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The H/A/ALPHA polarimetric decomposition theorem and complex wishart distribution for snow cover monitoring
G. Singh, G. Venkataraman, Y.S. Rao, , Snehmani
Published in Institute of Electrical and Electronics Engineers Inc.
2008
Volume: 4
   
Issue: 1
Pages: 1081 - 1084
Abstract
Snow cover area is a very important parameter for snowmelt runoff modeling and forecasting. Snow cover information is also useful for managing transportation and avalanche forecasting. Our study area includes Gangotri glacier region, Siachen glacier region and Beaskund glacier region in the North-West Himalayas of India. Our previous studies discuss the capability of several algorithms for optical sensor as well as SAR to map the snow cover area in Himalayan regions. In recent years, the SAR interferometry has provided number of attractive applications in landuse/landcover mapping. This study discusses the capability of both backscattering ratio techniques and InSAR coherence measurement techniques for snow cover mapping in Himalayan region with repeat passes data of ERS1/2 and ENVISAT-ASAR. By analyzing the several pairs of ENVISAT repeat passes ASAR images for the study area, we find that the coherence measurement from bare soil, bare rock and vegetation are high and snow covered area and glacier area have very low coherence except in one day difference image. © 2008 IEEE.
About the journal
JournalData powered by TypesetInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.