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- W2275791969 abstract "The extent of water surfaces and their inherent temporal dynamics are key parameters governing thehydrological cycle. Information on water surfaces such as delineation of water extent, permanent waterbodies, partially and temporarily inundated regions, and flooded areas, as well as on specific surfacewater dynamics is considered beneficial for hydrological modelling purposes. Numerous research groupsactive in hydrological modelling have included surface water datasets derived on the basis of satelliteremote sensing in their models for calibration and validation purposes.This presentation gives an overview of WaMaPro – that stands for WaterMaskProcessor – a watermaskgeneration approach for earth observation-based surface water detection from radar remote sensing datadeveloped at DLR-DFD. Furthermore, the integration of watermask information products inhydrological modelling approaches is presented. Examples from joint research application projects aregiven for the Mekong Delta in Vietnam and the Yellow River Delta in China, where surface waterinformation generated with WaMaPro has been already used for the calibration of regional hydrologicalmodels, as well as for setting boundary conditions of hydrodynamical models.The methodological background of WaMaPro will be briefly outlined and advantages of using activesatellite remote sensing data – such as Sentinel-1, TerraSAR-X, and Envisat-ASAR – will be presentedespecially for regions on Earth were the generation of time series of high temporal resolution, that isnecessary for hydrological applications, is nearly impossible to be acquired from optical data related topersistent cloud cover. The implementation of WaMaPro is based on Python language as a plug-in for thewell-known open source GIS software Quantum GIS. Therefore, this software can be shared withinterested potential users of a large community without inflicting any license fees. The tool has beendesigned for the usage by scientists and aims to support even non-experts and remote sensing beginnersto easily and effective derive water surface information." @default.
- W2275791969 created "2016-06-24" @default.
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- W2275791969 date "2015-09-15" @default.
- W2275791969 modified "2023-09-25" @default.
- W2275791969 title "Surface Water Derivation with WaMaPro to support hydrological applications" @default.
- W2275791969 hasPublicationYear "2015" @default.
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