimensional feature space. This has required systematic spatiotemporal harmonization, efficient compression, and imputation of missing values. Sentinel-2 and Landsat reflectance values were aggregated into four quarterly averages approximating the four seasons common in Europe (winter, spring, summer and autumn), as well as the 25th and 75th percentile, in order to retain intra-seasonal variance. Remaining missing data in the Landsat time-series was imputed with a temporal moving window median (TMWM) approach. An accuracy assessment shows TMWM performs relatively better in Southern Europe and lower in mountainous regions such as the Scandinavian Mountains, the Alps, and the Pyrenees. We quantify the usability of the different component data sets for spatiotemporal machine learning tasks with a series of land cover classification experiments, which show that models utilizing the full feature space (30 m DTM, 30 m Landsat, 30 m and 10 m Sentinel-2) yield the highest land cover classification accuracy, with different data sets improving the results for different land cover classes. The data sets presented in the article are part of the EcoDataCube platform, which also hosts open vegetation, soil, and land use/land cover (LULC) maps created. All data sets are available under CC-BY license as Cloud-Optimized GeoTIFFs (ca. 12 TB in size) through SpatioTemporal Asset Catalog (STAC) and the EcoDataCube data portal.

10

Lausch, Angela, Andreas Schmidt und Lutz Tischendorf. „Data mining and linked open data – New perspectives for data analysis in environmental research“. Ecological Modelling 295 (Januar 2015): 5–17. http://dx.doi.org/10.1016/j.ecolmodel.2014.09.018.

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11

Roche, Dominique G., Monica Granados, Claire C. Austin, Scott Wilson, Gregory M. Mitchell, Paul A. Smith, Steven J. Cooke und Joseph R. Bennett. „Open government data and environmental science: a federal Canadian perspective“. FACETS 5, Nr. 1 (01.01.2020): 942–62. http://dx.doi.org/10.1139/facets-2020-0008.

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Governments worldwide are releasing data into the public domain via open government data initiatives. Many such data sets are directly relevant to environmental science and complement data collected by academic researchers to address complex and challenging environmental problems. The Government of Canada is a leader in open data among Organisation for Economic Co-operation and Development countries, generating and releasing troves of valuable research data. However, achieving comprehensive and FAIR (findable, accessible, interoperable, reusable) open government data is not without its challenges. For example, identifying and understanding Canada’s international commitments, policies, and guidelines on open data can be daunting. Similarly, open data sets within the Government of Canada are spread across a diversity of repositories and portals, which may hinder their discoverability. We describe Canada’s federal initiatives promoting open government data, and outline where data sets of relevance to environmental science can be found. We summarize research data management challenges identified by the Government of Canada, plans to modernize the approach to open data for environmental science and best practices for data discoverability, access, and reuse.

12

Schindler, F., S. Pari, S. Meissl, G. Smith, E. Dobrowolska und A. Anghelea. „OPEN SCIENCE DATA CATALOGUE“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13.12.2023): 997–1003. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-997-2023.

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Abstract. Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community-contributed science and technology. The FAIR principles provide essential support to implementing Open Science, by offering guidelines for how researchers can adapt their EO and Earth Science practice to enable that their work (taking place increasingly in the cloud) and results are discovered, accessed, used, and reproduced by others. The Open Science Data Catalogue (OSC) (https://opensciencedata.esa.int) is an ESA Open Science activity aiming to enhance the discoverability and use of the various scientific and value-added results (i.e. data, code, documentation) achieved in Earth System Science research activities funded by ESA EO. The OSC provides open access for the scientific community to geoscience products (based on EO data from ESA and non-ESA missions and other geospatial information and models) across the whole spectrum of Earth Science domains. The OSC adheres to FAIR principles and promotes reproducibility of scientific studies. The OSC makes use of various Open-Source geospatial technologies such as pycsw, PySTAC, and OpenLayers and tries to contribute back to these projects in terms of software and standardisation. This paper reviews the EO OSC architecture, technology stack, and illustrates how this tool can be used to discover and publish Earth System Science products from ESA activities. It also looks at future evolutions of the product and how it contributes to ESA’s EO Open Science and Innovation goals.

