Selective Logging Detection in the Brazilian Amazon

被引：7

作者：

da Costa, Olivia Bueno ^{[1
]}

Trondoli Matricardi, Eraldo Aparecido ^{[1
]}

Pedlowski, Marcos Antonio ^{[2
]}

Miguel, Eder Pereira ^{[1
]}

Gaspar, Ricardo de Oliveira ^{[1
]}

机构：

[1] Univ Brasilia UNB, Brasilia, DF, Brazil

[2] Univ Estadual N Fluminen, Campos dos Goytacazes, RJ, Brazil

来源：

FLORESTA E AMBIENTE | 2019年 / 26卷 / 02期

关键词：

Legal Amazon; geoprocessing and forest degradation; FOREST; FIRE; DEFORESTATION; TRANSITION;

D O I：

10.1590/2179-8087.063417

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

Selective logging activities are commonly observed in the Brazilian Amazon and are responsible for high forest impact. In this study, selective logging detection techniques and the spatiotemporal extension of forests impacted by logging activities between 2003 and 2014 in portions of the states of Mato Grosso, Para, and Rondonia were assessed using remotely sensing data. Based on results obtained, it was estimated that the overall accuracies are greater than 91% for techniques applied to detect forests impacted by selective logging in the study areas. Forests impacted by selective logging increased in Western state of Mato Grosso and Northern state of Rondonia, which indicates a stage high forest activity in these regions. In contrast, in Eastern state of Para, a decrease in forests impacted by logging activities was observed, which indicates collapsed stage of logging activities resulting from deforestation and predatory logging in that region.

引用

页数：10

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