Title :
Mapping and monitoring land cover in Acre State, Brazilian Amazônia, using multitemporal remote sensing data
Author :
Shimabukuro, Yosio E. ; Duarte, Valdete ; Arai, Egidio ; Freitas, Ramon M. ; Martini, Paulo R. ; Lima, André
Author_Institution :
Inst. Nac. de Pesquisas Espaciais (INPE), Sao Jose dos Campos, Brazil
Abstract :
This paper presents the use of multitemporal remote sensing data for monitoring land cover changes in Acre State, Brazilian Amazonia. The 2000 Landsat ETM+, the 1990 Landsat TM, and 1980 Landsat MSS were used. The 2005 and 2007 MODIS images were also used to map deforestation occurred during the recent years and to map burned areas occurred in the 2005 dry year. The Landsat and MODIS images were converted to vegetation, soil, and shade fraction images. Then land cover maps were obtained by digital classification of these fraction images. The deforestation increased 7, 114 km2 from 1980 to 1990, 4, 900 km2 from 1990 to 2000, and 3, 258 km2 from 2000 to 2007. It also showed that about 2, 815 km2 of regrowth areas were observed in the 2000 ETM+ images. The analysis of MODIS images showed that 3, 700 km2 of deforested areas and 2, 800 km2 of forested areas were burned in Acre State in 2005. These information are critical for regional and global environmental studies and for efforts to control such burning and deforestation in the future.
Keywords :
image classification; terrain mapping; vegetation; vegetation mapping; 1980 Landsat MSS data; 1990 Landsat TM data; 2000 Landsat ETM data; AD 1980 to 1990; AD 1990 to 2000; AD 2000 to 2007; Acre State; Brazilian Amazonia; Landsat images; MODIS images; deforestation mapping; fraction image digital classification; land cover mapping; land cover monitoring; multitemporal remote sensing data; shade fraction images; soil fraction images; vegetation fraction images; Image converters; Image generation; MODIS; Pixel; Remote monitoring; Remote sensing; Satellites; Soil; Spatial resolution; Vegetation mapping; Amazonia region; Landsat data; digital classification; land cover map; multitemporal analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417325