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Crop-Type Classification Using Sentinel-2A and in Situ Data: Case Study of Shri Dungargarh Taluk of Rajasthan, India

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Smart Technologies for Energy, Environment and Sustainable Development, Vol 2 (ICSTEESD 2020)

Part of the book series: Springer Proceedings in Energy ((SPE))

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Abstract

India has two main types of crops Kharif and Rabi. Rabi crops are sown and harvested in winters (October–March). Remote sensing technique helps to identify and monitor crop health and production. This will help to the agriculturalist, resource managers and planners to provide best decision and achieve the agricultural sustainability. Sentinel-2A and field data were used to identify crop types based on supervised classification (maximum likelihood classifier) approach. For growing season 2019–20 classification results were achieved. The overall accuracy was 87.50%. The main challenge of the present study was to classify wheat, mustard, gram and other crops at high accuracies.

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Authors and Affiliations

  1. Geo-Informatics, Civil Engineering Department, Graphic Era (Deemed to be University), Dehradun, Uttrakhand, India

    Pritam K. Meshram, Kishan Singh Rawat & Sanjeev Kumar

  2. K. Banerjee Centre of Atmospheric Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Prayagraj, Uttar Pradesh, India

    Sudhir Kumar Singh

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  1. Pritam K. Meshram
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  2. Kishan Singh Rawat
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  3. Sanjeev Kumar
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  4. Sudhir Kumar Singh
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Science, University of Agder, Kristiansand, Norway

    Mohan Lal Kolhe

  2. Department of Mechanical Engineering, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India

    S. B. Jaju

  3. Department of Electrical Engineering, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India

    P. M. Diagavane

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Meshram, P.K., Rawat, K.S., Kumar, S., Singh, S.K. (2022). Crop-Type Classification Using Sentinel-2A and in Situ Data: Case Study of Shri Dungargarh Taluk of Rajasthan, India. In: Kolhe, M.L., Jaju, S.B., Diagavane, P.M. (eds) Smart Technologies for Energy, Environment and Sustainable Development, Vol 2. ICSTEESD 2020. Springer Proceedings in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-16-6879-1_18

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  • DOI: https://doi.org/10.1007/978-981-16-6879-1_18

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