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<p>Drought is a prolonged shortage of water due to below-normal rainfall, and when such water deficits occur during critical stages of crop growth, they lead to agricultural drought and potentially severe crop losses. In Vidarbha, where drought poses a significant threat to agriculture, this study aims to evaluate crop health using remote sensing-based indices. The spatiotemporal variations of the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) sourced from the Mahalanobis National Crop Forecast Centre (MNCFC), Department of Agriculture, Cooperation and Farmers Welfare, Government of India, were analyzed from 2006 to 2021 at the sub-district level. Drought severity was evaluated using the Vegetation Condition Index (VCI), derived from NDVI, across multiple years. Seasonal NDVI, NDWI, and VCI were analyzed for kharif and rabi seasons using aggregated monthly data. Trend analysis using linear regression and the Mann-Kendall test showed positive trends across most tehsils, especially during rabi, supported by rising gram and wheat yields in Chandrapur. During the rabi seasons of 2013-14, 2016-17, 2017-18, 2019-20, and 2020-21 showed relatively higher NDWI values, consistent with enhanced NDVI, underscoring the linkage between vegetation health and water availability. A strong, significant (<i>p</i> &lt; 0.01) positive correlation between NDVI and NDWI in July and September observed. These findings highlight the importance of remote sensing-based indices for timely and accurate crop health monitoring to mitigate the impacts of agricultural drought.</p>

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Subdistrict-level drought assessment of agricultural lands in Vidarbha, Maharashtra, India using remote sensing-based indices

  • 期刊论文

  • 发表日期：

    2026年1月10日

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  • Anurag R. Marwade,
  • Amit G. Dhorde,
  • Swapnil S. Vyas

摘要

Drought is a prolonged shortage of water due to below-normal rainfall, and when such water deficits occur during critical stages of crop growth, they lead to agricultural drought and potentially severe crop losses. In Vidarbha, where drought poses a significant threat to agriculture, this study aims to evaluate crop health using remote sensing-based indices. The spatiotemporal variations of the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) sourced from the Mahalanobis National Crop Forecast Centre (MNCFC), Department of Agriculture, Cooperation and Farmers Welfare, Government of India, were analyzed from 2006 to 2021 at the sub-district level. Drought severity was evaluated using the Vegetation Condition Index (VCI), derived from NDVI, across multiple years. Seasonal NDVI, NDWI, and VCI were analyzed for kharif and rabi seasons using aggregated monthly data. Trend analysis using linear regression and the Mann-Kendall test showed positive trends across most tehsils, especially during rabi, supported by rising gram and wheat yields in Chandrapur. During the rabi seasons of 2013-14, 2016-17, 2017-18, 2019-20, and 2020-21 showed relatively higher NDWI values, consistent with enhanced NDVI, underscoring the linkage between vegetation health and water availability. A strong, significant (p < 0.01) positive correlation between NDVI and NDWI in July and September observed. These findings highlight the importance of remote sensing-based indices for timely and accurate crop health monitoring to mitigate the impacts of agricultural drought.