Geo-spatial Assessment of Rainfall Impact on Kharif Rice Area Estimation in Chhattisgarh Using Sentinel-1A

This research uses satellite-based remote sensing and GIS approaches to examine the association between South-West monsoon rainfall and kharif rice acreage in Chhattisgarh. Planning for agriculture requires an awareness of rainfall variability since the state depends on rain-fed rice farming. Using rainfall data and microwave remote sensing, the research examines rice acreage trends at the district and block levels during the 2017 and 2019 monsoon seasons. Significant regional variation in rice response to rainfall is shown by the data, with the majority of places exhibiting positive correlations and others—particularly blocks that are wooded and prone to drought—displaying negative or unusual responses. The results highlight how crucial localized farming practices and early warning systems are to reducing climate- related hazards and promoting food security in rural areas that rely on rainfall.

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Publication Details

Journal
International Journal of Plant & Soil Science
Published
2025-06-03
DOI
https://doi.org/10.9734/ijpss/2025/v37i65498
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Geo-spatial Assessment of Rainfall Impact on Kharif Rice Area Estimation in Chhattisgarh Using Sentinel-1A

M Dhanapriya, S Gowtham
International Journal of Plant & Soil Science
Remote Sensing in Agriculture
article

Geo-spatial Assessment of Rainfall Impact on Kharif Rice Area Estimation in Chhattisgarh Using Sentinel-1A

M Dhanapriya, S Gowtham
article en

Abstract

This research uses satellite-based remote sensing and GIS approaches to examine the association between South-West monsoon rainfall and kharif rice acreage in Chhattisgarh. Planning for agriculture requires an awareness of rainfall variability since the state depends on rain-fed rice farming. Using rainfall data and microwave remote sensing, the research examines rice acreage trends at the district and block levels during the 2017 and 2019 monsoon seasons. Significant regional variation in rice response to rainfall is shown by the data, with the majority of places exhibiting positive correlations and others—particularly blocks that are wooded and prone to drought—displaying negative or unusual responses. The results highlight how crucial localized farming practices and early warning systems are to reducing climate- related hazards and promoting food security in rural areas that rely on rainfall.

International Journal of Plant & Soil ScienceVol. 37(6)
Birla Institute of Technology, Mesra (IN), National Remote Sensing Centre (IN)
Openalex Percentile: Top 87%
Remote Sensing in Agriculture
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