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Library Potential of polarimetric Radarsat-2 data in geological mapping – a case study in parts of Dharwar craton, India

Potential of polarimetric Radarsat-2 data in geological mapping – a case study in parts of Dharwar craton, India

Potential of polarimetric Radarsat-2 data in geological mapping – a case study in parts of Dharwar craton, India

Resource information

Date of publication
december 2013
Resource Language
ISBN / Resource ID
AGRIS:US201400149740
Pages
1893-1904

Polarimetry is a technique for quantitatively estimating the change in polarization in a backscattered electromagnetic signal (in this case a radar signal) with reference to the polarization of the incident signal for estimating the geophysical properties (roughness and dielectric constant) of surface elements. In this study, quadrapole Radarsat-2 data have been utilized for mapping geological elements in Archaean terrain based on their geophysical parameters preserved in the four polarization channels of Radarsat-2 data. The study illustrates how single-look complex polarimetric data can be processed to extract information on lithology, geological structure, and land covers (i.e. soil type, etc.) preferentially developed over each rock type. The study revealed that C-band polarization power images can be used indirectly to delineate lithounits provided each unit has characteristic surface roughness and moisture resulting from the surface cover or exposure pattern developed over each lithounit. Moreover, polarimetric data (inclusive of phase and amplitude) provide complementary information when we compare this information with the information derived from simple polarization composites, derived from the backscattered image of each polarization channel. It is also observed that structural imprints are enhanced in co-polarized (HH, VV) data, whereas the cross-polarized channel (HV, VH) provides information on land cover.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Guha, Arindam
Ghosh, Deepshikha
Majumdar, Ritwik
Kumar, K. Vinod

Publisher(s)
Data Provider
Geographical focus