Remote Sensing in Hydrology and Water Resources Management
Duan, Weili
Remote Sensing in Hydrology and Water Resources Management - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (487 p.)
Open Access
Water resources are the most valuable resources of sustainable socio-economic development, which is significantly affected by climate change and human activities. Water resources assessment is an urgent need for implementation of the perfect water resources management, but it is difficult to accurately evaluate the quantity and quality of water resources, especially in arid regions and high-altitude regions with sparse gauged data. This book hosts 24 papers devoted to remote sensing in hydrology and water resources management, which summarizes the recent advancement in remote sensing technology for hydrology analysis such as satellite remote sensing for water resources management, water quality monitoring and evaluation using remote sensing data, remote sensing for detecting the global impact of climate extremes, the use of remote sensing data for improved calibration of hydrological models, and so on. In general, the book will contribute to promote the application of remote sensing technology in water resources.
Creative Commons
English
books978-3-0365-2700-0 9783036527017 9783036527000
10.3390/books978-3-0365-2700-0 doi
Research & information: general
precipitation datasets evaluation spatial scale temporal scale climate Yellow River Basin data assimilation WRF WRFDA 3DVar water levels surface areas volume variations hypsometry bathymetry lakes reservoirs remote sensing DAHITI modified strahler approach airborne LiDAR DEM flood inundation flood map flood model LiDAR terrestrial LiDAR evapotranspiration variability uncertainty unmanned aerial system sUAS multispectral viticulture water resources management California lake Tibetan Plateau hydrological changes water balance Chindwin basin hydrological modelling multi-variable calibration satellite-based rainfall product TRMM temporal resolution rainfall erosivity combined approach multi-objective optimization modeling uncertainty model constraint SWAT semiarid area hydrological variations normalized difference vegetation index total water storage change groundwater change extreme precipitation estimation TMPA 3B42-V7 regional frequency analysis China satellite datasets accuracy evaluation hydrological applicability Bosten Lake Basin actual evapotranspiration available water resources climate change vegetation greening VIP-RS model Lancang-Mekong river basin MSWEP AgMERRA APHRODITE CHIRPS PERSIANN error correction agricultural water management crop water consumption remote sensing model evapotranspiration allocation inland water IWCT Tianjin Landsat data Tarim River Basin desert-oasis ecotone land-use change CA-Markov model remote sensing in hydrology precipitation performance evaluation GPM Poyang Lake Yangtze River assimilation nonparametric modeling multi-source n/a landscape pattern spatiotemporal changes influencing factors watershed China SE satellite data LUE-GPP SPEI copula function conditional probability soil moisture neural network downscaling microwave data MODIS data
Remote Sensing in Hydrology and Water Resources Management - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (487 p.)
Open Access
Water resources are the most valuable resources of sustainable socio-economic development, which is significantly affected by climate change and human activities. Water resources assessment is an urgent need for implementation of the perfect water resources management, but it is difficult to accurately evaluate the quantity and quality of water resources, especially in arid regions and high-altitude regions with sparse gauged data. This book hosts 24 papers devoted to remote sensing in hydrology and water resources management, which summarizes the recent advancement in remote sensing technology for hydrology analysis such as satellite remote sensing for water resources management, water quality monitoring and evaluation using remote sensing data, remote sensing for detecting the global impact of climate extremes, the use of remote sensing data for improved calibration of hydrological models, and so on. In general, the book will contribute to promote the application of remote sensing technology in water resources.
Creative Commons
English
books978-3-0365-2700-0 9783036527017 9783036527000
10.3390/books978-3-0365-2700-0 doi
Research & information: general
precipitation datasets evaluation spatial scale temporal scale climate Yellow River Basin data assimilation WRF WRFDA 3DVar water levels surface areas volume variations hypsometry bathymetry lakes reservoirs remote sensing DAHITI modified strahler approach airborne LiDAR DEM flood inundation flood map flood model LiDAR terrestrial LiDAR evapotranspiration variability uncertainty unmanned aerial system sUAS multispectral viticulture water resources management California lake Tibetan Plateau hydrological changes water balance Chindwin basin hydrological modelling multi-variable calibration satellite-based rainfall product TRMM temporal resolution rainfall erosivity combined approach multi-objective optimization modeling uncertainty model constraint SWAT semiarid area hydrological variations normalized difference vegetation index total water storage change groundwater change extreme precipitation estimation TMPA 3B42-V7 regional frequency analysis China satellite datasets accuracy evaluation hydrological applicability Bosten Lake Basin actual evapotranspiration available water resources climate change vegetation greening VIP-RS model Lancang-Mekong river basin MSWEP AgMERRA APHRODITE CHIRPS PERSIANN error correction agricultural water management crop water consumption remote sensing model evapotranspiration allocation inland water IWCT Tianjin Landsat data Tarim River Basin desert-oasis ecotone land-use change CA-Markov model remote sensing in hydrology precipitation performance evaluation GPM Poyang Lake Yangtze River assimilation nonparametric modeling multi-source n/a landscape pattern spatiotemporal changes influencing factors watershed China SE satellite data LUE-GPP SPEI copula function conditional probability soil moisture neural network downscaling microwave data MODIS data