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Classification of polarimetric sar data over wet and arid regions of india

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Title Classification of polarimetric sar data over wet and arid regions of india
 
Creator RAO, YS
TURKAR, V
 
Subject polarimetric data
sar
wetlands
arid lands
classification
soil moisture
 
Description Polarimetric SAR data from ALOS PALSAR, SIR-C and ENVISAT ASAR over wet and arid regions were processed for classification and soil moisture estimation. HI-I and HV dual polarized ALOS PALSAR could classify wetlands of Mumbai coastal area with an accuracy of 96%, whereas fully polarized SIR-C data over Kolkata gave 92% accuracy. The accuracies are based on selected training areas and not based on test areas ALOS PALSAR could clearly discriminate water, mangrove forest and ocean water. With Dual polarized data, discrimination between Ocean water and wetlands is not possible. Several features in arid data can also be classified using PALSAR data in addition to the estimation of soil moisture.
 
Publisher IEEE
 
Date 2011-10-25T19:27:25Z
2011-12-15T09:12:06Z
2011-10-25T19:27:25Z
2011-12-15T09:12:06Z
2009
 
Type Proceedings Paper
 
Identifier 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5,2194-2197
978-1-4244-3394-0
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15800
http://hdl.handle.net/100/2466
 
Source IEEE International Geoscience and Remote Sensing Symposium,Cape Town, SOUTH AFRICA,JUL 12-17, 2009
 
Language English