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Mapping Mexico's Forest Lands with Advanced Very High Resolution Radiometer
Author(s) -
David J. Evans,
Zhiliang Zhu,
Susan Eggen-McIntosh,
Pedro García Mayoral,
Jose Luis Ornelas de Anda
Publication year - 1992
Language(s) - English
Resource type - Reports
DOI - 10.2737/so-rn-367
Subject(s) - advanced very high resolution radiometer , remote sensing , land cover , pixel , cloud cover , geography , agriculture , radiometer , high resolution , radiometry , forest inventory , cloud computing , cartography , forestry , land use , environmental science , computer science , forest management , artificial intelligence , archaeology , civil engineering , satellite , aerospace engineering , engineering , operating system
Data from the Advanced Very High Resolution Radiometer (AVHRR) were used in a program sponsored by the U.S. Department of Agriculture, Forest Service, and the United Nations Food and Agriculture Organization to help scientists from Mexico generate forest-cover maps of that country. Two near-cloud-free composite images were generated for December and March 1990 from AVHRR Local Area Coverage data sets. A supervised training and classification technique was used to process data in nine physiographic regions of the country. Regional classifications were combined to produce the final map. Classification accuracy for 60 test polygons was 78 percent correct for the polygons and 84 percent correct as evaluated by pixels in selected polygons. More detailed physiographic or ecologic partitioning of the country was cited as a way to improve results of the classification technique used in this study.

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