Dual Polarimetric Information for Biomass Estimation of Crop

Soybean (Glycin max (L.) Merrill) is one of the major oil producing cash crop and Wheat (Triticum aestivum L.) is one of the major staple crop. Timely growth stages and biophysical parameter monitoring plays crucial role in the yield assessment. In this work, we explore the Sentinel-1 synthetic aperture radar (SAR) data backscatter (VH and VV) and derived vegetation indices, namely DpRVI to estimate soybean biomass and Wheat biomass. We have also used optical based vegetation indice NDVI for wheat crop. We investigate the correlation between SAR parameters and In-situ collected data (vegetation water content, dry biomass, and wet biomass) during the soybean and wheat growth cycle. The results indicate a substantial correlation near the harvesting stage compared to other growth stages. VH backscatter and DpRVI index found to be better correlated with the vegetation water content of soybean and wheat with $R^{2}=0.10$ and $\mathrm{R}^{2}=0.14$ respectively.

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Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.10984416
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.46
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Dual Polarimetric Information for Biomass Estimation of Crop

Vineet Kumar, Unmesh Khati, Sakshi Jain
1 citations
Remote Sensing in Agriculture
0.46
article

Dual Polarimetric Information for Biomass Estimation of Crop

Vineet Kumar, Unmesh Khati, Sakshi Jain
article en
1 citations

Abstract

Soybean (Glycin max (L.) Merrill) is one of the major oil producing cash crop and Wheat (Triticum aestivum L.) is one of the major staple crop. Timely growth stages and biophysical parameter monitoring plays crucial role in the yield assessment. In this work, we explore the Sentinel-1 synthetic aperture radar (SAR) data backscatter (VH and VV) and derived vegetation indices, namely DpRVI to estimate soybean biomass and Wheat biomass. We have also used optical based vegetation indice NDVI for wheat crop. We investigate the correlation between SAR parameters and In-situ collected data (vegetation water content, dry biomass, and wet biomass) during the soybean and wheat growth cycle. The results indicate a substantial correlation near the harvesting stage compared to other growth stages. VH backscatter and DpRVI index found to be better correlated with the vegetation water content of soybean and wheat with $R^{2}=0.10$ and $\mathrm{R}^{2}=0.14$ respectively.

Indian Institute of Technology Indore (IN), Tata Institute of Social Sciences (IN)
Zero hunger
Openalex Percentile: Top 27%
Remote Sensing in Agriculture
0.46
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