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Artykuły w czasopismach na temat "Global environmental change – remote sensing"
Brewer, T. "Remote Sensing and Global Environmental Change". Soil Use and Management 28, nr 2 (4.04.2012): 278. http://dx.doi.org/10.1111/j.1475-2743.2012.00395.x.
Pełny tekst źródłaYingshi, Zhao. "Remote Sensing for Global Environmental Change". National Remote Sensing Bulletin, nr 3 (1991): 175–83. http://dx.doi.org/10.11834/jrs.1991028.
Pełny tekst źródłaKLEMAS, VICTOR V. "Remote Sensing of Landscape-Level Coastal Environmental Indicators". Environmental Management 27, nr 1 (1.01.2001): 47–57. http://dx.doi.org/10.1007/s002670010133.
Pełny tekst źródłaZhang, Xinkai, i Jie Yin. "Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds". Transactions on Computer Science and Intelligent Systems Research 3 (10.04.2024): 110–16. http://dx.doi.org/10.62051/fpa2dm58.
Pełny tekst źródłaBalzter, Heiko. "Remote sensing and global environmental change, by Samuel Purkis and Victor Klemas". International Journal of Geographical Information Science 27, nr 8 (18.04.2013): 1688–89. http://dx.doi.org/10.1080/13658816.2013.780608.
Pełny tekst źródłaLee, Jae K., J. C. Randolph, Kamlesh P. Lulla i Michael R. Helfert. "Interfacing remote sensing and geographic information systems for global environmental change research". Geocarto International 8, nr 4 (grudzień 1993): 7–18. http://dx.doi.org/10.1080/10106049309354426.
Pełny tekst źródłaGaulton, Rachel. "Remote sensing and global environmental change, by S. Purkis and V. Klemas". International Journal of Remote Sensing 34, nr 2 (18.09.2012): 751–52. http://dx.doi.org/10.1080/01431161.2012.714921.
Pełny tekst źródłaZhang, Hengpan, i Jiahua Li. "Application and progress of water colour remote sensing technology in monitoring chlorophyll concentration changes in seawater". Transactions on Computer Science and Intelligent Systems Research 3 (10.04.2024): 102–9. http://dx.doi.org/10.62051/vag1mq54.
Pełny tekst źródłaSun, Qiong, Chi Zhang, Min Liu i Yongjing Zhang. "Land use and land cover change based on historical space–time model". Solid Earth 7, nr 5 (27.09.2016): 1395–403. http://dx.doi.org/10.5194/se-7-1395-2016.
Pełny tekst źródłaPettorelli, Nathalie, Kamran Safi i Woody Turner. "Satellite remote sensing, biodiversity research and conservation of the future". Philosophical Transactions of the Royal Society B: Biological Sciences 369, nr 1643 (26.05.2014): 20130190. http://dx.doi.org/10.1098/rstb.2013.0190.
Pełny tekst źródłaRozprawy doktorskie na temat "Global environmental change – remote sensing"
Miles, Luke G. "Global Digital Elevation Model Accuracy Assessment in the Himalaya, Nepal". TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1313.
Pełny tekst źródłaDeer, Peter. "Change detection in remote sensing using supervised fuzzy classification". Title page, abstract and contents only, 1999. http://hdl.handle.net/2440/19340.
Pełny tekst źródłaThesis (Ph.D.)--University of Adelaide, Dept. of Geography and Dept. of Computer Science, 1999
Ayanlade, Ayansina. "Remote sensing of environmental change in the Niger Delta, Nigeria". Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/remote-sensing-of-environmental-change-in-the-niger-delta-nigeria(b649a1f9-8c35-45d5-94ab-3107e4c3b0aa).html.
Pełny tekst źródłaWright, Graeme L. "Multiscale remote sensing for assessment of environmental change in the rural-urban fringe". Thesis, Curtin University, 2000. http://hdl.handle.net/20.500.11937/1110.
Pełny tekst źródłaWright, Graeme L. "Multiscale remote sensing for assessment of environmental change in the rural-urban fringe". Curtin University of Technology, School of Spatial Sciences, 2000. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=10384.