13

Lim, Theodore C. „Patterns in environmental priorities revealed through government open data portals“. Telematics and Informatics 64 (November 2021): 101678. http://dx.doi.org/10.1016/j.tele.2021.101678.

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14

Nunes, Paulo, João Vicente, Ana Leonor Veiga, Cristina Monteiro, Telmo Dias, Carla Palma und Miguel Neto. „Hydrographic open data for society“. REVISTA INTERNACIONAL MAPPING 32, Nr. 211 (12.05.2023): 34–48. http://dx.doi.org/10.59192/mapping.393.

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Hydrography is defined as: “The branch of applied sciences which deals with the measurement and description of the physical features of oceans, seas, coastal areas, lakes and rivers, as well as with the prediction of their change over time, for the primary purpose of safety of navigation and in support of all other marine activities, including economic development, security and defence, scientific research, and environmental protection” (Publication S-32). Due to their broad concept hydrographic data and information provide the foundational bases for marine space management, fisheries, coastal environment, policy decisions, shipping, energy and oil industry, etc. Portuguese Hydrographic Institute (IH) manages geospatial datasets from several scientific and technical domains. Data management has been on daily agenda and always has an internal priority. Facing the digital transformation tsunami and rapid evolution of society data requirements is the main driven for developing an internal sustainable open data strategy aligned with findable, accessible, interoperable and reusable (FAIR) principles and as open as possible. The European Open Data and Open Science strategies combined with the need to fill the ocean knowledge gaps are changing the way how data producers deal with geospatial information. This article presents several IH projects to increase sharing and reuse of hydrographic data by society.

15

Gessa, Ana, und Pilar Sancha. „Environmental Open Data in Urban Platforms: An Approach to the Big Data Life Cycle“. Journal of Urban Technology 27, Nr. 1 (26.09.2019): 27–45. http://dx.doi.org/10.1080/10630732.2019.1656934.

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16

Hristopulos, D. T., B. Spagnolo und D. Valenti. „Open challenges in environmental data analysis and ecological complex systems (a)“. EPL (Europhysics Letters) 132, Nr. 6 (01.12.2020): 68001. http://dx.doi.org/10.1209/0295-5075/132/68001.

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17

Gil, José, Laura Díaz, Carlos Granell und Joaquín Huerta. „Open Source Based Deployment of Environmental Data into Geospatial Information Infrastructures“. International Journal of Applied Geospatial Research 3, Nr. 2 (April 2012): 6–23. http://dx.doi.org/10.4018/jagr.2012040102.

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Today, scientists use local and closed geospatial solutions to run their models and store their results. This may limit their ability to share their models, and results with other interested colleagues. This scenario is changing with the advent of new factors such as the rapid growth and rise of open source projects, or new paradigms promoted by government organizations to manage environmental data, such as Infrastructure for Spatial Information in the European Community (INSPIRE) directive, or the massive use of Web 2.0 techniques where users are looking for applications with a high degree of collaboration, interactiveness, and multimedia effects. Many authors address the versatility of Spatial Data Infrastructures where resources are shared and accessed via standard service according to complex specifications. In this context, the authors point out the need to merge the traditional building and maintenance of these infrastructures, driven by official providers, with these more participative methodologies where users can participate in creating and integrating information. It seems necessary to develop new geospatial tools which integrate these new trends. This paper proposes a unified solution offering to the scientific field an open development framework, based on standards and philosophies focused on new technologies and scientific needs.

18

Pafi, Maria, Christos Chalkias und Demetris Stathakis. „A cost-effective method for tranquility mapping using open environmental data“. Environment and Planning B: Urban Analytics and City Science 47, Nr. 3 (06.06.2018): 417–36. http://dx.doi.org/10.1177/2399808318779084.

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In this study, we propose a cost-effective method for tranquillity mapping using multi-criteria analysis and open geospatial data. We apply this method in an extended zone around a major Greek highway trespassing areas of high natural value. Composite criteria are developed through analytic functions and geostatistical methods to reflect either barriers or enablers of tranquillity. The results indicate that it is possible to identify tranquility zones which are spatially plausible. To verify the validity of the results, we calculate the Kappa coefficient (0.71) and the overall accuracy (80%) using preference data obtained from non-specialized photo-interpreters in a sample of places on Google Earth. We believe that this method can inform planning, especially in countries with a weak landscape policy.

