Use of the linear spectral mixture model in the Saracá-Taquera National Forest

Detalhes bibliográficos
Autor(a) principal: Sato, Michel Keisuke
Data de Publicação: 2021
Outros Autores: Corrêa Soares, João Almiro, Rocha, Bruna Naiara, Furtado Lima, Cássio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Ciências Agrárias (Belém. Online)
Texto Completo: https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3424
Resumo: The Saracá-Taquera Conservation Unit is one of the most exuberant National Forests, rich in biodiversity and with a high potential for the use of natural resources. The objective of this study was to identify signs from forest exploiting and activities with potential for degradation in the Saracá-Taquera National Forest (FLONA-ST), using the linear spectral mixture model (LSMM) in an image recorded in 2020. The study was carried out at FLONA-ST, located in the mesoregion of the Lower Amazon. The images were acquired with the Geological Service of the United States. The collected scenes, 228/061 and 229/061, were submitted to compositions of bands 6, 5, and 4 of Landsat 8, mosaic, and the image clipping corresponding to the area of FLONA. The LSMM was applied and the Spectral Index of Forest Degradation (DEGRADI) was determined. Then, the technique of slicing and vectoring of images was applied, for further classification based on visual interpretation. The use of LSMM and DEGRADI were able to identify the deforested areas in FLONA-ST. In general, FLONA was predominant in areas covered with dense and heterogeneous vegetation. However, areas with exposed soil were observed in the central, north, northeast, southeast, and south parts, whether intended for mining, agricultural activities, housing, or for the exploitation of forest resources in FLONA. The forest exploitation in FLONA was observed, mostly, within the Forest Management Units, where exploration caused by disordered and geometric selective logging was found.
id UFRA_460ddc4f1f7176aa252d00fe81eb2913
oai_identifier_str oai:ojs.www.periodicos.ufra.edu.br:article/3424
network_acronym_str UFRA
network_name_str Revista de Ciências Agrárias (Belém. Online)
repository_id_str
spelling Use of the linear spectral mixture model in the Saracá-Taquera National ForestUse of the linear spectral mixture model in the Saracá-Taquera National Forestfraction-imageforage index spectral indexlandsat 8remote senseForest ProtectionRemote SensingSpectral Mixture Linear ModelDigital Image ProcessingSpectral Index of Forest Degradationimagem-fraçãoíndice espectral de degradação florestallandsat 8sensoriamento remotoProteção FlorestalSensoriamento RemotoModelo Linear de Mistura EspectralProcessamento Digital de ImagensÍndice Espectral de Degradação FlorestalThe Saracá-Taquera Conservation Unit is one of the most exuberant National Forests, rich in biodiversity and with a high potential for the use of natural resources. The objective of this study was to identify signs from forest exploiting and activities with potential for degradation in the Saracá-Taquera National Forest (FLONA-ST), using the linear spectral mixture model (LSMM) in an image recorded in 2020. The study was carried out at FLONA-ST, located in the mesoregion of the Lower Amazon. The images were acquired with the Geological Service of the United States. The collected scenes, 228/061 and 229/061, were submitted to compositions of bands 6, 5, and 4 of Landsat 8, mosaic, and the image clipping corresponding to the area of FLONA. The LSMM was applied and the Spectral Index of Forest Degradation (DEGRADI) was determined. Then, the technique of slicing and vectoring of images was applied, for further classification based on visual interpretation. The use of LSMM and DEGRADI were able to identify the deforested areas in FLONA-ST. In general, FLONA was predominant in areas covered with dense and heterogeneous vegetation. However, areas with exposed soil were observed in the central, north, northeast, southeast, and south parts, whether intended for mining, agricultural activities, housing, or for the exploitation of forest resources in FLONA. The forest exploitation in FLONA was observed, mostly, within the Forest Management Units, where exploration caused by disordered and geometric selective logging was found.A unidade de conservação Saracá-Taquera está entre as Florestas Nacionais mais exuberantes, com alta biodiversidade e potencial de uso dos recursos naturais. O objetivo desse estudo foi identificar as cicatrizes de exploração florestal e as atividades com potencial de degradação na Floresta Nacional de Saracá-Taquera (FLONA-ST), com o uso do modelo linear de mistura espectral (MLME) em imagem registrada no ano de 2020. O estudo foi realizado na FLONA-ST, localizado na mesorregião do Baixo Amazonas. A aquisição das imagens foi feita junto ao Serviço Geológico dos Estados Unidos. As cenas coletadas, 228/061 e 229/061, foram submetidas a composições das bandas 6, 5 e 4 do Landsat 8, mosaico e o recorte da imagem correspondente a área da FLONA. Foi aplicado o MLME e determinado o Índice Espectral de Degradação Florestal (DEGRADI). Em seguida, foi aplicada a técnica de fatiamento e vetorização de imagens, para posterior classificação com base na interpretação visual. O uso do MLME e do DEGRADI foram adequados para identificar as áreas desmatadas na FLONA-ST. De maneira geral, a FLONA apresentou predominância em áreas cobertas com vegetação densa e heterogênea. No entanto, áreas com solo exposto foram observadas nas porções central, norte, nordeste, sudeste e sul, seja destinada a mineração, atividades agropecuárias, habitação ou para exploração dos recursos florestais da FLONA. A exploração florestal na FLONA foi observada, em sua maioria, dentro das Unidades de Manejo Florestal, sendo detectado exploração por corte seletivo desordenado e geométrico.Universidade Federal Rural da Amazônia/UFRA2021-10-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext; Imagetexto; imagemapplication/pdfhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/3424Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 64 (2021): RCA AJAESRevista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 64 (2021): RCA AJAES2177-87601517-591Xreponame:Revista de Ciências Agrárias (Belém. Online)instname:Universidade Federal Rural da Amazônia (UFRA)instacron:UFRAporhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/3424/1628Copyright (c) 2021 Michel Keisuke Sato, João Almiro Corrêa Soares, Bruna Naiara Rocha, Cássio Furtado Limahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSato, Michel KeisukeCorrêa Soares, João AlmiroRocha, Bruna Naiara Furtado Lima, Cássio2021-10-28T18:21:40Zoai:ojs.www.periodicos.ufra.edu.br:article/3424Revistahttps://ajaes.ufra.edu.br/index.php/ajaes/PUBhttps://ajaes.ufra.edu.br/index.php/ajaes/oaiallan.lobato@ufra.edu.br || ajaes.suporte@gmail.com2177-87601517-591Xopendoar:2021-10-28T18:21:40Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA)false
