Remote Sensing in Hydrology and Water Resources Management

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...

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Outros Autores: Duan, Weili (Editor), Maskey, Shreedhar (Editor), Chaffe, Pedro Luiz Borges (Editor), Luo, Pingping (Editor), He, Bin (Editor), Wu, Yiping (Editor), Hou, Jingming (Editor)
Formato: Capítulo de Livro
Publicado em: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Assuntos:
WRF
DEM
GPM
n/a
Acesso em linha:Get Fullteks
DOAB: description of the publication
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020 |a books978-3-0365-2700-0 
020 |a 9783036527017 
020 |a 9783036527000 
024 7 |a 10.3390/books978-3-0365-2700-0  |c doi 
041 0 |a English 
042 |a dc 
072 7 |a GP  |2 bicssc 
100 1 |a Duan, Weili  |4 edt 
700 1 |a Maskey, Shreedhar  |4 edt 
700 1 |a Chaffe, Pedro Luiz Borges  |4 edt 
700 1 |a Luo, Pingping  |4 edt 
700 1 |a He, Bin  |4 edt 
700 1 |a Wu, Yiping  |4 edt 
700 1 |a Hou, Jingming  |4 edt 
700 1 |a Duan, Weili  |4 oth 
700 1 |a Maskey, Shreedhar  |4 oth 
700 1 |a Chaffe, Pedro Luiz Borges  |4 oth 
700 1 |a Luo, Pingping  |4 oth 
700 1 |a He, Bin  |4 oth 
700 1 |a Wu, Yiping  |4 oth 
700 1 |a Hou, Jingming  |4 oth 
245 1 0 |a Remote Sensing in Hydrology and Water Resources Management 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2021 
300 |a 1 electronic resource (487 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Research & information: general  |2 bicssc 
653 |a precipitation datasets 
653 |a evaluation 
653 |a spatial scale 
653 |a temporal scale 
653 |a climate 
653 |a Yellow River Basin 
653 |a data assimilation 
653 |a WRF 
653 |a WRFDA 
653 |a 3DVar 
653 |a water levels 
653 |a surface areas 
653 |a volume variations 
653 |a hypsometry 
653 |a bathymetry 
653 |a lakes 
653 |a reservoirs 
653 |a remote sensing 
653 |a DAHITI 
653 |a modified strahler approach 
653 |a airborne LiDAR 
653 |a DEM 
653 |a flood inundation 
653 |a flood map 
653 |a flood model 
653 |a LiDAR 
653 |a terrestrial LiDAR 
653 |a evapotranspiration 
653 |a variability 
653 |a uncertainty 
653 |a unmanned aerial system 
653 |a sUAS 
653 |a multispectral 
653 |a viticulture 
653 |a water resources management 
653 |a California 
653 |a lake 
653 |a Tibetan Plateau 
653 |a hydrological changes 
653 |a water balance 
653 |a Chindwin basin 
653 |a hydrological modelling 
653 |a multi-variable calibration 
653 |a satellite-based rainfall product 
653 |a TRMM 
653 |a temporal resolution 
653 |a rainfall erosivity 
653 |a combined approach 
653 |a multi-objective optimization 
653 |a modeling uncertainty 
653 |a model constraint 
653 |a SWAT 
653 |a semiarid area 
653 |a hydrological variations 
653 |a normalized difference vegetation index 
653 |a total water storage change 
653 |a groundwater change 
653 |a extreme precipitation 
653 |a estimation 
653 |a TMPA 3B42-V7 
653 |a regional frequency analysis 
653 |a China 
653 |a satellite datasets 
653 |a accuracy evaluation 
653 |a hydrological applicability 
653 |a Bosten Lake Basin 
653 |a actual evapotranspiration 
653 |a available water resources 
653 |a climate change 
653 |a vegetation greening 
653 |a VIP-RS model 
653 |a Lancang-Mekong river basin 
653 |a MSWEP 
653 |a AgMERRA 
653 |a APHRODITE 
653 |a CHIRPS 
653 |a PERSIANN 
653 |a error correction 
653 |a agricultural water management 
653 |a crop water consumption 
653 |a remote sensing model 
653 |a evapotranspiration allocation 
653 |a inland water 
653 |a IWCT 
653 |a Tianjin 
653 |a Landsat data 
653 |a Tarim River Basin 
653 |a desert-oasis ecotone 
653 |a land-use change 
653 |a CA-Markov model 
653 |a remote sensing in hydrology 
653 |a precipitation 
653 |a performance evaluation 
653 |a GPM 
653 |a Poyang Lake 
653 |a Yangtze River 
653 |a assimilation 
653 |a nonparametric modeling 
653 |a multi-source 
653 |a n/a 
653 |a landscape pattern 
653 |a spatiotemporal changes 
653 |a influencing factors 
653 |a watershed 
653 |a China SE 
653 |a satellite data 
653 |a LUE-GPP 
653 |a SPEI 
653 |a copula function 
653 |a conditional probability 
653 |a soil moisture 
653 |a neural network 
653 |a downscaling 
653 |a microwave data 
653 |a MODIS data 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/4749  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/77131  |7 0  |z DOAB: description of the publication