Resource information

Date of publication: 
December 2015
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Full and effective participation of indigenous peoples and local communities, and high accuracy estimates are two current requirements for the purposes of monitoring forests at international level. We produced two land cover maps, both of which were based on digital image processing (decision trees) using Rapideye imagery, and a land cover participatory map, for indigenous territories of eastern Panama. Accuracy of the three maps was evaluated using field data. Classification that was based on participatory mapping gave best overall accuracy of 83.7% (κ = 0.783), followed by the decision tree that included textural variables (DT2: overall accuracy of 79.9%, κ = 0.757). We have demonstrated for the first time that local knowledge can improve land cover classification and facilitate the identification of forest degradation. The plea of the UNFCC for the full and effective participation of local and indigenous people could, therefore, improve the accuracy of monitoring.

Authors and Publishers

Author(s), editor(s), contributor(s): 
Vergara‐Asenjo, Gerardo Sharma, Divya Potvin, Catherine
Publishing Company

Wiley-Blackwell is the international scientific, technical, medical, and scholarly publishing business of John Wiley & Sons. It was formed by the merger of John Wiley's Global Scientific, Technical, and Medical business with Blackwell Publishing, after Wiley took over the latter in 2007.[1]

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