Clearing of native forest for plantation expansion is a significant component of land use change in many tropical
regions. The continuing expansion of plantations has many environmental consequences, including the loss and
fragmentation of habitat, alteration of nutrient cycling processes, reduction in environmentally sequestered carbon,
increased soil erosion and land degradation, and loss of biodiversity. The primary goal of this research was to
develop and test remote sensing methods to detect the expansion of plantations in the southern part of the Lao
People’s Democratic Republic (PDR). We used Landsat satellite imagery acquired between 2003 and 2012.
Principal component analysis (PCA) was applied to three Landsat temporal image pairs (2003-2006, 2006-2009 and
2009-2012) to identify areas of change. Change identification accuracy was evaluated by comparison against 1,240
random sample locations which had been independently classified from Google Earth imagery from 2006 and 2012.
It was found that one of the principal components detected change in areas of plantation in the study area, with
producer's accuracy of 92% and user's accuracy of 79%. This method was relatively easy to implement, involved no
image purchase costs, and could be used by ecologists or forestry managers seeking to monitor forest loss or
plantation expansion.
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