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Surface Water Derivation with WaMaPro to support hydrological applications

Huth, Juliane and Leinenkugel, Patrick and Künzer, Claudia (2015) Surface Water Derivation with WaMaPro to support hydrological applications. Third Space for Hydrology Workshop, 15.-17. Sept. 2015, Frascati, Italien.

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Abstract

The extent of water surfaces and their inherent temporal dynamics are key parameters governing the hydrological cycle. Information on water surfaces such as delineation of water extent, permanent water bodies, partially and temporarily inundated regions, and flooded areas, as well as on specific surface water dynamics is considered beneficial for hydrological modelling purposes. Numerous research groups active in hydrological modelling have included surface water datasets derived on the basis of satellite remote sensing in their models for calibration and validation purposes. This presentation gives an overview of WaMaPro – that stands for WaterMaskProcessor – a watermask generation approach for earth observation-based surface water detection from radar remote sensing data developed at DLR-DFD. Furthermore, the integration of watermask information products in hydrological modelling approaches is presented. Examples from joint research application projects are given for the Mekong Delta in Vietnam and the Yellow River Delta in China, where surface water information generated with WaMaPro has been already used for the calibration of regional hydrological models, as well as for setting boundary conditions of hydrodynamical models. The methodological background of WaMaPro will be briefly outlined and advantages of using active satellite remote sensing data – such as Sentinel-1, TerraSAR-X, and Envisat-ASAR – will be presented especially for regions on Earth were the generation of time series of high temporal resolution, that is necessary for hydrological applications, is nearly impossible to be acquired from optical data related to persistent cloud cover. The implementation of WaMaPro is based on Python language as a plug-in for the well-known open source GIS software Quantum GIS. Therefore, this software can be shared with interested potential users of a large community without inflicting any license fees. The tool has been designed for the usage by scientists and aims to support even non-experts and remote sensing beginners to easily and effective derive water surface information.

Item URL in elib:https://elib.dlr.de/99302/
Document Type:Conference or Workshop Item (Speech)
Title:Surface Water Derivation with WaMaPro to support hydrological applications
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Huth, Julianejuliane.huth (at) dlr.deUNSPECIFIED
Leinenkugel, Patrickpatrick.leinenkugel (at) dlr.deUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Date:15 September 2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:satellite observations, surface water, WaMaPro, SAR remote sensing, Sentinel-1, ASAR, TerraSAR-X, hydrological modelling
Event Title:Third Space for Hydrology Workshop
Event Location:Frascati, Italien
Event Type:Workshop
Event Dates:15.-17. Sept. 2015
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Leinenkugel, Patrick
Deposited On:23 Nov 2015 10:21
Last Modified:10 May 2016 23:34

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