Impact of Knowledge-based Techniques on the Analysis of Medium-resolution Satellite Images of the Amazon
نویسندگان
چکیده
This present work evaluates the use of knowledge-based techniques for the analysis of medium-resolution satellite images of the Amazon, and estimates the impact they may bring to the task of mapping the deforestation in this region by. Landsat images of Rondônia State were submitted to a supervised classification; the editing of these classifications, an usually manual process that depends totally on the knowledge and experience of the analyst, was then performed using a knowledge base implemented in eCognition. The results showed that more than 30% of the editing step could be automated using these techniques, increasing the efficiency of the deforestation mapping from Landsat images in the study area.
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