DocumentCode :
2234738
Title :
Application of quadpolarimetric TerraSAR-X data for landcover characterization in tropical regions - A case study in South Kalimantan, Indonesia
Author :
Ullmann, Tobias ; Lumsdon, Parivash ; Poncet, Felicitas V. ; Esch, Thomas ; Lang, Oliver ; Tinz, Marek ; Kuntz, Steffen ; Dech, Stefan
Author_Institution :
Astrium GEO-Inf. Services, Immenstaad, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
5133
Lastpage :
5136
Abstract :
Tropics of the earth show a rapid change of land cover and a strong need to quantify changes continuously. With TerraSAR-X (TSX) a SAR radar-satellite-system operating in the X-Band and with experimental full-polarimetric imaging capability is available. Present work evaluates the statistically separability of CLOUDE and YAMAGUCHI decomposition parameters derived from TSX quad polarimetric StripMap data for several land cover classes over an Indonesian test site. Analyzed decomposition features show in general a more differentiated response of the selected classes´ feature-values, than the pure amplitudes. The decomposition parameters reveal a good applicability to characterize general land cover classes, such as Water bodies, Wetlands, Grasslands or Wooded areas. Since the penetration depth of X-Band from forested areas is very low, the differentiation of high biomass classes is limited.
Keywords :
remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; CLOUDE decomposition parameter; Earth tropics; Indonesian test site; SAR radar-satellite-system; South Kalimantan; TSX quad polarimetric StripMap data; YAMAGUCHI decomposition parameter; full-polarimetric imaging capability; grassland area; land cover change; land cover classes; landcover characterization; quadpolarimetric TerraSAR-X data; tropical regions; water body area; wetland area; wooded area; Earth; FCC; Image color analysis; Radar imaging; Remote sensing; Satellites; Vegetation mapping; Land Cover; Polarimetry; Quapol; TerraSAR-X; Tropics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352455
Filename :
6352455
Link To Document :
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