Assessing the spatial distribution of crop production using a generalized cross-entropy approach | Land Portal

Informations sur la ressource

Date of publication: 
janvier 2004
ISBN / Resource ID: 
62291
Pages: 
32 pages
Copyright details: 
IFPRI adheres to the basic tenets of the Budapest Open Access Initiative, articulated in 2002 (subject to any applicable third-party rights and or confidentiality obigations). All applicable data are subject to IFPRI’s Institutional Review Board (IRB) guidelines. Copyright © 2013 International Food Policy Research Institute (IFPRI). All rights reserved.

While agricultural production statistics are reported on a geopolitical – often national - basis we often need to know the status of production or productivity within specific sub-regions, watersheds, or agro-ecological zones. Such re-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to making spatially disaggregated assessments of the distribution of crop production. Using this approach tabular crop production statistics are blended judiciously with an array of other secondary data to assess the production of specific crops within individual ‘pixels’ – typically 25 to 100 square kilometers in size. The information utilized includes crop production statistics, farming system characteristics, satellite-derived land cover data, biophysical crop suitability assessments, and population density. An application is presented in which Brazilian state level production statistics are used to generate pixel level crop production data for eight crops. To validate the spatial allocation we aggregated the pixel estimates to obtain synthetic estimates of municipio level production in Brazil, and compared those estimates with actual municipio statistics. The approach produced extremely promising results. We then examined the robustness of these results compared to short-cut approaches to spatializing crop production statistics and showed that, while computationally intensive, the cross-entropy method does provide more reliable estimates of crop production patterns.

Auteurs et éditeurs

Author(s), editor(s), contributor(s): 

You, Liangzhi
Wood, Stanley

Publisher(s): 

About IFPRI


The International Food Policy Research Institute (IFPRI) provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries. Established in 1975, IFPRI currently has more than 500 employees working in over 50 countries. It is a research center of theCGIAR Consortium, a worldwide partnership engaged in agricultural research for development.


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About IFPRI


The International Food Policy Research Institute (IFPRI) provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries. Established in 1975, IFPRI currently has more than 500 employees working in over 50 countries. It is a research center of theCGIAR Consortium, a worldwide partnership engaged in agricultural research for development.


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