Remote Sensing of Watershed
This reprint focuses on applying remote sensing techniques in watersheds in terms of hydrology, ecology, environment, and human activities. It aims to contribute to the current understanding of integrating research scopes and developing advanced methods in the field of remote sensing of watershed. T...
Salvato in:
| Natura: | Online |
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| Lingua: | inglese |
| Pubblicazione: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Accesso online: | ONIX_20230808_9783036581309_51 |
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| _version_ | 1869523534712143872 |
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| collection | Directory of Open Access Books |
| description | This reprint focuses on applying remote sensing techniques in watersheds in terms of hydrology, ecology, environment, and human activities. It aims to contribute to the current understanding of integrating research scopes and developing advanced methods in the field of remote sensing of watershed. The development of the multiscalar, multidimensional, and interdisciplinary nature of the application of remote sensing in watershed studies is of particular interest. Special attention is given to watershed mapping, monitoring of underlying surface elements in the watershed, inversion of water cycle parameters, water resource assessment, acquisition of watershed ecological environment parameters, monitoring natural disasters, analyzing upstream and downstream, supporting water governance priorities, water resource development, and irrigation water management. The studies propose a series of advanced data, models, and strategies to serve watershed research better. |
| format | Online |
| id | doab-20.500.12854ir-112483 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1124832024-04-11T15:11:05Z Remote Sensing of Watershed Wang, Jingzhe Hu, Zhongwen Wu, Yangyi Zhang, Jie multi-source remote sensing aquaculture mapping texture feature Google Earth Engine Pearl River Basin land surface temperature VIC model wavelet analysis multiscale analysis LUCC MODIS NDVI vegetation cover trend analysis Sen + Mann-Kendall topography GWR Qinghai-Tibet Plateau maize yield evapotranspiration plastic film mulching G-AquaCrop model Heihe River basin paddy rice SEBAL interannual variation spatial distribution Ganfu Plain irrigation system vegetation browning warming hiatus vapor pressure deficit spring autumn Xinjiang Qijia culture (QJC) spatial diffusion patterns cultural hearth circle structure dryland SIF EVI TROPOMI extreme drought phenology NATT China drought SPEI VPD vegetation GPP water level recognition hydrological monitoring deep learning computer vision alpine wetland water retention service models Qinghai–Tibetan Plateau carbon dioxide emissions global climate change human footprint index human pressures macro control Ebinur Lake spatio-temporal fusion model Sentinel-2 images reconstruction suspended particulate matter (SPM) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology This reprint focuses on applying remote sensing techniques in watersheds in terms of hydrology, ecology, environment, and human activities. It aims to contribute to the current understanding of integrating research scopes and developing advanced methods in the field of remote sensing of watershed. The development of the multiscalar, multidimensional, and interdisciplinary nature of the application of remote sensing in watershed studies is of particular interest. Special attention is given to watershed mapping, monitoring of underlying surface elements in the watershed, inversion of water cycle parameters, water resource assessment, acquisition of watershed ecological environment parameters, monitoring natural disasters, analyzing upstream and downstream, supporting water governance priorities, water resource development, and irrigation water management. The studies propose a series of advanced data, models, and strategies to serve watershed research better. 2023-08-08T15:14:41Z 2023-08-08T15:14:41Z 2023 book ONIX_20230808_9783036581309_51 9783036581309 9783036581316 https://directory.doabooks.org/handle/20.500.12854/112483 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7598 https://mdpi.com/books/pdfview/book/7598 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8131-6 10.3390/books978-3-0365-8131-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036581309 9783036581316 288 Basel open access |
| spellingShingle | multi-source remote sensing aquaculture mapping texture feature Google Earth Engine Pearl River Basin land surface temperature VIC model wavelet analysis multiscale analysis LUCC MODIS NDVI vegetation cover trend analysis Sen + Mann-Kendall topography GWR Qinghai-Tibet Plateau maize yield evapotranspiration plastic film mulching G-AquaCrop model Heihe River basin paddy rice SEBAL interannual variation spatial distribution Ganfu Plain irrigation system vegetation browning warming hiatus vapor pressure deficit spring autumn Xinjiang Qijia culture (QJC) spatial diffusion patterns cultural hearth circle structure dryland SIF EVI TROPOMI extreme drought phenology NATT China drought SPEI VPD vegetation GPP water level recognition hydrological monitoring deep learning computer vision alpine wetland water retention service models Qinghai–Tibetan Plateau carbon dioxide emissions global climate change human footprint index human pressures macro control Ebinur Lake spatio-temporal fusion model Sentinel-2 images reconstruction suspended particulate matter (SPM) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Remote Sensing of Watershed |
| title | Remote Sensing of Watershed |
| title_full | Remote Sensing of Watershed |
| title_fullStr | Remote Sensing of Watershed |
| title_full_unstemmed | Remote Sensing of Watershed |
| title_short | Remote Sensing of Watershed |
| title_sort | remote sensing of watershed |
| topic | multi-source remote sensing aquaculture mapping texture feature Google Earth Engine Pearl River Basin land surface temperature VIC model wavelet analysis multiscale analysis LUCC MODIS NDVI vegetation cover trend analysis Sen + Mann-Kendall topography GWR Qinghai-Tibet Plateau maize yield evapotranspiration plastic film mulching G-AquaCrop model Heihe River basin paddy rice SEBAL interannual variation spatial distribution Ganfu Plain irrigation system vegetation browning warming hiatus vapor pressure deficit spring autumn Xinjiang Qijia culture (QJC) spatial diffusion patterns cultural hearth circle structure dryland SIF EVI TROPOMI extreme drought phenology NATT China drought SPEI VPD vegetation GPP water level recognition hydrological monitoring deep learning computer vision alpine wetland water retention service models Qinghai–Tibetan Plateau carbon dioxide emissions global climate change human footprint index human pressures macro control Ebinur Lake spatio-temporal fusion model Sentinel-2 images reconstruction suspended particulate matter (SPM) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | multi-source remote sensing aquaculture mapping texture feature Google Earth Engine Pearl River Basin land surface temperature VIC model wavelet analysis multiscale analysis LUCC MODIS NDVI vegetation cover trend analysis Sen + Mann-Kendall topography GWR Qinghai-Tibet Plateau maize yield evapotranspiration plastic film mulching G-AquaCrop model Heihe River basin paddy rice SEBAL interannual variation spatial distribution Ganfu Plain irrigation system vegetation browning warming hiatus vapor pressure deficit spring autumn Xinjiang Qijia culture (QJC) spatial diffusion patterns cultural hearth circle structure dryland SIF EVI TROPOMI extreme drought phenology NATT China drought SPEI VPD vegetation GPP water level recognition hydrological monitoring deep learning computer vision alpine wetland water retention service models Qinghai–Tibetan Plateau carbon dioxide emissions global climate change human footprint index human pressures macro control Ebinur Lake spatio-temporal fusion model Sentinel-2 images reconstruction suspended particulate matter (SPM) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | ONIX_20230808_9783036581309_51 |