Assessment of dual polarimetric radar vegetation descriptor in modified water cloud model for retrieval of leaf area index using Sentinel -1 (C-band) satellite data

Yadav, VP and Bala, R and Prasad, R and Singh, SK (2022) Assessment of dual polarimetric radar vegetation descriptor in modified water cloud model for retrieval of leaf area index using Sentinel -1 (C-band) satellite data. In: 2022 URSI Regional Conference on Radio Science, USRI-RCRS 2022, 1- 4 Dec 2022, Indore.

PDF usrc-rcrs_2022.pdf - Published Version Restricted to Registered users only Download (668kB) | Request a copy

Abstract

The polarimetric study in terms of energy spectrum (matrix decomposition) and degree of polarization (m) for vegetation targets infer the accuracy of synthetic aperture radar (SAR) sensors and vegetation operational algorithms. In the present work the dual polarimetric radar vegetation index (DpRVI) and polarimetric radar vegetation index (PRVI) were used as a radar vegetation descriptor (V) in modified water cloud model (MWCM) for assessment of retrieval accuracy of leaf area index (LAI) for wheat crop in the vegetative cropland using Sentinel -1 (C - band) satellite data. The Jacobian based non-linear least square optimization algorithm was used for the parametrization of MWCM. Further, the inversion methods were adopted for retrieval of LAI at VV polarization. The statistical correlation analysis was indicated that DpRVI employed the better R2=0.78 than PRVI(R2=0.71) Thus, the (DpRVI) may be alternative tool than optical indices in all weather and in night time acquisition for gap filling in time-series study of crop monitoring. © 2022 International Radio Science Union (URSI).

Item Type:	Conference Paper
Publication:	2022 URSI Regional Conference on Radio Science, USRI-RCRS 2022
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Cloud computing; Correlation methods; Crops; Polarimeters; Polarization; Synthetic aperture radar; Time series analysis, C-bands; Descriptors; Energy spectrum; Leaf Area Index; Matrix decomposition; Polarimetric radars; Satellite data; Sentinel-1; Vegetation index; Water cloud models, Vegetation
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	28 Jun 2023 09:05
Last Modified:	28 Jun 2023 09:05
URI:	https://eprints.iisc.ac.in/id/eprint/82203

Actions (login required)

View Item