Título:	Selective logging detection in the Brazilian Amazon
Autor(es):	Costa, Olívia Bueno da Matricardi, Eraldo Aparecido Trondoli Pedlowski, Marcos Antonio Miguel, Eder Pereira Gaspar, Ricardo de Oliveira
ORCID:	http://orcid.org/0000-0002-6739-8135 http://orcid.org/0000-0002-5323-6100 http://orcid.org/0000-0003-3949-8240 http://orcid.org/0000-0001-6259-4594 http://orcid.org/0000-0002-2035-2180
Assunto:	Amazônia Legal Geoprocessamento Degradação ambiental
Data de publicação:	2019
Editora:	Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
Referência:	COSTA, Olívia Bueno da et al. Selective Logging Detection in the Brazilian Amazon. Floresta e Ambiente, v. 26, n. 2, e20170634, 2019. DOI: https://doi.org/10.1590/2179-8087.063417. Disponível em: http://scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200114. Acesso em: 23 jan. 2020.
Abstract:	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, Pará, and Rondônia 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 Rondônia, which indicates a stage high forest activity in these regions. In contrast, in Eastern state of Pará, 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.
Licença:	(CC BY) - Creative Commons License. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License.
DOI:	https://doi.org/10.1590/2179-8087.063417
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