Sogno, Patrick und Klein, Igor und Kuenzer, Claudia (2022) Remote Sensing of Surface Water Dynamics in the Context of Global Change - A Review. Remote Sensing, 14 (10), Seiten 1-41. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs14102475. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/14/10/2475
Kurzfassung
Inland surface water is often the most accessible freshwater source. As opposed to groundwater, surface water is replenished in a comparatively quick cycle, which makes this vital resource—if not overexploited—sustainable. From a global perspective, freshwater is plentiful. Still, depending on the region, surface water availability is severely limited. Additionally, climate change and human interventions act as large-scale drivers and cause dramatic changes in established surface water dynamics. Actions have to be taken to secure sustainable water availability and usage. This requires informed decision making based on reliable environmental data. Monitoring inland surface water dynamics is therefore more important than ever. Remote sensing is able to delineate surface water in a number of ways by using optical as well as active and passive microwave sensors. In this review, we look at the proceedings within this discipline by reviewing 233 scientific works. We provide an extensive overview of used sensors, the spatial and temporal resolution of studies, their thematic foci, and their spatial distribution. We observe that a wide array of available sensors and datasets, along with increasing computing capacities, have shaped the field over the last years. Multiple global analysis-ready products are available for investigating surface water area dynamics, but so far none offer high spatial and temporal resolution.
elib-URL des Eintrags: | https://elib.dlr.de/186532/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Remote Sensing of Surface Water Dynamics in the Context of Global Change - A Review | ||||||||||||||||
Autoren: |
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Datum: | 21 Mai 2022 | ||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 14 | ||||||||||||||||
DOI: | 10.3390/rs14102475 | ||||||||||||||||
Seitenbereich: | Seiten 1-41 | ||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | remote sensing; surface water; dynamics; global change; earth observation; hydrology; biosphere; anthroposphere; review | ||||||||||||||||
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: | Sogno, Patrick | ||||||||||||||||
Hinterlegt am: | 08 Jun 2022 10:00 | ||||||||||||||||
Letzte Änderung: | 28 Mär 2023 10:59 |
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