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MONITORING WHEAT CROP GROWTH USING A NEW VEGETATION INDEX FROM SENTINEL-1 GRD SAR DATA
Journal
International Geoscience and Remote Sensing Symposium (IGARSS)
Date Issued
2021-01-01
Author(s)
Bhogapurapu, Narayanarao
Dey, Subhadip
Mandal, Dipankar
Bhattacharya, Avik
Rao, Y. S.
Abstract
Accurate and high-resolution spatio-temporal information on wheat growth is an essential factor for agronomic management and grain yield estimation. In this study, we propose a new vegetation descriptor from the Sentinel-1 Synthetic Aperture Radar (SAR) GRD data for monitoring the growth stages of wheat. We also assess the performance of the proposed vegetation descriptor for estimating wheat biophysical parameters: Plant Area Index (PAI), Dry Biomass (DB), and Vegetation Water Content (VWC) over the Soil Moisture Active Passive Validation Experiment 2016 (SMAPVEX16-MB) test site in Manitoba, Canada. The proposed vegetation descriptor produced good correlation (R2) with the biophysical parameters of wheat: 0.63 (PAI), 0.64 (DB), and 0.57 (VWC) compared to σVH◦/σVV◦ and the dual-pol Radar Vegetation Index (RVI).
Subjects