• Pangaribuan, Humala
  The Graduate School University of Maine
  

Change detection is a major application of satellite remote sensing. The idea is to analyze change in spectral patterns over a particular geographic area at different points of time. The information might be gathered by different satellite platforms (multi-sensor), in various wavebands (multi-spectral) and on several acquisition dates (multi-temporal). Results from this study indicate that it is possible to use multi-temporal satellite change detection to monitor forest change and SPFA as a new change detection method shows promise to produce an acceptable level of classification accuracy. Further development of this method is suggested by incorporating a better approach to reduce the effects of false change due to the interpretation and quality of reference data and the procedures of processing multi-temporal images.