Remote Sensing in Hydrology and Water Resources Management

• Andere auteurs: Duan, Weili (Redacteur), Maskey, Shreedhar (Redacteur), Chaffe, Pedro Luiz Borges (Redacteur), Luo, Pingping (Redacteur), He, Bin (Redacteur), Wu, Yiping (Redacteur), Hou, Jingming (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 accurat...