Pełny tekst źródłaKappa statistic and its variance were used to determine the optimum classification approach for each dataset and at each level of detail. No significant differences were observed between classification techniques at Level I, however at Level II the supervised classification approach produced significantly better results for the Landsat TM and SPOT HRV data. Classification at the more general Level I did not produce substantially higher classification rates compared to the same data at Level II. Additionally, higher spatial resolution data did not provide increased accuracy, however this was due mainly to a much greater complexity of land covers present at the time the higher resolution Landsat TM and SPOT HRV data were recorded.Land cover changes were assessed separately at Level I for all datasets, and also between Landsat TM and SPOT HRV data at Level II. Integrated multiscale assessment of land cover change was undertaken using classified Landsat MSS data at Level I and Landsat TM data at Level 11. This enabled the continuity of change to be established across classification levels and sensor systems, even though there were variations in the level of detail extracted from each image.The sources of spatial and thematic errors in the data were investigated and their effects on change assessment analysed. The evaluation of high resolution panchromatic satellite data emphasised the contribution to the analysis of spatial errors contained within the reference data. The multiscale data also indicated that combined propagation of spatial and thematic errors requires investigation using appropriate simulation modelling to establish the influence of data uncertainty on classification and change assessment results.This research provides useful results for demonstrating a process for the integration of information derived from remotely sensed data at different measurement ++
scales. Availability of data from an increasing range of remote sensing platforms and uncertainty of long term data availability emphasises the need to develop flexible interpretation and analysis approaches. This research adds value to the existing data archive by demonstrating how historical data may be integrated regardless of the spectral and spatial characteristics of the sensors.
Ly, Jennifer K. "Coastal change analysis of Lovells Island using high resolution ground based LiDAR imagery". Thesis, University of Massachusetts Boston, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1566549.
Pełny tekst źródłaMany methods have been employed to study coastline change. These methods range from historical map analysis to GPS surveys to modern airborne LiDAR and satellite imagery. These previously used methods can be time consuming, labor intensive, and expensive and have varying degrees of accuracy and temporal coverage. Additionally, it is often difficult to apply such techniques in direct response to an isolated event within an appropriate temporal framework. Here we utilize a new ground based Canopy Biomass LiDAR (CBL) system built at The University of Massachusetts Boston (in collaboration with the Rochester Institute of Technology) in order to identify and analyze coastal change on Lovells Island, Boston Harbor. Surveys of a bluff developing in an eroding drumlin and beach cusps on a high-energy cobble beach on Lovells Island were conducted in June, September and December of 2013. At each site for each survey, the CBL was set up and multiple scans of each feature were taken on a predetermined transect that was established parallel to the high-water mark at distances relative to the scale of the bluff and cusps. The scans from each feature were compiled, integrated and visualized using Meshlab. Results from our surveys indicate that the highly portable and easy to deploy CBL system produces images of exceptional clarity, with the capacity to resolve small-scale changes to coastal features and systems. The CBL, while still under development (and coastal surveying protocols with it are just being established), appears to be an ideal tool for analyzing coastal geological features and is anticipated to prove to be a useful tool for the observation and analysis of coastal change. Furthermore, there is significant potential for utilizing the low cost ultra-portable CBL in frequent deployments to develop small-scale erosion rate and sediment budget analyses.
Rufin, Philippe. "A global to regional scale assessment of dam-induced agricultural change by means of remote sensing". Doctoral thesis, Humboldt-Universität zu Berlin, 2019. http://dx.doi.org/10.18452/20125.
Pełny tekst źródłaA growing world population, and increasing demands for food, feed, fuel and fiber, substantially add pressure on the global land system. The construction of dams is a common strategy for boosting production outputs through irrigation. Reservoirs represent the most important source of irrigation water globally, but their effects on agricultural land systems are only poorly understood. Remote sensing emerges as a key tool for enabling spatially explicit assessments of dam-induced land system change due to its ability to provide spatially detailed, frequent, and synoptic observations of the land surface. The overall goal of this thesis was to assess the effects of irrigation dams on agricultural land systems on a global and regional scale, by making use of state-of-the art remote sensing data products and methods. A synthesis of the current scientific literature offered primary insights into dam-induced changes in agricultural systems, and raised the hypothesis that irrigation dams caused overall increases in agricultural land use intensity. On a global scale, satellite-based measurements of cropping frequency derived from MODIS-based map products attested to this finding, albeit a strong regional variability was apparent. Landsat-based time series methods were used on a national to regional scale, which further revealed strong spatio-temporal dynamics of irrigated agriculture. The results of this thesis add knowledge and spatially explicit insights on the effects of dams on agricultural land systems. The work further emphasizes the important role of remote sensing technologies in exploring future pathways of agricultural intensification.
Shipigina, Ekaterina. "Remote sensing methods for environmental monitoring of human impact on sub-Arctic ecosystems in Europe". Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/268066.
Pełny tekst źródłaZhu, Kefeng. "Application of Satellite Remote Sensing on Mountain Glacier and Coastal Zone Classification And Monitoring in South Asia". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437652636.
Pełny tekst źródłaValdez-Zamudio, Diego 1953. "Land cover and land use change detection in northwestern Sonora, Mexico using geographic information system and remote sensing techniques". Thesis, The University of Arizona, 1994. http://hdl.handle.net/10150/278469.
Pełny tekst źródłaKsiążki na temat "Global environmental change – remote sensing"
V, Klemas, red. Remote sensing and global environmental change. Chichester, West Sussex, UK: Wiley-Blackwell, 2011.
Znajdź pełny tekst źródłaPurkis, Samuel, i Victor Klemas. Remote Sensing and Global Environmental Change. West Sussex, UK: John Wiley & Sons Ltd, 2011. http://dx.doi.org/10.1002/9781118687659.
Pełny tekst źródłaKondratʹev, K. I͡A. Global change and remote sensing. Chichester: Wiley, 1996.
Znajdź pełny tekst źródłaA, Buznikov A., i Pokrovskiĭ O. M, red. Global change and remote sensing. Chichester: Wiley, 1996.
Znajdź pełny tekst źródłaRamachandran, Bhaskar, Christopher O. Justice i Michael J. Abrams, red. Land Remote Sensing and Global Environmental Change. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6749-7.
Pełny tekst źródłaAlfredo, Huete, red. Fundamentals of satellite remote sensing. Boca Raton, FL: Taylor & Francis, 2010.
Znajdź pełny tekst źródłaChuvieco, Emilio. Fundamentals of satellite remote sensing. Boca Raton: Taylor & Francis, 2009.
Znajdź pełny tekst źródłaChuvieco, Emilio. Fundamentals of satellite remote sensing. Boca Raton, FL: Taylor & Francis, 2010.
Znajdź pełny tekst źródła1955-, Singh Ram Babu, i International Seminar on "Monitoring Geosystems-Perspectives for the 21st Century" (1991 : University of Delhi), red. Global environmental change: Perspectives of remote sensing and geographic information system. New Delhi: Oxford & IBH Pub. Co., 1995.
Znajdź pełny tekst źródłaEmilio, Chuvieco Salinero, red. Earth observation of global change: The role of satellite remote sensing in monitoring global environment. [New York]: Springer, 2008.
Znajdź pełny tekst źródłaCzęści książek na temat "Global environmental change – remote sensing"
Purkis, Samuel, i Victor Klemas. "Remote sensing basics". W Remote Sensing and Global Environmental Change, 6–17. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch2.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Remote sensing of urban environments". W Remote Sensing and Global Environmental Change, 91–121. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch6.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Remote sensors and systems". W Remote Sensing and Global Environmental Change, 18–39. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch3.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Monitoring changes in global vegetation cover". W Remote Sensing and Global Environmental Change, 63–90. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch5.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Effective communication of global change information using remote sensing". W Remote Sensing and Global Environmental Change, 296–302. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch13.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Introduction". W Remote Sensing and Global Environmental Change, 1–5. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch1.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Observing the oceans". W Remote Sensing and Global Environmental Change, 204–40. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch10.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Monitoring Earth's atmosphere". W Remote Sensing and Global Environmental Change, 241–71. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch11.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Observing the cryosphere". W Remote Sensing and Global Environmental Change, 272–95. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch12.
Pełny tekst źródłaPurkis, Samuel, i Victor Klemas. "Looking ahead: future developments". W Remote Sensing and Global Environmental Change, 303–15. West Sussex, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118687659.ch14.
Pełny tekst źródłaStreszczenia konferencji na temat "Global environmental change – remote sensing"
Honda, Y., H. Yamamoto, M. Hori, H. Murakami i N. Kikuchi. "The possibility of SGLI/GCOM-C for global environment change monitoring". W Remote Sensing, redaktorzy Roland Meynart, Steven P. Neeck i Haruhisa Shimoda. SPIE, 2006. http://dx.doi.org/10.1117/12.689457.
Pełny tekst źródłaVazquez, Gabriel J. "FTIR remote sensing of atmospheric species: application to global change and air pollution". W Optical Sensing for Environmental and Process Monitoring, redaktor Orman A. Simpson. SPIE, 1995. http://dx.doi.org/10.1117/12.210824.