19

Zhiyenbayev, M. M., A. G. Ospan und M. E. Mansurova. „ETL process for water resources and demographics data: an open source data processing tools and visualizations“. Bulletin of the National Engineering Academy of the Republic of Kazakhstan 88, Nr. 2 (30.06.2023): 38–48. http://dx.doi.org/10.47533/2023.1606-146x.4.

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Open data portals have become increasingly popular in recent years as more and more governments, organizations, and businesses recognize the benefits of making data publicly available for researchers, analysts and decision-making platforms. Many governments have launched their portal at the national, regional, and local levels. In addition to traditional government datasets such as demographics, finance, and transportation, open data portals are increasingly providing access to a broader range of data types, including environmental data, health data, and social media data. Many open data portals are offering improved tools for data analysis and visualization, making it easier for users to extract insights from the data. Increased collaboration and engagement between government, businesses, and the public, with features such as forums and hackathons. The purpose of this research is to find a way to automate data collecting and visualization processes by using different open source technologies and promoting Open Data Portal by using environmental data, especially water resources and pollution data from the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, Bureau of National Statistics.

20

Martin, Erika G., und Grace M. Begany. „Transforming Government Health Data Into All-Star Open Data“. Journal of Public Health Management and Practice 24, Nr. 6 (2018): E23—E25. http://dx.doi.org/10.1097/phh.0000000000000799.

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21

Giazzi, Marco, Gianandrea Peressutti, Luca Cerri, Matteo Fumi, Isabella Francesca Riva, Andrea Chini, Gianluca Ferrari et al. „Meteonetwork: An Open Crowdsourced Weather Data System“. Atmosphere 13, Nr. 6 (07.06.2022): 928. http://dx.doi.org/10.3390/atmos13060928.

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Citizen science has shown great potential for bringing large groups of people closer to science, thanks in part to cooperation with universities and research centers. In this context, amateur weather networks played a major role in the last few decades thanks to a constant growth in technology. An example is given by the Meteonetwork association, born in 2002, and mainly composed by atmospheric science enthusiasts, who built up in time a huge weather station network in Italy. In recent years, they have enlarged their horizons over Europe, displaying real time observations and daily maps coming from both personal weather stations and official networks. This study described how Meteonetwork has set up an open crowdsourced weather data system, how data are validated, and which products are generated and freely accessible for scientists and stakeholders for their own purposes. Two concrete use cases were described as examples: the Weatherness Project, which selects a subnet of Meteonetwork data for biometeorological and health purposes and the data assimilation process implemented to improve the initial conditions into the WRF meteorological model for daily weather forecasts.

22

Kim und Eom. „The Managerial Dimension of Open Data Success: Focusing on the Open Data Initiatives in Korean Local Governments“. Sustainability 11, Nr. 23 (28.11.2019): 6758. http://dx.doi.org/10.3390/su11236758.

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Open government data (open data) initiatives have been at the forefront of the strategy to make more transparent, responsive, and accountable government, and thereby lead to open innovation across the public and private sector. Governments around the world often understand that open data is disclosing their data to the public as much as possible and that open data success is the result of a data and technology-related endeavor rather than the result of organizational, institutional, and environmental attributes. According to the resource-based theory, however, managerial capability to mobilize tangible and intangible resources and deploy them in adequate places or processes under the leadership of capable leaders during the information technology (IT) project is a core factor leading to organizational performance such as open data success. In this vein, this study aims to analyze managerial factors as drivers and challenges of open data success from the resource-based theory. Findings illustrate that managerial factors are the driving forces that often boost or hinder open data success when institutional, socio-economic, and demographic factors are controlled. Discussion illustrates theoretical and practical implications for the managerial factors as drivers and challenges of open data success in terms of the comparison between technological determinism and the socio-technical perspective.

