Trabalho Apresentado em Evento

Change Vector Analysis technique to monitor selective logging activities in Amazon

The lack of sustainability in the exploitation of the tropical Amazon forest has caused severely impacted environment and biodiversity. In this context, the objective of this study is to detect, characterize and quantify the forest areas affected by timber exploitation in the years 2001 and 2002. Th...

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Autor principal: Silva, P. G.
Outros Autores: Santos, João Roberto dos, Shimabukuro, Yosio Edemir, Souza, P. E U, Graça, Paulo Maurício Lima Alencastro de
Grau: Trabalho Apresentado em Evento
Idioma: English
Publicado em: International Geoscience and Remote Sensing Symposium (IGARSS) 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/19981
id oai:repositorio:1-19981
recordtype dspace
spelling oai:repositorio:1-19981 Change Vector Analysis technique to monitor selective logging activities in Amazon Silva, P. G. Santos, João Roberto dos Shimabukuro, Yosio Edemir Souza, P. E U Graça, Paulo Maurício Lima Alencastro de Ecosystems Forestry Image Analysis Vectors Change Vector Analysis (cva) Remote Sensing The lack of sustainability in the exploitation of the tropical Amazon forest has caused severely impacted environment and biodiversity. In this context, the objective of this study is to detect, characterize and quantify the forest areas affected by timber exploitation in the years 2001 and 2002. This research was developed in the north of the Mato Grosso state, Brazil, utilizing fraction images that were generated by a linear spectral mixture model referring to the mentioned years. Change vector analysis (CVA) was applied to the difference image of the fraction images from the two years. One image representing magnitude of change, and two images representing the angles of the change vectors were generated. These images are efficient for detection of intensity and type of change that occurred in the forested areas, which are subject to selective logging. 2020-06-16T17:29:10Z 2020-06-16T17:29:10Z 2003 Trabalho Apresentado em Evento https://repositorio.inpa.gov.br/handle/1/19981 en Volume 4, Pags. 2580-2582 Restrito International Geoscience and Remote Sensing Symposium (IGARSS)
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
topic Ecosystems
Forestry
Image Analysis
Vectors
Change Vector Analysis (cva)
Remote Sensing
spellingShingle Ecosystems
Forestry
Image Analysis
Vectors
Change Vector Analysis (cva)
Remote Sensing
Silva, P. G.
Change Vector Analysis technique to monitor selective logging activities in Amazon
topic_facet Ecosystems
Forestry
Image Analysis
Vectors
Change Vector Analysis (cva)
Remote Sensing
description The lack of sustainability in the exploitation of the tropical Amazon forest has caused severely impacted environment and biodiversity. In this context, the objective of this study is to detect, characterize and quantify the forest areas affected by timber exploitation in the years 2001 and 2002. This research was developed in the north of the Mato Grosso state, Brazil, utilizing fraction images that were generated by a linear spectral mixture model referring to the mentioned years. Change vector analysis (CVA) was applied to the difference image of the fraction images from the two years. One image representing magnitude of change, and two images representing the angles of the change vectors were generated. These images are efficient for detection of intensity and type of change that occurred in the forested areas, which are subject to selective logging.
format Trabalho Apresentado em Evento
author Silva, P. G.
author2 Santos, João Roberto dos
Shimabukuro, Yosio Edemir
Souza, P. E U
Graça, Paulo Maurício Lima Alencastro de
author2Str Santos, João Roberto dos
Shimabukuro, Yosio Edemir
Souza, P. E U
Graça, Paulo Maurício Lima Alencastro de
title Change Vector Analysis technique to monitor selective logging activities in Amazon
title_short Change Vector Analysis technique to monitor selective logging activities in Amazon
title_full Change Vector Analysis technique to monitor selective logging activities in Amazon
title_fullStr Change Vector Analysis technique to monitor selective logging activities in Amazon
title_full_unstemmed Change Vector Analysis technique to monitor selective logging activities in Amazon
title_sort change vector analysis technique to monitor selective logging activities in amazon
publisher International Geoscience and Remote Sensing Symposium (IGARSS)
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/19981
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score 11.687526