Mapping and monitoring deforestation areas in Amazon region usingsemi-automatic classification of Landsat Thematic Mapper images
Shimabukuro, Y.E.; Duarte, V.; dos Santos, J.R.; Batista, G.T.
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Volume 5, Issue , 2000 Page(s):1999 - 2001 vol.5
Digital Object Identifier 10.1109/IGARSS.2000.858226
Summary:The INPE's operational project (PRODES) to estimate annual gross
deforestation in Amazon region based on manual analysis of 229 TM images
faces several problems during the interpretation process (variable
scales of different scenes, closing polygons in the interpretation maps
due to complexity of deforestation pattern). Thus, the availability of
results in a digital format has been restricted. This authors propose an
approach to map and monitor deforested areas in the Amazon using digital
analysis of TM/Landsat. This methodology will automate the PRODES manual
interpretation tasks and will build a GIS database. This approach was
developed and validated using TM image Path 231/067 (1997, 1998, and
1999) over Rondonia. The original TM bands were converted to vegetation,
soil, and shade fraction images applying a linear mixing model. The
selected fraction image was segmented using a region growing algorithm,
classified using a per region clustering algorithm and the results were
manually edited to generate the final map. Results showed 10,252
km2 of deforestation up to 1997; increments in the deforested
area for 1998 and 1999 were 695 and 388 km2, respectively. A
total of 1,149 km2 was burned in 1998 (only 16% in recent
clear cut areas). The proposed methodology is feasible and very useful
for global studies using fine resolution satellite data such as Landsat
TM
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