Tracing shifting cultivation in the Nam Ton watershed (Lao PDR) by multispectral image-to-image change detection techniques with statistical verification

by Stijn Cleemput
Master thesis
Date of Examination:2005-08-18
Date of issue:2020-10-02
Advisor:Christoph Feldkötter
Referee:Prof. Dr. Christoph Kleinn
Referee:Uwe Muus
Persistent Address: http://dx.doi.org/10.53846/goediss-8234

 

 

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Abstract

English

When looking for critical areas in the context of erosion and degradation in Laos, the regions that are affected by shifting cultivation are prior and most distinct visual. Up to now the distribution and extent of these areas is still unknown. This makes it unclear whether the extent and distribution of this practice has a cause in the further depletion of Laos natural forest resources. In order to find more accurate figures, the following study compares different satellite remote sensing techniques that monitor shifting cultivation. An unsupervised classification method of a tasseled cap transformation has a best overall accuracy of 84.5% in comparison with unsupervised classification according to principal components analysis (81.9%) and vegetation indexing (71.4%). It is concluded that the applied techniques are very useful applications in the monitoring of shifting cultivation in the catchments in Laos. This is due to their fast delivery of timely and accurate relevant information.
Keywords: degradation; erosion; forest resources; principal components analysis; shifting cultivation; tasseled cap transformation
 
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