TY - GEN AU - Duan,Weili AU - Maskey,Shreedhar AU - Chaffe,Pedro Luiz Borges AU - Luo,Pingping AU - He,Bin AU - Wu,Yiping AU - Hou,Jingming AU - Duan,Weili AU - Maskey,Shreedhar AU - Chaffe,Pedro Luiz Borges AU - Luo,Pingping AU - He,Bin AU - Wu,Yiping AU - Hou,Jingming TI - Remote Sensing in Hydrology and Water Resources Management SN - books978-3-0365-2700-0 PY - 2021/// CY - Basel, Switzerland PB - MDPI - Multidisciplinary Digital Publishing Institute KW - Research & information: general KW - bicssc KW - precipitation datasets KW - evaluation KW - spatial scale KW - temporal scale KW - climate KW - Yellow River Basin KW - data assimilation KW - WRF KW - WRFDA KW - 3DVar KW - water levels KW - surface areas KW - volume variations KW - hypsometry KW - bathymetry KW - lakes KW - reservoirs KW - remote sensing KW - DAHITI KW - modified strahler approach KW - airborne LiDAR KW - DEM KW - flood inundation KW - flood map KW - flood model KW - LiDAR KW - terrestrial LiDAR KW - evapotranspiration KW - variability KW - uncertainty KW - unmanned aerial system KW - sUAS KW - multispectral KW - viticulture KW - water resources management KW - California KW - lake KW - Tibetan Plateau KW - hydrological changes KW - water balance KW - Chindwin basin KW - hydrological modelling KW - multi-variable calibration KW - satellite-based rainfall product KW - TRMM KW - temporal resolution KW - rainfall erosivity KW - combined approach KW - multi-objective optimization KW - modeling uncertainty KW - model constraint KW - SWAT KW - semiarid area KW - hydrological variations KW - normalized difference vegetation index KW - total water storage change KW - groundwater change KW - extreme precipitation KW - estimation KW - TMPA 3B42-V7 KW - regional frequency analysis KW - China KW - satellite datasets KW - accuracy evaluation KW - hydrological applicability KW - Bosten Lake Basin KW - actual evapotranspiration KW - available water resources KW - climate change KW - vegetation greening KW - VIP-RS model KW - Lancang-Mekong river basin KW - MSWEP KW - AgMERRA KW - APHRODITE KW - CHIRPS KW - PERSIANN KW - error correction KW - agricultural water management KW - crop water consumption KW - remote sensing model KW - evapotranspiration allocation KW - inland water KW - IWCT KW - Tianjin KW - Landsat data KW - Tarim River Basin KW - desert-oasis ecotone KW - land-use change KW - CA-Markov model KW - remote sensing in hydrology KW - precipitation KW - performance evaluation KW - GPM KW - Poyang Lake KW - Yangtze River KW - assimilation KW - nonparametric modeling KW - multi-source KW - n/a KW - landscape pattern KW - spatiotemporal changes KW - influencing factors KW - watershed KW - China SE KW - satellite data KW - LUE-GPP KW - SPEI KW - copula function KW - conditional probability KW - soil moisture KW - neural network KW - downscaling KW - microwave data KW - MODIS data N1 - Open Access N2 - 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 UR - https://mdpi.com/books/pdfview/book/4749 UR - https://directory.doabooks.org/handle/20.500.12854/77131 ER -