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Journal of Applied Remote Sensing

Characterization and classification of freshwater marshy wetland using synthetic aperture radar polarimetry: a case study from Loktak wetland, Northeast India
Author(s): Hitendra Padalia; Mohamed Musthafa
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Paper Abstract

Loktak is the largest natural wetland of Northeast India, the last home of endangered brow-antlered deer, and a site of global significance recognized under Ramsar convention. Ecological and human-meditated spatial patterns of Loktak wetland were characterized and classified using a Radarsat-2 C band synthetic aperture radar (SAR) satellite data. Radarsat-2 quad-pol scene of dry season was preprocessed and classified using PolSARpro software. Eigen vector–eigen value decomposition of coherency matrix ( T 3 ) was performed to characterize the scattering properties of wetland targets based on entropy ( H )/anisotropy ( A )/alpha angle ( α ) segmentation. Results illustrate that RGB color display of H / A / α images is a useful indicator of wetland structure and composition, and provide clear visual discrimination of open water, floating phumdi, permanent phumdi cover, and associated man-made features. Six classes, namely, floating phumdi, permanent phumdi, scrub/shrub, fallow land, built-up, and open water were mapped using Wishart classification of H / A / α images. Scattering mechanisms of natural and man-made targets synthesized from PolSAR data, and their classification using Wishart algorithm have been validated through a visually classified map and field reference points. The land cover generated would be useful for conservation and management of Loktak wetland and brow-antlered deer population.

Paper Details

Date Published: 21 February 2017
PDF: 11 pages
J. Appl. Rem. Sens. 11(1) 016029 doi: 10.1117/1.JRS.11.016029
Published in: Journal of Applied Remote Sensing Volume 11, Issue 1
Show Author Affiliations
Hitendra Padalia, Indian Space Research Organisation (India)
Mohamed Musthafa, Indian Space Research Organisation (India)

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