23

Abdulmuttalib, Hussein. „INFORMATION EXTRACTION AND DEPENDENCY ON OPEN GOVERNMENT DATA (OGD) FOR ENVIRONMENTAL MONITORING“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (10.06.2016): 79–83. http://dx.doi.org/10.5194/isprs-archives-xli-b4-79-2016.

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Environmental monitoring practices support decision makers of different government / private institutions, besides environmentalists and planners among others. This support helps them act towards the sustainability of our environment, and also take efficient measures for protecting human beings in general, but it is difficult to explore useful information from 'OGD' and assure its quality for the purpose. On the other hand, Monitoring itself comprises detecting changes as happens, or within the mitigation period range, which means that any source of data, that is to be used for monitoring, should replicate the information related to the period of environmental monitoring, or otherwise it's considered almost useless or history. <br><br> In this paper the assessment of information extraction and structuring from Open Government Data 'OGD', that can be useful to environmental monitoring is performed, looking into availability, usefulness to environmental monitoring of a certain type, checking its repetition period and dependences. The particular assessment is being performed on a small sample selected from OGD, bearing in mind the type of the environmental change monitored, such as the increase and concentrations of built up areas, and reduction of green areas, or monitoring the change of temperature in a specific area. The World Bank mentioned in its blog that Data is open if it satisfies both conditions of, being technically open, and legally open. The use of Open Data thus, is regulated by published terms of use, or an agreement which implies some conditions without violating the above mentioned two conditions. Within the scope of the paper I wish to share the experience of using some OGD for supporting an environmental monitoring work, that is performed to mitigate the production of carbon dioxide, by regulating energy consumption, and by properly designing the test area's landscapes, thus using Geodesign tactics, meanwhile wish to add to the results achieved by many efforts to make OGD useful In General and specifically for Environmental Monitoring purposes.

24

Abdulmuttalib, Hussein. „INFORMATION EXTRACTION AND DEPENDENCY ON OPEN GOVERNMENT DATA (OGD) FOR ENVIRONMENTAL MONITORING“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (10.06.2016): 79–83. http://dx.doi.org/10.5194/isprsarchives-xli-b4-79-2016.

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Environmental monitoring practices support decision makers of different government / private institutions, besides environmentalists and planners among others. This support helps them act towards the sustainability of our environment, and also take efficient measures for protecting human beings in general, but it is difficult to explore useful information from 'OGD' and assure its quality for the purpose. On the other hand, Monitoring itself comprises detecting changes as happens, or within the mitigation period range, which means that any source of data, that is to be used for monitoring, should replicate the information related to the period of environmental monitoring, or otherwise it's considered almost useless or history. <br><br> In this paper the assessment of information extraction and structuring from Open Government Data 'OGD', that can be useful to environmental monitoring is performed, looking into availability, usefulness to environmental monitoring of a certain type, checking its repetition period and dependences. The particular assessment is being performed on a small sample selected from OGD, bearing in mind the type of the environmental change monitored, such as the increase and concentrations of built up areas, and reduction of green areas, or monitoring the change of temperature in a specific area. The World Bank mentioned in its blog that Data is open if it satisfies both conditions of, being technically open, and legally open. The use of Open Data thus, is regulated by published terms of use, or an agreement which implies some conditions without violating the above mentioned two conditions. Within the scope of the paper I wish to share the experience of using some OGD for supporting an environmental monitoring work, that is performed to mitigate the production of carbon dioxide, by regulating energy consumption, and by properly designing the test area's landscapes, thus using Geodesign tactics, meanwhile wish to add to the results achieved by many efforts to make OGD useful In General and specifically for Environmental Monitoring purposes.

25

Miasayedava, Lizaveta, Keegan McBride und Jeffrey Andrew Tuhtan. „Automated environmental compliance monitoring of rivers with IoT and open government data“. Journal of Environmental Management 303 (Februar 2022): 114283. http://dx.doi.org/10.1016/j.jenvman.2021.114283.

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26

Albertoni, R., M. De Martino, S. Di Franco, V. De Santis und P. Plini. „EARTh: An Environmental Application Reference Thesaurus in the Linked Open Data cloud“. Semantic Web 5, Nr. 2 (2014): 165–71. http://dx.doi.org/10.3233/sw-130122.