dc.title.none.fl_str_mv Use of the linear spectral mixture model in the Saracá-Taquera National Forest
Use of the linear spectral mixture model in the Saracá-Taquera National Forest
title Use of the linear spectral mixture model in the Saracá-Taquera National Forest
spellingShingle Use of the linear spectral mixture model in the Saracá-Taquera National Forest
Sato, Michel Keisuke
fraction-image
forage index spectral index
landsat 8
remote sense
Forest Protection
Remote Sensing
Spectral Mixture Linear Model
Digital Image Processing
Spectral Index of Forest Degradation
imagem-fração
índice espectral de degradação florestal
landsat 8
sensoriamento remoto
Proteção Florestal
Sensoriamento Remoto
Modelo Linear de Mistura Espectral
Processamento Digital de Imagens
Índice Espectral de Degradação Florestal
title_short Use of the linear spectral mixture model in the Saracá-Taquera National Forest
title_full Use of the linear spectral mixture model in the Saracá-Taquera National Forest
title_fullStr Use of the linear spectral mixture model in the Saracá-Taquera National Forest
title_full_unstemmed Use of the linear spectral mixture model in the Saracá-Taquera National Forest
title_sort Use of the linear spectral mixture model in the Saracá-Taquera National Forest
author Sato, Michel Keisuke
author_facet Sato, Michel Keisuke
Corrêa Soares, João Almiro
Rocha, Bruna Naiara
Furtado Lima, Cássio
author_role author
author2 Corrêa Soares, João Almiro
Rocha, Bruna Naiara
Furtado Lima, Cássio
author2_role author
author
author
dc.contributor.author.fl_str_mv Sato, Michel Keisuke
Corrêa Soares, João Almiro
Rocha, Bruna Naiara
Furtado Lima, Cássio
dc.subject.por.fl_str_mv fraction-image
forage index spectral index
landsat 8
remote sense
Forest Protection
Remote Sensing
Spectral Mixture Linear Model
Digital Image Processing
Spectral Index of Forest Degradation
imagem-fração
índice espectral de degradação florestal
landsat 8
sensoriamento remoto
Proteção Florestal
Sensoriamento Remoto
Modelo Linear de Mistura Espectral
Processamento Digital de Imagens
Índice Espectral de Degradação Florestal
topic fraction-image
forage index spectral index
landsat 8
remote sense
Forest Protection
Remote Sensing
Spectral Mixture Linear Model
Digital Image Processing
Spectral Index of Forest Degradation
imagem-fração
índice espectral de degradação florestal
landsat 8
sensoriamento remoto
Proteção Florestal
Sensoriamento Remoto
Modelo Linear de Mistura Espectral
Processamento Digital de Imagens
Índice Espectral de Degradação Florestal
description The Saracá-Taquera Conservation Unit is one of the most exuberant National Forests, rich in biodiversity and with a high potential for the use of natural resources. The objective of this study was to identify signs from forest exploiting and activities with potential for degradation in the Saracá-Taquera National Forest (FLONA-ST), using the linear spectral mixture model (LSMM) in an image recorded in 2020. The study was carried out at FLONA-ST, located in the mesoregion of the Lower Amazon. The images were acquired with the Geological Service of the United States. The collected scenes, 228/061 and 229/061, were submitted to compositions of bands 6, 5, and 4 of Landsat 8, mosaic, and the image clipping corresponding to the area of FLONA. The LSMM was applied and the Spectral Index of Forest Degradation (DEGRADI) was determined. Then, the technique of slicing and vectoring of images was applied, for further classification based on visual interpretation. The use of LSMM and DEGRADI were able to identify the deforested areas in FLONA-ST. In general, FLONA was predominant in areas covered with dense and heterogeneous vegetation. However, areas with exposed soil were observed in the central, north, northeast, southeast, and south parts, whether intended for mining, agricultural activities, housing, or for the exploitation of forest resources in FLONA. The forest exploitation in FLONA was observed, mostly, within the Forest Management Units, where exploration caused by disordered and geometric selective logging was found.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
text; Image
texto; imagem
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3424
url https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3424
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3424/1628
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural da Amazônia/UFRA
publisher.none.fl_str_mv Universidade Federal Rural da Amazônia/UFRA
dc.source.none.fl_str_mv Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 64 (2021): RCA AJAES
Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 64 (2021): RCA AJAES
2177-8760
1517-591X
reponame:Revista de Ciências Agrárias (Belém. Online)
instname:Universidade Federal Rural da Amazônia (UFRA)
instacron:UFRA
instname_str Universidade Federal Rural da Amazônia (UFRA)
instacron_str UFRA
institution UFRA
reponame_str Revista de Ciências Agrárias (Belém. Online)
collection Revista de Ciências Agrárias (Belém. Online)
repository.name.fl_str_mv Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA)
repository.mail.fl_str_mv allan.lobato@ufra.edu.br || ajaes.suporte@gmail.com
_version_ 1797231630363918336