@InProceedings{ShimabukuroDuArFrMaLi:2009:MaMoLa,
author = "Shimabukuro, Yosio Edemir and Duarte, Valdete and Arai, Egidio and
Freitas, Ramon Morais de and Martini, Paulo Roberto and Lima,
Andr{\'e}",
affiliation = "undefined and undefined and undefined and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and undefined and undefined",
title = "Mapping and monitoring land cover in Acre State, Brazilian
Amaz{\^o}nia, using multitemporal remote sensing data",
booktitle = "Proceedings...",
year = "2009",
pages = "IV248--IV251",
organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
publisher = "IEEE",
keywords = "Amazonia, Digital classification, Land cover, Land cover map,
LANDSAT, Multi-temporal analysis, Deforestation, Geology,
Landforms, Radiometers, Remote sensing, Spectrometers, Data
handling.",
abstract = "This paper presents the use of multitemporal remote sensing data
for monitoring land cover changes in Acre State, Brazilian
Amaz{\^o}nia. 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.",
conference-location = "Cape Town",
conference-year = "12 - 17 July 2009",
doi = "10.1109/IGARSS.2009.5417325",
url = "http://dx.doi.org/10.1109/IGARSS.2009.5417325",
isbn = "9781424433957",
label = "lattes: 1958394372634693 3 GoltzArcAguRudMae:2009:DAMITR",
language = "en",
organisation = "The Institute of Electrical and Electronics Engineers; Geoscience
and Remote Sensing Society",
targetfile = "0400248ari.pdf",
volume = "4",
urlaccessdate = "15 jan. 2021"
}