@Article{Espirito-SantoShimKupl:2005:MaFoSu,
author = "Espirito-Santo, F. D. B. and Shimabukuro, Yosio Edemir and
Kuplich, Tatiana Mora",
affiliation = "Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de
Sensoriamento Remoto (INPE, DSR)",
title = "Mapping forest successional stages following deforestation in
Brazilian Amazonia using multi-temporal Landsat images",
journal = "International Journal of Remote Sensing",
year = "2005",
volume = "26",
number = "3",
pages = "635--642",
month = "Feb",
keywords = "Classification (of information), Deforestation, Image sensors,
Mapping, Remote sensing, Satellite communication systems, Signal
detection, Enhanced thematic mapper plus (ETM+), Forest
successional stages, Satellite sensor imagery, Thematic mapper
(TM), Forestry, deforestation, land classification, Landsat
thematic mapper, satellite imagery, succession, vegetation
mapping, Classification, Deforestation, Forestry, Mapping, Remote
Sensing, Satellites, Amazonia, South America, Western Hemisphere,
World.",
abstract = "Tropical forest successional stages have been mapped previously
with multi-temporal satellite sensor imagery. The precise
identification and classification of such stages, however, has
proved difficult. This Letter presents a new method for the
classification of forest successional stages following
deforestation in Brazilian Amazonia. Multi-temporal Landsat
Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) and
derived fraction images and field data were used in a
semi-automatic classification approach. The results were
encouraging and signal the application of the method for the
entire Brazilian Amazonia.",
copyholder = "SID/SCD",
doi = "10.1080/0143116042000274078",
url = "http://dx.doi.org/10.1080/0143116042000274078",
issn = "0143-1161",
language = "en",
targetfile = "88.pdf",
urlaccessdate = "23 maio 2024"
}