Monitoring seasonal changes in the water surface areas of reservoirs using TerraSAR-X time series data in semiarid northeastern Brazil
- The 933 km(2) Bengue catchment in northeastern Brazil is characterized by distinct rainy and dry seasons. Precipitation is stored in variously sized reservoirs, which is essential for the local population. In this study, we used TerraSAR-X SM(HH) data for an one-year monitoring of seasonal changes in the reservoir areas from July 2011 to July 2012. The monitoring was based on acquisitions in the ascending pass direction, complemented by occasional descending-pass images. To detect water surface areas, a histogram analysis followed by a global threshold classification was performed, and the results were validated using in situ GPS data. Distinguishing between small reservoirs and similar looking dark areas was difficult. Therefore, we tested several approaches for identifying misclassified areas. An analysis of the surface area dynamics of the reservoirs indicated high spatial and temporal heterogeneities and a large decrease in the total water surface area of the reservoirs in the catchment by approximately 30% within one year.
Verfasserangaben: | Iris Heine, Till FranckeORCiDGND, Christian Rogass, Pedro Henrique Augusto MedeirosORCiD, Axel BronstertORCiDGND, Saskia FörsterORCiDGND |
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DOI: | https://doi.org/10.1109/JSTARS.2014.2323819 |
ISSN: | 1939-1404 |
ISSN: | 2151-1535 |
Titel des übergeordneten Werks (Englisch): | IEEE journal of selected topics in applied earth observations and remote sensing |
Verlag: | Inst. of Electr. and Electronics Engineers |
Verlagsort: | Piscataway |
Publikationstyp: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2014 |
Erscheinungsjahr: | 2014 |
Datum der Freischaltung: | 27.03.2017 |
Freies Schlagwort / Tag: | Image classification; monitoring; radar imaging; remote sensing; synthetic aperture radar (SAR) |
Band: | 7 |
Ausgabe: | 8 |
Seitenanzahl: | 10 |
Erste Seite: | 3190 |
Letzte Seite: | 3199 |
Fördernde Institution: | DFG; Helmholtz Association of German Research Centres Initiative-Networking Fund for funding a Helmholtz Virtual Institute [VH-VI-415]; DLR [HYD1167]; [CNPq-474323/2011-0] |
Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
Peer Review: | Referiert |
Name der Einrichtung zum Zeitpunkt der Publikation: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften |