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Remote Sensing in Hydrology and Water Resources Management

dc.contributor.editorDuan, Weili
dc.contributor.editorMaskey, Shreedhar
dc.contributor.editorChaffe, Pedro Luiz Borges
dc.contributor.editorLuo, Pingping
dc.contributor.editorHe, Bin
dc.contributor.editorWu, Yiping
dc.contributor.editorHou, Jingming
dc.date.accessioned2022-01-11T13:53:12Z
dc.date.available2022-01-11T13:53:12Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036527017_962
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/77131
dc.description.abstractWater 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.otherprecipitation datasets
dc.subject.otherevaluation
dc.subject.otherspatial scale
dc.subject.othertemporal scale
dc.subject.otherclimate
dc.subject.otherYellow River Basin
dc.subject.otherdata assimilation
dc.subject.otherWRF
dc.subject.otherWRFDA
dc.subject.other3DVar
dc.subject.otherwater levels
dc.subject.othersurface areas
dc.subject.othervolume variations
dc.subject.otherhypsometry
dc.subject.otherbathymetry
dc.subject.otherlakes
dc.subject.otherreservoirs
dc.subject.otherremote sensing
dc.subject.otherDAHITI
dc.subject.othermodified strahler approach
dc.subject.otherairborne LiDAR
dc.subject.otherDEM
dc.subject.otherflood inundation
dc.subject.otherflood map
dc.subject.otherflood model
dc.subject.otherLiDAR
dc.subject.otherterrestrial LiDAR
dc.subject.otherevapotranspiration
dc.subject.othervariability
dc.subject.otheruncertainty
dc.subject.otherunmanned aerial system
dc.subject.othersUAS
dc.subject.othermultispectral
dc.subject.otherviticulture
dc.subject.otherwater resources management
dc.subject.otherCalifornia
dc.subject.otherlake
dc.subject.otherTibetan Plateau
dc.subject.otherhydrological changes
dc.subject.otherwater balance
dc.subject.otherChindwin basin
dc.subject.otherhydrological modelling
dc.subject.othermulti-variable calibration
dc.subject.othersatellite-based rainfall product
dc.subject.otherTRMM
dc.subject.othertemporal resolution
dc.subject.otherrainfall erosivity
dc.subject.othercombined approach
dc.subject.othermulti-objective optimization
dc.subject.othermodeling uncertainty
dc.subject.othermodel constraint
dc.subject.otherSWAT
dc.subject.othersemiarid area
dc.subject.otherhydrological variations
dc.subject.othernormalized difference vegetation index
dc.subject.othertotal water storage change
dc.subject.othergroundwater change
dc.subject.otherextreme precipitation
dc.subject.otherestimation
dc.subject.otherTMPA 3B42-V7
dc.subject.otherregional frequency analysis
dc.subject.otherChina
dc.subject.othersatellite datasets
dc.subject.otheraccuracy evaluation
dc.subject.otherhydrological applicability
dc.subject.otherBosten Lake Basin
dc.subject.otheractual evapotranspiration
dc.subject.otheravailable water resources
dc.subject.otherclimate change
dc.subject.othervegetation greening
dc.subject.otherVIP-RS model
dc.subject.otherLancang-Mekong river basin
dc.subject.otherMSWEP
dc.subject.otherAgMERRA
dc.subject.otherAPHRODITE
dc.subject.otherCHIRPS
dc.subject.otherPERSIANN
dc.subject.othererror correction
dc.subject.otheragricultural water management
dc.subject.othercrop water consumption
dc.subject.otherremote sensing model
dc.subject.otherevapotranspiration allocation
dc.subject.otherinland water
dc.subject.otherIWCT
dc.subject.otherTianjin
dc.subject.otherLandsat data
dc.subject.otherTarim River Basin
dc.subject.otherdesert-oasis ecotone
dc.subject.otherland-use change
dc.subject.otherCA-Markov model
dc.subject.otherremote sensing in hydrology
dc.subject.otherprecipitation
dc.subject.otherperformance evaluation
dc.subject.otherGPM
dc.subject.otherPoyang Lake
dc.subject.otherYangtze River
dc.subject.otherassimilation
dc.subject.othernonparametric modeling
dc.subject.othermulti-source
dc.subject.othern/a
dc.subject.otherlandscape pattern
dc.subject.otherspatiotemporal changes
dc.subject.otherinfluencing factors
dc.subject.otherwatershed
dc.subject.otherChina SE
dc.subject.othersatellite data
dc.subject.otherLUE-GPP
dc.subject.otherSPEI
dc.subject.othercopula function
dc.subject.otherconditional probability
dc.subject.othersoil moisture
dc.subject.otherneural network
dc.subject.otherdownscaling
dc.subject.othermicrowave data
dc.subject.otherMODIS data
dc.titleRemote Sensing in Hydrology and Water Resources Management
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2700-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036527017
oapen.relation.isbn9783036527000
oapen.pages487
oapen.place.publicationBasel, Switzerland


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