Capability of decomposition methods for identification of crops and other land-cover targets using hybrid polarimetric SAR data

Atasi De; Dheeraj Kumar; Parul Patel

doi:10.1117/12.2324638

9 October 2018 Capability of decomposition methods for identification of crops and other land-cover targets using hybrid polarimetric SAR data

Atasi De, Dheeraj Kumar, Parul Patel

Author Affiliations +

Proceedings Volume 10788, Active and Passive Microwave Remote Sensing for Environmental Monitoring II; 107880I (2018) https://doi.org/10.1117/12.2324638
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

The main objective of current study is to investigate the potential of decomposition methods for monitoring crops and discrimination of other land cover targets using c-band hybrid polarimetric Risat-1 SAR images. There are two study areas namely Burdwan and Bharatpur in India chosen for analysing various existing decomposition methods in this paper. The Risat-1 hybrid polarimetric SAR Single look complex (SLC) data by ascending observation mode were utilized in our experiment and acquired in the month of December 22nd, 2014 and August 3rd, 2016 from parts of Burdwan and Bharatpur area respectively. The Stokes classical parameters G₀, G₁, G₂ and G₃ are derived from hybrid SAR images for further analysis. From these Stokes parameters, the relative phase, degree of polarization, orientation, ellipticity and polarization angle are calculated. Furthermore, four decomposition techniques namely m-δ, m-α, m-χ and modified m-χ are performed and expressed in the form of odd bounce, even bounce and volume components for monitoring crops and surrounding land cover targets in our study areas. The preliminary results have been observed from supervised classification on the basis of decomposition methods for identification of various crops, barren land, urban areas and waterbodies in the study sites. It has been shown that volume component among all decompositions is over estimated in comparison to odd and even bounce components. Risat-1 hybrid SAR data is found to be more suitable, convenient and cost-effective for discrimination of various land cover targets whereas cloud free optical data is a prime hindrance to the crop inventory.

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Atasi De, Dheeraj Kumar, and Parul Patel "Capability of decomposition methods for identification of crops and other land-cover targets using hybrid polarimetric SAR data", Proc. SPIE 10788, Active and Passive Microwave Remote Sensing for Environmental Monitoring II, 107880I (9 October 2018); https://doi.org/10.1117/12.2324638

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KEYWORDS

Synthetic aperture radar

Polarimetry

Scattering

Data acquisition

Polarization

Satellites

Remote sensing

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