DocumentCode :
6079
Title :
Monitoring Seasonal Changes in the Water Surface Areas of Reservoirs Using TerraSAR-X Time Series Data in Semiarid Northeastern Brazil
Author :
Heine, Iris ; Francke, Till ; Rogass, Christian ; Medeiros, Pedro H. A. ; Bronstert, Axel ; Foerster, Saskia
Author_Institution :
Helmholtz Centre Potsdam, GFZ German Res. Centre for Geosci., Potsdam, Germany
Volume :
7
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
3190
Lastpage :
3199
Abstract :
The 933 km2 Benguê 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.
Keywords :
geophysical image processing; hydrological techniques; image classification; rain; remote sensing by radar; synthetic aperture radar; water resources; AD 2011 07 to 2012 07; Bengue catchment; GPS data; TerraSAR-X time series data; ascending pass direction; dry season; global threshold classification; occasional descending-pass images; rainy season; reservoir water surface areas; seasonal change monitoring; semiarid northeastern Brazil; Global Positioning System; Manuals; Monitoring; Reservoirs; Strips; Synthetic aperture radar; Image classification; monitoring; radar imaging; remote sensing; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2014.2323819
Filename :
6868962
Link To Document :
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