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27

Folael, Adeleke. „Assessing the potential role of open data in South African environmental management“. South African Journal of Information and Communication, Nr. 19 (2016): 0. http://dx.doi.org/10.23962/10539/21585.

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28

Leadbetter, Adam M., Roy K. Lowry und D. Oliver Clements. „Putting meaning into NETMAR – the open service network for marine environmental data“. International Journal of Digital Earth 7, Nr. 10 (10.04.2013): 811–28. http://dx.doi.org/10.1080/17538947.2013.781243.

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29

Wickert, Andrew D., Chad T. Sandell, Bobby Schulz und Gene-Hua Crystal Ng. „Open-source Arduino-compatible data loggers designed for field research“. Hydrology and Earth System Sciences 23, Nr. 4 (24.04.2019): 2065–76. http://dx.doi.org/10.5194/hess-23-2065-2019.

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Abstract. Automated electronic data loggers revolutionized environmental monitoring by enabling reliable high-frequency measurements. However, the potential to monitor the complex environmental interactions involved in global change has not been fully realized due to the high cost and lack of modularity of commercially available data loggers. Responding to this need, we developed the ALog (Arduino logger) series of three open-source data loggers, based on the popular and easy-to-program Arduino microcontroller platform. ALog data loggers are low cost, lightweight, and low power; they function between −30 and +60 ∘C, can be powered by readily available alkaline batteries, and can store up to 32 GB of data locally. They are compatible with standard environmental sensors, and the ALog firmware library may be expanded to add additional sensor support. The ALog has measured parameters linked to weather, streamflow, and glacier melt during deployments of days to years at field sites in the USA, Canada, Argentina, and Ecuador. The result of this work is a robust and field-tested open-source data logger that is the direct descendant of dozens of individuals' contributions to the growing open-source electronics movement.

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Salas, Daniel, Xu Liang, Miguel Navarro, Yao Liang und Daniel Luna. „An open-data open-model framework for hydrological models’ integration, evaluation and application“. Environmental Modelling & Software 126 (April 2020): 104622. http://dx.doi.org/10.1016/j.envsoft.2020.104622.

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31

Krooks, A., J. Kahkonen, L. Lehto, P. Latvala, M. Karjalainen und E. Honkavaara. „WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (11.08.2014): 163–69. http://dx.doi.org/10.5194/isprsarchives-xl-3-163-2014.

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Recent developments in spatial data infrastructures have enabled real time GIS analysis and visualization using open input data sources and service interfaces. In this study we present a new concept where metric point clouds derived from national open airborne laser scanning (ALS) and photogrammetric image data are processed, analyzed, finally visualised a through open service interfaces to produce user-driven analysis products from targeted areas. The concept is demonstrated in three environmental applications: assessment of forest storm damages, assessment of volumetric changes in open pit mine and 3D city model visualization. One of the main objectives was to study the usability and requirements of national level photogrammetric imagery in these applications. The results demonstrated that user driven 3D geospatial analyses were possible with the proposed approach and current technology, for instance, the landowner could assess the amount of fallen trees within his property borders after a storm easily using any web browser. On the other hand, our study indicated that there are still many uncertainties especially due to the insufficient standardization of photogrammetric products and processes and their quality indicators.

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Sarramia, David, Alexandre Claude, Francis Ogereau, Jérémy Mezhoud und Gilles Mailhot. „CEBA: A Data Lake for Data Sharing and Environmental Monitoring“. Sensors 22, Nr. 7 (02.04.2022): 2733. http://dx.doi.org/10.3390/s22072733.

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This article presents a platform for environmental data named “Environmental Cloud for the Benefit of Agriculture” (CEBA). The CEBA should fill the gap of a regional institutional platform to share, search, store and visualize heterogeneous scientific data related to the environment and agricultural researches. One of the main features of this tool is its ease of use and the accessibility of all types of data. To answer the question of data description, a scientific consensus has been established around the qualification of data with at least the information “when” (time), “where” (geographical coordinates) and “what” (metadata). The development of an on-premise solution using the data lake concept to provide a cloud service for end-users with institutional authentication and for open data access has been completed. Compared to other platforms, CEBA fully supports the management of geographic coordinates at every stage of data management. A comprehensive JavaScript Objet Notation (JSON) architecture has been designed, among other things, to facilitate multi-stage data enrichment. Data from the wireless network are queried and accessed in near real-time, using a distributed JSON-based search engine.

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Maslov, K. A., und O. S. Tokareva. „System for automated environmental monitoring using remote sensing data of the Earth from open data sources“. IOP Conference Series: Materials Science and Engineering 1019 (21.01.2021): 012100. http://dx.doi.org/10.1088/1757-899x/1019/1/012100.

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Davies, Thomas G., Imran A. Rahman, Stephan Lautenschlager, John A. Cunningham, Robert J. Asher, Paul M. Barrett, Karl T. Bates et al. „Open data and digital morphology“. Proceedings of the Royal Society B: Biological Sciences 284, Nr. 1852 (12.04.2017): 20170194. http://dx.doi.org/10.1098/rspb.2017.0194.

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Over the past two decades, the development of methods for visualizing and analysing specimens digitally, in three and even four dimensions, has transformed the study of living and fossil organisms. However, the initial promise that the widespread application of such methods would facilitate access to the underlying digital data has not been fully achieved. The underlying datasets for many published studies are not readily or freely available, introducing a barrier to verification and reproducibility, and the reuse of data. There is no current agreement or policy on the amount and type of data that should be made available alongside studies that use, and in some cases are wholly reliant on, digital morphology. Here, we propose a set of recommendations for minimum standards and additional best practice for three-dimensional digital data publication, and review the issues around data storage, management and accessibility.

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Pereyra Irujo, Gustavo, Paz Bernaldo, Luciano Velázquez, Antoni Pérez, Celeste Molina Favero und Alejandrina Egozcue. „Open Science Drone Toolkit: Open source hardware and software for aerial data capture“. PLOS ONE 18, Nr. 4 (06.04.2023): e0284184. http://dx.doi.org/10.1371/journal.pone.0284184.

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Despite the increased access to scientific publications and data as a result of open science initiatives, access to scientific tools remains limited. Uncrewed aerial vehicles (UAVs, or drones) can be a powerful tool for research in disciplines such as agriculture and environmental sciences, but their use in research is currently dominated by proprietary, closed source tools. The objective of this work was to collect, curate, organize and test a set of open source tools for aerial data capture for research purposes. The Open Science Drone Toolkit was built through a collaborative and iterative process by more than 100 people in five countries, and comprises an open-hardware autonomous drone and off-the-shelf hardware, open-source software, and guides and protocols that enable the user to perform all the necessary tasks to obtain aerial data. Data obtained with this toolkit over a wheat field was compared to data from satellite imagery and a commercial hand-held sensor, finding a high correlation for both instruments. Our results demonstrate the possibility of capturing research-grade aerial data using affordable, accessible, and customizable open source software and hardware, and using open workflows.

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Roelandt, N., P. Aumond und L. Moisan. „CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (06.08.2022): 387–93. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-387-2022.

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Abstract. NoiseCapture is an Android application developed by the Gustave Eiffel University and the French National Centre for Scientific Research as central element of a participatory approach to environmental noise mapping. The application is open-source, and all its data are available freely. This study presents the results of the first exploratory analysis of 3 years of data collection through the lens of sound sources. This analysis is only based on the tags given by the users and not on the sound spectrum of the measurement, which will be studied at a later stage. The first results are encouraging, we were able to observe well known temporal sound source dynamics like road sounds temporal dynamic related to commuting or bird songs in the dataset. We also found correlations between wind and rain tags and their measurements by the the national meteorological service. The context of the study, the Free and Open Source Software tools and techniques used and literate programming benefits are presented.

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Knox, Stephen, James Tomlinson, Julien J. Harou, Philipp Meier, David E. Rosenberg, Jay R. Lund und David E. Rheinheimer. „An open-source data manager for network models“. Environmental Modelling & Software 122 (Dezember 2019): 104538. http://dx.doi.org/10.1016/j.envsoft.2019.104538.

