@InProceedings{VelascoGomezBeShGrSiEvAc:2015:LoPeDe,
author = "Velasco Gomez, M. Diana and Beuchle, Ren{\'e} and Shimabukuro,
Yosio Edemir and Grecchi, Rosana and Simonetti, Dario and Eva,
Hugh D. and Achard, Frederic",
affiliation = "European Commission, Joint Research Centre (JRC) and European
Commission, Joint Research Centre (JRC) and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and European Commission, Joint
Research Centre (JRC) and European Commission, Joint Research
Centre (JRC) and European Commission, Joint Research Centre (JRC)
and European Commission, Joint Research Centre (JRC)",
title = "A long-term perspective on deforestation rates in the Brazilian
Amazon",
booktitle = "Proceedings...",
year = "2015",
organization = "International Symposium on Remote Sensing of Environment, 36.",
keywords = "Arc of deforestation, Brazilian Amazon, Land cover change,
Landsat, Multi-temporal analysis, Systematic sample.",
abstract = "Monitoring tropical forest cover is central to biodiversity
preservation, terrestrial carbon stocks, essential ecosystem and
climate functions, and ultimately, sustainable economic
development. The Amazon forest is the Earth's largest rainforest,
and despite intensive studies on current deforestation rates,
relatively little is known as to how these compare to historic
(pre 1985) deforestation rates. We quantified land cover change
between 1975 and 2014 in the so-called Arc of Deforestation of the
Brazilian Amazon, covering the southern stretch of the Amazon
forest and part of the Cerrado biome. We applied a consistent
method that made use of data from Landsat sensors: Multispectral
Scanner (MSS), Thematic Mapper (TM), Enhanced Thematic Mapper Plus
(ETM+) and Operational Land Imager (OLI). We acquired suitable
images from the US Geological Survey (USGS) for five epochs: 1975,
1990, 2000, 2010, and 2014. We then performed land cover analysis
for each epoch using a systematic sample of 156 sites, each one
covering 10 km × 10 km, located at the confluence point of integer
degree latitudes and longitudes. An object-based classification of
the images was performed with five land cover classes: tree cover,
tree cover mosaic, other wooded land, other land cover, and water.
The automatic classification results were corrected by visual
interpretation, and, when available, by comparison with higher
resolution imagery. Our results show a decrease of forest cover of
24.2% in the last 40 years in the Brazilian Arc of Deforestation,
with an average yearly net forest cover change rate of-0.71% for
the 39 years considered.",
conference-location = "Berlin, Germany",
conference-year = "11-15 May",
urlaccessdate = "27 abr. 2024"
}