Pełny tekst źródłaChen, Meixiang, Peidong He, Juan Li i Wei Tan. "Contribution of the steric and ocean mass change to the global sea level change since 2003". W The International Conference on Remote Sensing,Environment and Transportation Engineering. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/rsete.2013.225.
Pełny tekst źródłaHeaps, William S., i Paul D. Guthrie. "A Balloon Borne Ozone Profiler with Variable Footprint". W Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wd14.
Pełny tekst źródłaDiner, David J. "Atmospheric Remote Sensing with the Eos Multi-angle Imaging SpectroRadiometer". W Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.md5.
Pełny tekst źródłaHilsenrath, Ernest. "Calibration of Long Term Satellite Ozone Data Sets Using the Space Shuttle". W Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wa6.
Pełny tekst źródłaCurran, Robert J. "Satellite Remote Sensing for Earth System Science: NASA's Earth Observing System (Eos)". W Laser and Optical Remote Sensing: Instrumentation and Techniques. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.tua1.
Pełny tekst źródłaOlivella González, Rosa, Carla Garcia Lozano, Laura Olivas Corominas i Josep Sitjar Suñer. "Monitoring natural phenomena from the classroom with Edusat. Proposal for a teaching guide (and support material)". W Symposium on Space Educational Activities (SSAE). Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788419184405.020.
Pełny tekst źródłaWilson, Greg S., Dixon Butler i Gregory Wilson. "The Earth Observing System (EOS): Centerpiece of NASA’s Mission-to-Planet Earth Initiative". W Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/clr.1987.thc1.
Pełny tekst źródłaShimoda, Haruhisa. "GCOM: Global Change Observation Mission". W Remote Sensing, redaktorzy Hiroyuki Fujisada i Joan B. Lurie. SPIE, 1999. http://dx.doi.org/10.1117/12.373199.
Pełny tekst źródłaRaporty organizacyjne na temat "Global environmental change – remote sensing"
Ryerson, R. A., i J. Cihlar. Remote Sensing Techniques Monitor Global Change. Natural Resources Canada/CMSS/Information Management, 1990. http://dx.doi.org/10.4095/217656.
Pełny tekst źródłaGrossman, Denny, Paul Hugo Suding, Alejandro Coca, Carolina Navarrete, Alberto Villalba, Karolina Argote, Andy Jarvis i Louis Reymondin. Road Impact Assessment Using Remote Sensing Methodology for Monitoring Land-Use Change in Latin America: Results of Five Case Studies. Inter-American Development Bank, lipiec 2013. http://dx.doi.org/10.18235/0009124.
Pełny tekst źródłaRon, Eliora, i Eugene Eugene Nester. Global functional genomics of plant cell transformation by agrobacterium. United States Department of Agriculture, marzec 2009. http://dx.doi.org/10.32747/2009.7695860.bard.
Pełny tekst źródłaDouglas, Thomas, M. Jorgenson, Hélène Genet, Bruce Marcot i Patricia Nelsen. Interior Alaska DoD training land wildlife habitat vulnerability to permafrost thaw, an altered fire regime, and hydrologic changes. Engineer Research and Development Center (U.S.), luty 2022. http://dx.doi.org/10.21079/11681/43146.
Pełny tekst źródłaHodul, M., H. P. White i A. Knudby. A report on water quality monitoring in Quesnel Lake, British Columbia, subsequent to the Mount Polley tailings dam spill, using optical satellite imagery. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330556.
Pełny tekst źródłaLasko, Kristofer, i Elena Sava. Semi-automated land cover mapping using an ensemble of support vector machines with moderate resolution imagery integrated into a custom decision support tool. Engineer Research and Development Center (U.S.), listopad 2021. http://dx.doi.org/10.21079/11681/42402.
Pełny tekst źródłaHuntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph i P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.
Pełny tekst źródłaAnderson, Donald M., Lorraine C. Backer, Keith Bouma-Gregson, Holly A. Bowers, V. Monica Bricelj, Lesley D’Anglada, Jonathan Deeds i in. Harmful Algal Research & Response: A National Environmental Science Strategy (HARRNESS), 2024-2034. Woods Hole Oceanographic Institution, lipiec 2024. http://dx.doi.org/10.1575/1912/69773.
Pełny tekst źródłaEparkhina, Dina. EuroSea Legacy Report. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d8.12.
Pełny tekst źródłaSett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, Saut Sagala, Teresa Arce Mojica, Preeti Koirala, Patrick Sanady i in. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, marzec 2022. http://dx.doi.org/10.53324/wnsg2302.
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