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Sartor, Luke. „Open the doors to (de‐identifiable) data“. Australian Journal of Rural Health 29, Nr. 4 (August 2021): 606–7. http://dx.doi.org/10.1111/ajr.12790.

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Martin, Erika G., Nirav R. Shah und Guthrie S. Birkhead. „Unlocking the Power of Open Health Data“. Journal of Public Health Management and Practice 24, Nr. 1 (2018): 81–84. http://dx.doi.org/10.1097/phh.0000000000000561.

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Markieta, Michael. „Using OpenStreetMap Data with Open-Source GIS“. Cartographic Perspectives, Nr. 71 (04.10.2012): 91–104. http://dx.doi.org/10.14714/cp71.73.

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Guerrazzi, Emanuele, Dimitri Thomopulos, Davide Fioriti, Ivan Mariuzzo, Eva Schito, Davide Poli und Marco Raugi. „Design of Energy Communities and Data-Sharing: Format and Open Data“. Energies 16, Nr. 17 (29.08.2023): 6268. http://dx.doi.org/10.3390/en16176268.

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Governments are promoting energy community (EC) policies to encourage joint investment and the operation of shared energy assets by citizens, industries, and public authorities, with the aim of promoting economic, social, and environmental benefits. However, ECs require appropriate planning and energy management strategies, which require data that are rarely clean and well-structured. Data providers rarely adhere to a common format for data sharing, which hinders the development of ECs. As the number of ECs is expected to grow significantly, this poses significant issues for stakeholders to quickly and efficiently develop projects. To address this issue, in this paper we propose a literature-based analysis and classification to derive the major data needs for EC planning, as well as a template format for data sharing. Our literature review on ECs successfully identifies the main data required to properly describe this system and its components. Their classification further clarifies that data structures shall account for tabular-like data of various types and flexible dimentionality, or cardinality. A public release of an open dataset for a case study in Pisa, Italy is also provided, supported by realistic or real data for testing the sizing and operation of ECs. The results suggest that data standard practices are needed, and this paper can lay the foundation for their standardization for ECs to fast-forward their deployment as support policy and technical decision-making.

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Olive, Xavier, Junzi Sun, Luis Basora und Enrico Spinielli. „Environmental inefficiencies for arrival flights at European airports“. PLOS ONE 18, Nr. 6 (23.06.2023): e0287612. http://dx.doi.org/10.1371/journal.pone.0287612.

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In this paper, we analyze two months of trajectory data for aircraft landing in five major European airports. Based on open ADS-B data from the OpenSky Network and open performance models, we enrich all trajectories with automatically detected procedure information, fuel consumption, and emissions for supported aircraft types. To assess the inefficiencies associated with holding patterns, point merges, and continuous descent operations across different airports, we propose methodologies to quantify and compare these environmental inefficiencies. Holding patterns are found to have a higher negative impact on the environment than point merge and continuous descent operations. Furthermore, the paper provides recommendations for procedure evaluations of future airports, which could help policymakers and relevant stakeholders to evaluate the environmental performances of arrival procedures based on open data and open models.

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O´Flaherty, J. „Community Co-design of a Geospatial Linked Open Data Platform for Environmental Management“. Agris on-line Papers in Economics and Informatics 7, Nr. 2 (30.06.2015): 55–67. http://dx.doi.org/10.7160/aol.2015.070206.

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Fordham, Damien A., und David Nogues-Bravo. „Open-access data is uncovering past responses of biodiversity to global environmental change“. Past Global Change Magazine 26, Nr. 2 (November 2018): 77. http://dx.doi.org/10.22498/pages.26.2.77.

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Zander, Franziska, und Sven Kralisch. „River Basin Information System: Open Environmental Data Management for Research and Decision Making“. ISPRS International Journal of Geo-Information 5, Nr. 7 (18.07.2016): 123. http://dx.doi.org/10.3390/ijgi5070123.

