Accuracy assessment of the national forest inventory map of mexico: Sampling designs and the fuzzy characterization of landscapes [evaluación de confiabilidad del mapa del inventario forestal nacional 2000: Diseños de muestreo y caracteriz
Por:
Couturier S., Vega A., Mas J.-F., Tapia V., López-Granados E.
Publicada:
1 ene 2008
Resumen:
There is no record so far in the literature of a comprehensive method to assess the accuracy of regional scale Land Cover/Land Use (LCLU) maps in the sub-tropical belt. The elevated biodiversity and the presence of highly fragmented classes hamper the use of sampling designs commonly employed in previous assessments of mainly temperate zones. A sampling design for assessing the accuracy of the Mexican National Forest Inventory (NFI) map at community level is presented. A pilot study was conducted on the Cuitzeo Lake watershed region covering 400 000 ha of the 2000 Landsat-derived map. Various sampling designs were tested in order to find a trade-off between operational costs, a good spatial distribution of the sample and the inclusion of all scarcely distributed classes ('rare classes'). A two-stage sampling design where the selection of Primary Sampling Units (PSU) was done under separate schemes for commonly and scarcely distributed classes, showed best characteristics. A total of 2 023 punctual secondary sampling units were verified against their NFI map label. Issues regarding the assessment strategy and trends of class confusions are devised.
Filiaciones:
Laboratorio de Análisis Geo-Espacial (LAGE), Instituto de Geografía, Universidad Nacional Autónoma de México, Coyoacán, 04510, D.F., Mexico
Centro de Investigaciones en Geografía Ambiental (CIGA), Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro No. 8701, Col. Ex Hacienda de San José de la Huerta, 58190, Morelia Michoacán, Mexico
Instituto de Investigaciones Metalürgicas, Universidad Michoacana de San Nicolás de Hidalgo, Mexico
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