06215nam 2201861z- 450 991055763280332120220111(CKB)5400000000045086(oapen)https://directory.doabooks.org/handle/20.500.12854/77131(oapen)doab77131(EXLCZ)99540000000004508620202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing in Hydrology and Water Resources ManagementBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (487 p.)3-0365-2701-X 3-0365-2700-1 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.Research & information: generalbicssc3DVaraccuracy evaluationactual evapotranspirationAgMERRAagricultural water managementairborne LiDARAPHRODITEassimilationavailable water resourcesbathymetryBosten Lake BasinCA-Markov modelCaliforniaChinaChina SEChindwin basinCHIRPSclimateclimate changecombined approachconditional probabilitycopula functioncrop water consumptionDAHITIdata assimilationDEMdesert-oasis ecotonedownscalingerror correctionestimationevaluationevapotranspirationevapotranspiration allocationextreme precipitationflood inundationflood mapflood modelGPMgroundwater changehydrological applicabilityhydrological changeshydrological modellinghydrological variationshypsometryinfluencing factorsinland waterIWCTlakelakesLancang-Mekong river basinland-use changeLandsat datalandscape patternLiDARLUE-GPPmicrowave datamodel constraintmodeling uncertaintymodified strahler approachMODIS dataMSWEPmulti-objective optimizationmulti-sourcemulti-variable calibrationmultispectraln/aneural networknonparametric modelingnormalized difference vegetation indexperformance evaluationPERSIANNPoyang Lakeprecipitationprecipitation datasetsrainfall erosivityregional frequency analysisremote sensingremote sensing in hydrologyremote sensing modelreservoirssatellite datasatellite datasetssatellite-based rainfall productsemiarid areasoil moisturespatial scalespatiotemporal changesSPEIsUASsurface areasSWATTarim River Basintemporal resolutiontemporal scaleterrestrial LiDARTianjinTibetan PlateauTMPA 3B42-V7total water storage changeTRMMuncertaintyunmanned aerial systemvariabilityvegetation greeningVIP-RS modelviticulturevolume variationswater balancewater levelswater resources managementwatershedWRFWRFDAYangtze RiverYellow River BasinResearch & information: generalDuan Weiliedt928806Maskey ShreedharedtChaffe Pedro Luiz BorgesedtLuo PingpingedtHe BinedtWu YipingedtHou JingmingedtDuan WeiliothMaskey ShreedharothChaffe Pedro Luiz BorgesothLuo PingpingothHe BinothWu YipingothHou JingmingothBOOK9910557632803321Remote Sensing in Hydrology and Water Resources Management3026531UNINA