accuracy assessment of the national forest inventory map of mexico: sampling designs and the fuzzy characterization of landscapes
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2009
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Abstract
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.
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couturier2009investigacionesaccuracy
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| Authors | ;Stéphane Couturier;Álvaro Vega Guzmán;Jean François Mas;Valdemar Tapia;Erna López Granados |
| Journal | Physical chemistry chemical physics : PCCP |
| Year | 2009 |
| DOI |
10.14350/rig.17988
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