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Assessing the spatial variation of cropping intensity using multi-temporal Sentinel-2 data by rule-based classification

Author

Listed:
  • Argha Ghosh

    (Department of Agricultural Meteorology and Physics)

  • Manoj K. Nanda

    (Department of Agricultural Meteorology and Physics)

  • Debolina Sarkar

    (Department of Agricultural Meteorology and Physics)

Abstract

The present study was conducted to analyze cropping intensity of four blocks (Mogra-Chinsurah, Polba-Dadpur, Singur and Haripal) of the Gangetic alluvial zone of India using multi-dated Sentinel-2 data in 2018–19 cropping year. It was observed that during peak growing stage all crops ascribed higher Normalized Difference Vegetation Index NDVI values (0.4 to 0.73) and NDVI became as low as 0.06 when the fields were vacant. Sentinel-2 data acquired in the peak crop growing period during each cropping season were carefully selected, and NDVI was computed over the whole study area. Rule-based classification was applied for cropping sequence and cropping intensity classification based on the occurrence and non-occurrence of crops using NDVI threshold (0.4). Sentinel-2 images acquired on 22/10/2018, 6/12/2018, 30/1/2019 and 30/4/2019 were used for masking of trees and non-agricultural area. October 22, January 30 and April 30 imageries demonstrated peak crop growing period during kharif, rabi and pre-kharif seasons whereas December 6 image represented occurrence of no or little crop in the study area. Crop acreage was the highest in Polba-Dadpur block during all the three seasons. The crop–fallow—crop sequence occupied the highest areas (43%) followed by crop–crop–crop sequence (39%). 50% and 39% of the total cultivated land was under 200% and 300% cropping intensities. Overall, accuracies of cropping system and cropping intensity classification were 88.54% and 87.85%, respectively. Sentinel-2 data can be successfully used for cropping system analysis which helps in crop planning and management.

Suggested Citation

  • Argha Ghosh & Manoj K. Nanda & Debolina Sarkar, 2022. "Assessing the spatial variation of cropping intensity using multi-temporal Sentinel-2 data by rule-based classification," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10829-10851, September.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:9:d:10.1007_s10668-021-01885-0
    DOI: 10.1007/s10668-021-01885-0
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    References listed on IDEAS

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    1. Deb Kumar Maity & Sujit Mandal, 2019. "Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semi-quantitative approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 1013-1034, April.
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