Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Mapping forest successional stages following deforestation in Brazilian Amazonia using multi-temporal Landsat images
AU - Espirito-Santo, Fernando
AU - Shimabukuro, Yosio E.
AU - Kuplich, T. M.
PY - 2005/2/10
Y1 - 2005/2/10
N2 - 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.
AB - 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.
KW - TROPICAL FOREST
U2 - 10.1080/0143116042000274078
DO - 10.1080/0143116042000274078
M3 - Journal article
VL - 26
SP - 635
EP - 642
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
SN - 0143-1161
IS - 3
ER -