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Fecho, Karamarie, Perry Haaland, Ashok Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Meghamala Sinha und Hao Xu. „An approach for open multivariate analysis of integrated clinical and environmental exposures data“. Informatics in Medicine Unlocked 26 (2021): 100733. http://dx.doi.org/10.1016/j.imu.2021.100733.

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Leger, Damien, und Christian Guilleminault. „Environmental open-source data sets and sleep-wake rhythms of populations: an overview“. Sleep Medicine 69 (Mai 2020): 88–97. http://dx.doi.org/10.1016/j.sleep.2019.12.027.

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Zou, Kai, und Xinyue Gu. „Analyzing the environmental evolution of the Tibetan Plateau based on open-source data“. E3S Web of Conferences 369 (2023): 01002. http://dx.doi.org/10.1051/e3sconf/202336901002.

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The conflict between humanity and nature has recently gained prominence due to the ongoing development of human society and rising tensions caused by man-made conditions. Therefore, the Tibetan Plateau, known as the ecological environment’s treasure house, is now experiencing environmental degradation and losing biodiversity, which has increased its ecological vulnerability. This study quantitatively analyses the environmental evolution and driving factors of the ecological vulnerability of the Tibetan Plateau from 2005 to 2020. The three aspects chosen for evaluation factors are social economy, natural environment, and social response. The weights of the parameters that were chosen using the AHP method are then evaluated using a PSR model that is constructed. The vulnerability map for the local ecological environment is then created using the GIS model. Additionally, the GeoDetector method is used in the study to examine how the spatial-temporal differences change and the variables that influence those changes. The findings demonstrate that the interaction between vegetation cover, altitude, precipitation, and local human activities is the primary factor causing ecological vulnerability. And this study will advance ecological protection and development of the Tibetan Plateau, and make new strides in the study of topics.

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Quille, Rosa Virginia Encinas, Felipe Valencia de Almeida, Mauro Yuji Ohara, Pedro Luiz Pizzigatti Corrêa, Leandro Gomes de Freitas, Solange Nice Alves-Souza, Jorge Rady de Almeida, Maggie Davis und Giri Prakash. „Architecture of a Data Portal for Publishing and Delivering Open Data for Atmospheric Measurement“. International Journal of Environmental Research and Public Health 20, Nr. 7 (03.04.2023): 5374. http://dx.doi.org/10.3390/ijerph20075374.

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Atmospheric data are collected by researchers every day. Campaigns such as GOAmazon 2014/2015 and the Amazon Tall Tower Observatory collect essential data on aerosols, gases, cloud properties, and meteorological parameters in the Brazilian Amazon basin. These data products provide insights and essential information for analyzing and predicting natural processes. However, in Brazil, it is estimated that more than 80% of the scientific data collected are not published due to the lack of web portals that collect and store these data. This makes it difficult, or even impossible, to access and integrate the data, which can result in the loss of significant amounts of information and significantly affect the understanding of the overall data. To address this problem, we propose a data portal architecture and open data deployment that enable Big Data processing, human interaction, and download-oriented approaches with tools that help users catalog, publish and visualize atmospheric data. Thus, we describe the architecture developed, based on the experience of the Atmospheric Radiation Measurement Data Center, which incorporates the principles of FAIR, the infrastructure and content management system for managing scientific data. The portal partial results were tested with environmental data from contaminated areas at the University of São Paulo. Overall, this data portal creates more shared knowledge about atmospheric processes by providing users with access to open environmental data.

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Caccavo, Frank. „An Open-Ended, Inquiry-Based Approach to Environmental Microbiology“. American Biology Teacher 73, Nr. 9 (01.11.2011): 521–25. http://dx.doi.org/10.1525/abt.2011.73.9.4.

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An undergraduate environmental microbiology course was used to examine the hypothesis that students could best grow as biologists, inform career decisions, and experience the scientific process by engaging in a collaborative, research-based laboratory format. Students learned how to use scientific literature to formulate relevant questions and hypotheses and develop detailed experimental research proposals. They collected, analyzed, interpreted, and presented original scientific data in the form of a research-poster conference. Course objectives were measured using two Likert-style surveys, and the resulting data supported the original hypothesis of this work.