@InProceedings{VitelBaMoCaGrFeLe:2013:LaChAn,
author = "Vitel, Claudia Suzanne Marie Nathalie and Barros, Heberton and
Moreira, Noeli and Carrero, Gabriel Cardoso and Gra{\c{c}}a,
Paulo Maur{\'{\i}}cio Lima de Alencastro and Fearnside, Philip
Martin and Leroy, Maya",
title = "Land-use change analysis in the Sete de Setembro Indigenous Land
(Rond{\^o}nia \& Mato Grosso, Brazil) using multi-temporal
Landsat images classification between 2000 and 2009",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "7164--7171",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Indigenous Lands that are under high risk of deforestation are
good candidates for REDD (Reduction of Emissions from
Deforestation and Forest Degradation). REDD proposes to reduce
deforestation and forest degradation through remuneration of
carbon benefits. To estimate avoided greenhouse gas (GHG)
emissions, the calculation is usually based on the most plausible
expected amount of deforestation/degradation based on a Land-Use
and Land-Cover Change (LULCC) reference scenario. One of the core
methodological steps of a LULCC reference (or baseline) scenario
is to evaluate the quantity of LULCC that occurred in a historical
period, and to identify the drivers of these changes in order to
understand how LULCC would evolve in a future period. The
objective of this study was to map annual land-cover/use classes
in the Sete de Setembro Indigenous Land (in Rond{\^o}nia and Mato
Grosso) between 2000 and 2009, and to extract LULCC rates to serve
as the basis for the Suru{\'{\i}} Forest Carbon Project LULCC
reference scenario. We applied a Maximum-Likelihood supervised
classification of multi-temporal Landsat-TM images to distinguish
five land-cover subclasses: 1-burned areas, 2-bare soil,
3-secondary vegetation, 4- forest and 5-water, and we then grouped
these subclasses to obtain three land-cover/use classes. In 2009,
3416.5 ha were vegetation in equilibrium, 240.033 ha were forest
and 230 ha were secondary vegetation. Applying a subtraction
calculation between consecutive land-cover/use maps, we obtained
an annual average of 154.7 ha of deforestation and 88 ha of
secondary vegetation clearing. Forest-cutting represents, on
average, 72% of LULCC, whereas secondary-vegetation clearing
represents 28%.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "13-18 abr. 2013",
isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
label = "1209",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GJR3",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GJR3",
targetfile = "p1209.pdf",
type = "Mudan{\c{c}}a de Uso e Cobertura da Terra",
urlaccessdate = "09 maio 2024"
}