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Spatio-Temporal Agricultural Drought Monitoring Using Remote Sensing Indices

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Advancement of GI-Science and Sustainable Agriculture

Part of the book series: GIScience and Geo-environmental Modelling ((GGM))

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Abstract

Drought is an intricate weather phenomenon; it directly affects food security and agricultural productivity. Accurate prediction of agricultural drought helps to take mitigation steps for reducing production losses. In the present study, agricultural drought was assessed by using the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI) based on Landsat 8 and 9 data from 2013–2022. The LULC maps were also prepared using the supervised classification based on the maximum likelihood algorithm by the semi-automatic classification plugin (SCP) in QGIS from Sentinel-2 images. The remote sensing indices were calculated using a raster calculator in ArcGIS software. The results of VCI indicate that 2014 and 2017 years were highly affected by drought, whereas 2016 was the most vulnerable year according to TCI. In 2017, the entire district was badly affected by VCI and TCI. The VHI results showed that 2015, 2016, and 2018 were the most drought-prone years. The spatial agricultural drought result shows that Chattna, Bankura I, Onda, and Ranibudh were extreme drought-affected blocks. Drought greatly impacts agriculture, so satellite-based drought data would benefit the understanding of the drought of Bankura district risk within the entire geographical area.

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Authors and Affiliations

  1. Civil Engineering Department, Ballari Institute of Technology and Management, Ballari, Karnataka, India

    Syed Sadath Ali

  2. Department of Geography, Rampurhat College, PO. Rampurhat, Dist. Birbhum, Rampurhat, West Bengal, 731224, India

    Koyel Mukherjee

  3. Department of Geography and Applied Geography, University of North Bengal, PO. North Bengal University, Dist. Darjeeling, Siliguri, West Bengal, 734013, India

    Papia Kundu & Piu Saha

Authors
  1. Syed Sadath Ali
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  2. Koyel Mukherjee
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  3. Papia Kundu
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  4. Piu Saha
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Correspondence to Piu Saha .

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Editors and Affiliations

  1. Geography, Rampurhat College, Rampurhat, West Bengal, India

    Jayanta Das

  2. Kaliachak College/Dpt. of Geography, Kaliachak College, Kaliachak, West Bengal, India

    Somenath Halder

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Ali, S.S., Mukherjee, K., Kundu, P., Saha, P. (2023). Spatio-Temporal Agricultural Drought Monitoring Using Remote Sensing Indices. In: Das, J., Halder, S. (eds) Advancement of GI-Science and Sustainable Agriculture. GIScience and Geo-environmental Modelling. Springer, Cham. https://doi.org/10.1007/978-3-031-36825-7_4

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