Radar Vegetation Index for assessing cotton crop condition using RISAT-1 data

Abstract

Periodic crop condition monitoring is of prime importance in cotton belt of western India for water stress management. In this article, vegetation water content (VWC) is assessed using Radar Vegetation Index (RVI) derived from the RISAT-1 data during July to September, vegetative to first picking phase, for utilizing its potential for large area cotton condition assessment. The RVI estimation from dual-polarized data has been demonstrated for regional applications. Prediction models of VWC for cotton crop using RVI and in situ ground measurements depicts significant relationship, with R² varying from 0.5 to 0.6 and RMSE of 0.3–0.7 kg m⁻². High correlation exists between RVI with crop age and crop biomass with R² varying from 0.55 to 0.7, this proves useful for sowing date prediction. The results showed good validation (R² = 0.8) for operational applications. The estimated VWC was found with 30–35% error above 4 kg m⁻² biomasses as compared to 20–25% in lower ranges.

Keywords:

• Radar Vegetation Index
• cotton crop
• vegetation water content
• RISAT-1
• crop parameters

Acknowledgements

The authors are thankful to Dr. Prakash Chauhan, Director, IIRS and Shri Tapan Misra, Director, Space Applications Centre/ISRO for their constant encouragement and guidance during the study. This study was carried out as a part of the ARISE project funded by ISRO, authors are grateful for the same. Authors are also thankful to Dr. Vyas Pandey, Professor and Rucha Dave, Asst. Prof., Department of Agrometeorology, AAU for their support in carrying out this program.

Disclosure statement

No potential conflict of interest was reported by the authors.