Development of L-band fully polarimetric SAR algorithm for forest biomass retrieval using 7SD and random forest regression

Rajat,; Priyanka,; Musthafa, Mohamed; Kumar, Praveen; Alsulamy, Saleh; Khedher, Khaled; Avtar, Ram

doi:10.1016/j.pce.2024.103688

Physics and Chemistry of the Earth, Parts A/B/C

2024

DOI: 10.1016/j.pce.2024.103688

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Development of L-band fully polarimetric SAR algorithm for forest biomass retrieval using 7SD and random forest regression

Rajat,

Priyanka,

Mohamed Musthafa

et al.

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2024

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Development of Four Component Scattering Power Decomposition Technique for Dual Polarization SAR Data

Rajat,

Avtar

2024

J Indian Soc Remote Sens

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The increasing availability of dual-polarimetric synthetic aperture radar (PolSAR) data has led to a significant rise in its applications over the past few decades. Model-based decompositions combined with polarimetric information extraction from PolSAR data play a crucial role in target identification and classification. In this context, the covariance matrix [C], composed of four independent parameters, was used as the input for dual-pol four-component scattering power decomposition (DP-4SD). A novel 4SD model was tested using dual polarimetric SAR data from the spaceborne ALOS-2/PALSAR-2, and its performance was evaluated against existing scattering power decomposition methods. The performance of the proposed 4SD model was assessed using dual-polarization data from the Haldwani Forest and San Francisco to evaluate its classification capabilities within a single class (forest) and across various land use and land cover classes in San Francisco. The overall classification accuracy achieved was 85.69% for the Haldwani forest and 93.66% for San Francisco, with fewer unclassified samples compared with the existing model. The 4SD model demonstrates superior classification accuracy and enhances the interpretation of polarimetric information, indicating its potential to significantly improve land-use and land-cover mapping using dual PolSAR data.

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Development of Four Component Scattering Power Decomposition Technique for Dual Polarization SAR Data

Rajat,

Avtar

2024

J Indian Soc Remote Sens

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Development of L-band fully polarimetric SAR algorithm for forest biomass retrieval using 7SD and random forest regression

Cited by 1 publication

References 71 publications

Development of Four Component Scattering Power Decomposition Technique for Dual Polarization SAR Data

Development of Four Component Scattering Power Decomposition Technique for Dual Polarization SAR Data

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