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dc.contributor.editorZhang, Yongqiang
dc.contributor.editorRyu, Dongryeol
dc.contributor.editorZheng, Donghai
dc.date.accessioned2022-01-11T13:47:26Z
dc.date.available2022-01-11T13:47:26Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036523316_783
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76951
dc.description.abstractRemotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions on how to capitalize on state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.otherrainfall monitoring
dc.subject.otherremote sensing
dc.subject.otherrain rate estimation
dc.subject.other5G
dc.subject.othermillimeter-wave
dc.subject.otherE-band
dc.subject.otherLOS-MIMO
dc.subject.otherUAV remote sensing
dc.subject.otherEphemeral rivers
dc.subject.otherflood peak discharge
dc.subject.otherincipient motion
dc.subject.otherarid ungauged regions
dc.subject.otherflash flood
dc.subject.otherIntegrated Multi-Satellite Retrievals for Global Precipitation Measurement
dc.subject.otherRainfall Triggering Index
dc.subject.otherYunnan
dc.subject.otherecological water transfer
dc.subject.otherwetland vegetation ecosystem
dc.subject.othersurface and groundwater interaction
dc.subject.othernorthwestern China
dc.subject.otherWRF-3DVar data assimilation
dc.subject.othercoupled atmospheric-hydrologic system
dc.subject.otherrainfall-runoff prediction
dc.subject.otherlumped Hebei model
dc.subject.othergrid-based Hebei model
dc.subject.otherWRF-Hydro modeling system
dc.subject.otherevapotranspiration
dc.subject.othermodel
dc.subject.otherSWAT
dc.subject.othercalibration
dc.subject.otherregression
dc.subject.otherSierra Nevada
dc.subject.otherflux tower
dc.subject.otherwater limitation
dc.subject.othervapor pressure deficit
dc.subject.otherdouble-mass analysis
dc.subject.othercoefficient of variability
dc.subject.otherseasonal ARIMA
dc.subject.otherMK-S trend analysis
dc.subject.otherevaporation
dc.subject.otherLAI
dc.subject.otherNDVI
dc.subject.otherurban ecosystem
dc.subject.othersponge city
dc.subject.otherPML-V2
dc.subject.otherPenman–Monteith equation
dc.subject.otherSentinel-2
dc.subject.otherassimilation frequency
dc.subject.otherdata assimilation
dc.subject.otherWRF-3DAVR
dc.subject.otherradar reflectivity
dc.subject.otherrainfall forecast
dc.subject.otherurban flood
dc.subject.otherdesign rainfall
dc.subject.otherungauged drainage basin
dc.subject.otherRainyDay
dc.subject.otherIDF formula
dc.subject.otherhydrological prediction
dc.subject.otherclimate change
dc.subject.otherland use change
dc.titleUsing Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2332-3
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036523316
oapen.relation.isbn9783036523323
oapen.pages216
oapen.place.publicationBasel, Switzerland


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