Mengen, David und Ottinger, Marco und Leinenkugel, Patrick und Ribbe, Lars (2020) Modeling River Discharge Using Automated River Width Measurements Derived from Sentinel-1 Time Series. Remote Sensing, 12 (19), Seiten 1-24. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs12193236. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/12/19/3236
Kurzfassung
Against the background of a worldwide decrease in the number of gauging stations, the estimation of river discharge using spaceborne data is crucial for hydrological research, river monitoring, and water resource management. Based on the at-many-stations hydraulic geometry (AMHG) concept, a novel approach is introduced for estimating river discharge using Sentinel-1 time series within an automated workflow. By using a novel decile thresholding method, no a priori knowledge of the AMHG function or proxy is used, as proposed in previous literature. With a relative root mean square error (RRMSE) of 19.5% for the whole period and a RRMSE of 15.8% considering only dry seasons, our method is a significant improvement relative to the optimized AMHG method, achieving 38.5% and 34.5%, respectively. As the novel approach is embedded into an automated workflow, it enables a global application for river discharge estimation using solely remote sensing data. Starting with the mapping of river reaches, which have large differences in river width over the year, continuous river width time series are created using high-resolution and weather-independent SAR imaging. It is applied on a 28 km long section of the Mekong River near Vientiane, Laos, for the period from 2015 to 2018.
elib-URL des Eintrags: | https://elib.dlr.de/136444/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Titel: | Modeling River Discharge Using Automated River Width Measurements Derived from Sentinel-1 Time Series | ||||||||||||||||||||
Autoren: |
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Datum: | 5 Oktober 2020 | ||||||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 12 | ||||||||||||||||||||
DOI: | 10.3390/rs12193236 | ||||||||||||||||||||
Seitenbereich: | Seiten 1-24 | ||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | discharge modeling; decile thresholding; AMHG; river width; time series; SAR; Sentinel-1; Mekong River | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche | ||||||||||||||||||||
Hinterlegt von: | Ottinger, Dr. Marco | ||||||||||||||||||||
Hinterlegt am: | 07 Okt 2020 10:32 | ||||||||||||||||||||
Letzte Änderung: | 26 Okt 2020 16:27 |
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