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Downscaling regional crop yields to local scaleusing remote sensing

Author: Shirsath, P.B.
Author: Sehgal, V.K.
Author: Aggarwal, P.K.
Year: 2020
ISSN: 2077-0472 (Print)
URI: https://hdl.handle.net/10883/20939
Format: PDF
Language: English
Publisher: MDPI
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Basel (Switzerland)
Issue: 3
Issue: art. 58
Volume: 10
DOI: 10.3390/agriculture10030058
Description: Local-scale crop yield datasets are not readily available in most of the developing world. Local-scale crop yield datasets are of great use for risk transfer and risk management in agriculture. In this article, we present a simple method for disaggregation of district-level production statistics over crop pixels by using a remote sensing approach. We also quantified the error in the disaggregated statistics to ascertain its usefulness for crop insurance purposes. The methodology development was attempted in Parbhani district of Maharashtra state with wheat and sorghum crops in the winter season. The methodology uses the ratio of Enhanced Vegetation Index (EVI) of pixel to total EVI of the crop pixels in that district corresponding to the growth phase of the crop. It resulted in the generation of crop yield maps at the 500 m resolution pixel (grid) level. The methodology was repeated to generate time-series maps of crop yield. In general, there was a good correspondence between disaggregated crop yield and sub-district level crop yields with a correlation coefficient of 0.9.
Agrovoc: CROP YIELD
Agrovoc: REMOTE SENSING
Agrovoc: PRODUCTION STATISTICS
Journal: Agriculture


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  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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