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Radar Vegetation Indices for Crop Growth Monitoring

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

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Abstract

Vegetation indices (VI) are often used as a proxy to plant growth indicators. SAR data are usually processed by several downstream users and are often interpreted by non-radar specialists. This paradigm requires the utility of radar-derived vegetation indices prototypical for Analysis Ready Data (ARD) products. This chapter covers the methodologies for the novel radar vegetation indices, viz., GRVI (Generalized Radar Vegetation Index), CpRVI (Compact-pol Radar Vegetation Index), and Dual-pol Radar Vegetation Index (DpRVI), for the full, compact, and dual-pol SAR data, respectively. Detailed investigations are accompanied by temporal analysis of vegetation indices using in-situ measurements of crop biophysical parameters. Vegetation indices have also indicated an opportunity to estimate biophysical parameters with fitted models directly.

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Notes

  1. 1.

    During the simulation of 2 \(\times \) 2 covariance matrix \(\mathbf {C_2}\) from \(\mathbf {C_3}\), the ellipticity of transmitted wave \(\chi = {45}^{\circ }\) and right hand circular condition is considered (Kumar et al. 2017).

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Authors and Affiliations

  1. Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India

    Dipankar Mandal, Avik Bhattacharya & Yalamanchili Subrahmanyeswara Rao

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  1. Dipankar Mandal
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  2. Avik Bhattacharya
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  3. Yalamanchili Subrahmanyeswara Rao
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Correspondence to Dipankar Mandal .

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Mandal, D., Bhattacharya, A., Rao, Y.S. (2021). Radar Vegetation Indices for Crop Growth Monitoring. In: Radar Remote Sensing for Crop Biophysical Parameter Estimation. Springer Remote Sensing/Photogrammetry. Springer, Singapore. https://doi.org/10.1007/978-981-16-4424-5_7

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