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Crop Assessment and Decision Support Information Products Using Multi-sensor and Multi-temporal Moderate Resolution Satellite Data

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Agriculture, Livestock Production and Aquaculture

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Abstract

The current study is focused on the crop inventory and crop assessment of agricultural fields of Madhya Pradesh state, with Taluk as a spatial unit using decision support information product because it gives precise information about the condition of crop in any area in terms of health or stress condition and biodiversity analysis and helps in monitoring crop management activities such as rehabilitation and abiotic factors like temperature and rainfall. The aim of this research is to improve methods for quantifying and verifying inventory-based carbon pool estimates for the tropical dry deciduous forests. In future, other methods and techniques will be found out to perform the analysis. The current study uses the satellite remote sensing data of LANDSAT-8 and RESOURCESAT-2 to generate the objective and study about Rabi season (November-December to April- May) in the year 2015–16. The study deals with crop yield estimation, spatial distribution, crop assessment, crop inventory, and developing decision support information product in the districts of Madhya Pradesh, i.e., Hoshangabad. Crop yield estimation and crop assessment of these districts are studied at the village as well as taluk level. The major Rabi season crops under study are wheat, jowar, and mustard. Spectral response-based model identifies different crop conditions of sensitive areas.

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Authors and Affiliations

  1. Department of Remote Sensing, Banasthali University, Newai, Tonk, Rajasthan, India

    Swati Katiyar

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  1. Swati Katiyar
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Editor information

Editors and Affiliations

  1. Rani Lakshmi Bai Central Agricultural University, Jhansi, India

    Arvind Kumar

  2. Wildlife Biology, College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, India

    Pavan Kumar

  3. Directorate of Extension Education, Rani Lakshmi Bai Central Agricultural University, Jhansi, India

    S. S. Singh

  4. Geospatial Information and Technologies for the Intelligent and Integrative Agriculture, Bogor Agricultural University, Bogor, Indonesia

    Bambang Hendro Trisasongko

  5. Department of Geography, Kumaun University, Nainital, India

    Meenu Rani

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Katiyar, S. (2022). Crop Assessment and Decision Support Information Products Using Multi-sensor and Multi-temporal Moderate Resolution Satellite Data. In: Kumar, A., Kumar, P., Singh, S.S., Trisasongko, B.H., Rani, M. (eds) Agriculture, Livestock Production and Aquaculture. Springer, Cham. https://doi.org/10.1007/978-3-030-93262-6_10

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