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Evaluating agricultural activity dynamics over the Uttar Pradesh state of India using satellite-based datasets

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Abstract

Climate change and anthropogenic activities (changes in rainfall and temperature pattern) activities have significantly affected agricultural activity and crop production. So, studying cropland greenness and crop yield trends is essential to understand their impacts and to ensure food security. The present study attempted to depict the cropland greenness and wheat yield trends in Uttar Pradesh (UP) state, India, during 2001–2019. The Moderate Resolution Imaging Spectroradiometer (MODIS) based Normalised Difference Vegetation Index (NDVI) dataset was used to decipher the cropland greenness trends through the Mann-Kendall (MK) test. Furthermore, the wheat yield dataset from Baghel and Sharma (2022) was used to depict the wheat yield trends using the Thiel-Sen slope test from 2001 to 2019. The study’s results showed that ~ 37.3% (82,041 km2) area of the total agricultural land was with positive cropland greenness (NDVI) trend, and 1.67% (3673 km2) area was under a negative cropland greenness trend. On the other hand, ~ 8463 km2 (at 99% significance level) and 160,557 km2 (90% significance level) area corresponding to the ~ 4% and 73%, respectively, of the total agricultural land has shown positive (increasing) wheat yield trends during 2001–2019. In conclusion, the findings of this study emphasize the need for ongoing monitoring and a comprehensive understanding of cropland greenness and wheat yield trends over different agroclimatic zones. By gaining insights into these trends, policymakers and stakeholders can develop and implement effective mitigation and adaptation strategies to minimize the adverse effects of climate change and anthropogenic activities on agricultural systems.

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Acknowledgements

The authors thank the United States Geological Survey (USGS) for providing free access to the datasets used in this work. The climate engine cloud platform is acknowledged for providing cloud-based computing facilities. Authors thanks to anonymous reviewers for their constructive comments.

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  1. Dr. APJ Abdul Kalam Technical University, Lucknow, 226031, UP, India

    Ranjan Baghel & Pankaj Sharma

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  1. Ranjan Baghel
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Baghel, R., Sharma, P. Evaluating agricultural activity dynamics over the Uttar Pradesh state of India using satellite-based datasets. Trop Ecol (2023). https://doi.org/10.1007/s42965-023-00320-x

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