@Article{RenóNovSueRenSil:2011:AsDeLo,
author = "Ren{\'o}, Vivian F. and Novo, Evlyn M{\'a}rcia Le{\~a}o de
Moraes and Suemitsu, Chieno and Renn{\'o}, Camilo Daleles and
Silva, Thiago S. F.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and UFPA-Universidade
Federal do Par{\'a}, Campus de Santar{\'e}m. Avenida Marechal
Rondon s/n. 68040-070, Santar{\'e}m-PA, Brazil and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Assessment of deforestation in the Lower Amazon floodplain using
historical Landsat MSS/TM imagery",
journal = "Remote Sensing of Environment",
year = "2011",
volume = "115",
number = "12",
pages = "3446--3456",
month = "Dec.",
keywords = "Amazon, Deforestation, Floodplain forest, Land cover change,
Landsat, Object-oriented analysis.",
abstract = "The floodplain forests bordering the Amazon River have outstanding
ecological, economic, and social importance for the region.
However, the original distribution of these forests is not well
known, since they have suffered severe degradation since the 16th
century. The previously published vegetation map of the Amazon
River floodplain (Hess et al., 2003), based on data acquired in
1996, shows enormous difference in vegetation cover classes
between the regions upstream and downstream of the city of Manaus.
The upper floodplain is mostly covered by forests, while the lower
floodplain is predominantly occupied by grasses and shrubs. This
study assesses deforestation in the Lower Amazon floodplain over a
~30 year period by producing and comparing a historical vegetation
map based on MSS/Landsat images acquired in the late 1970s with a
recent vegetation map produced from TM/Landsat images obtained in
2008. The maps were generated through the following steps: 1)
normalization and mosaicking of images for each decade; 2)
application of a linear mixing model transformation to produce
vegetation, soil and shade fraction-images; and 3) object-oriented
image analysis and classification. For both maps, the following
classes were mapped: floodplain forest, non-forest floodplain
vegetation, bare soil and open water. The two maps were combined
using object-level Boolean operations to identify time transitions
among the mapped classes, resulting in a map of the land cover
change occurred over ~30 years. Ground information collected at
168 ground points was used to build confusion matrices and
calculate Kappa indices of agreement. A survey strategy combining
field observations and interviews allowed the collection of
information about both recent and historical land cover for
validation purposes. Kappa values (0.77, 0.75 and 0.75) indicated
the good quality of the maps, and the error estimates were used to
adjust the estimated deforested area to a value of 3457 km2 ± 1062
km2 (95% CI) of floodplain deforestation over the ~30 years.",
doi = "10.1016/j.rse.2011.08.008",
url = "http://dx.doi.org/10.1016/j.rse.2011.08.008",
issn = "0034-4257",
label = "lattes: 9857505876280820 2 Ren{\'o}NovSueRenSil:2011:AsDeLo",
language = "en",
targetfile = "Reno-RemSenEnv-1-s2.0-S0034425711002902-main[1].pdf",
urlaccessdate = "17 jun. 2024"
}