@InProceedings{ShimabukuroBeuGreSimAch:2014:AsBuAr,
author = "Shimabukuro, Yosio Edemir and Beuchle, R. and Grecchi, R. C. and
Simonetti, D. and Achard, F.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Joint
Research Centre of the European Commission, Institute for
Environment and Sustainability (IES)Ispra, Italy and Joint
Research Centre of the European Commission, Institute for
Environment and Sustainability (IES)Ispra, Italy and Arcadia SIT,
Joint Research Centre of the European Commission, Institute for
Environment and Sustainability (IES)Ispra, Italy and Joint
Research Centre of the European Commission, Institute for
Environment and Sustainability (IES)Ispra, Italy",
title = "Assessment of burned areas in Mato Grosso State, Brazil, from a
systematic sample of medium resolution satellite imagery",
booktitle = "Proceedings...",
year = "2014",
pages = "4257--4259",
organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
publisher = "IEEE",
keywords = "Brazilian Amazon, Burned areas, Landsat TM, Sampling approach.",
abstract = "This paper presents a method for mapping and assessing burned
areas at a regional scale, using a systematic sample of medium
spatial resolution satellite images (Landsat). The State of Mato
Grosso, located in the Brazilian Amazon region, comprising an area
of approximately 903,366 km, was selected for this study. 77
sample sites (20km x 20km in size) located at each full degree
confluence of latitude and longitude were analyzed. The results
showed that 52,663 km or approximately 5.8% of the State land
cover was burned in 2010. Our method produced results comparable
with PanAmazonia Project data and useful for evaluating burned
area products based on coarse spatial resolution imagery like
MODIS or SPOT-VEGETATION.",
conference-location = "Quebec City",
conference-year = "13-18 July 2014",
doi = "10.1109/IGARSS.2014.6947429",
url = "http://dx.doi.org/10.1109/IGARSS.2014.6947429",
isbn = "9781479957750",
label = "scopus 2015-01 ShimabukuroBeuGreSimAch:2014:AsBuAr",
language = "en",
organisation = "The Institute of Electrical and Electronics Engineers Geoscience
and Remote Sensing Society (IEEE GRSS)",
targetfile = "06947429yosio.pdf",
urlaccessdate = "19 abr. 2024"
}