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| You, Liangzhi; Wood, Stanley. |
| 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... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Entropy; Cross entropy; Remote sensing; Spatial allocation; Production; Crop distribution; Crop Production/Industries. |
| Ano: 2004 |
URL: http://purl.umn.edu/60324 |
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