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Three minimum-error land cover classifiers are compared on coarse resolution MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance data for discerning between vegetation and settlement classes. It is shown that good class separability can be achieved using only the seasonal component of Normalized Difference Vegetation Index (NDVI) data, or the mean component of several other MODIS...
In this paper, a change detection accuracy comparison is made between a recently proposed EKF method and a sliding window Fast Fourier Transform (FFT) alternative within a spatio-temporal change detection framework. Both methods produce a mean and amplitude parameter sequence which is then used to determine a change metric which yield a change of no-change decision after thresholding. The objective...
Land cover change, especially deforestation, is a priority issue for policymakers at the local, national and international scale. Deforestation's contribution of up to 20% of global green-house gas emissions is already well known; the loss of biodiversity from land conversion is also well established [7, 13]. Policymakers at the UN Framework Convention on Climate Change negotiations are addressing...
Remote sensing plays a key role in monitoring the quality and coverage of the tropical forests, and for early warning of illegal logging and forest degradation. We propose a hidden Markov model based methodology for analyzing time series of remote sensing images of tropical forests with the aim of detecting changes in the spatial coverage of the forest. Two different methods are investigated; the...
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