Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015

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This project presents a methodology to identify deforestation in the Matahuayo sector. Tahuayo, which arises from the problem of the expansion of deforestation in tropical forests from Peru. The main objective of this study is to implement a methodology that allows detecting and quantify the defores...

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Detalles Bibliográficos
Autores: Choccña, Michel, Rojas, Joel, Guerrero, Jhon, Badaracco, Rolando
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/25730
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/25730
Nivel de acceso:acceso abierto
Materia:Deforestation
Amazonian forests
Landsat
biophysical indices
Tasseled Cap
PCA
Deforestación
bosques amazónicos
índices biofísicos
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oai_identifier_str oai:ojs.csi.unmsm:article/25730
network_acronym_str REVUNMSM
network_name_str Revistas - Universidad Nacional Mayor de San Marcos
repository_id_str
dc.title.none.fl_str_mv Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
Análisis de la deforestación en el sector de Matahuayo-Tahuayo (Loreto) mediante imágenes de sensores TM, ETM+ y OLI durante el período 2007-2015
title Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
spellingShingle Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
Choccña, Michel
Deforestation
Amazonian forests
Landsat
biophysical indices
Tasseled Cap
PCA
Deforestación
bosques amazónicos
Landsat
índices biofísicos
Tasseled Cap
PCA
title_short Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
title_full Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
title_fullStr Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
title_full_unstemmed Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
title_sort Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015
dc.creator.none.fl_str_mv Choccña, Michel
Rojas, Joel
Guerrero, Jhon
Badaracco, Rolando
Choccña, Michel
Rojas, Joel
Guerrero, Jhon
Badaracco, Rolando
author Choccña, Michel
author_facet Choccña, Michel
Rojas, Joel
Guerrero, Jhon
Badaracco, Rolando
author_role author
author2 Rojas, Joel
Guerrero, Jhon
Badaracco, Rolando
author2_role author
author
author
dc.subject.none.fl_str_mv Deforestation
Amazonian forests
Landsat
biophysical indices
Tasseled Cap
PCA
Deforestación
bosques amazónicos
Landsat
índices biofísicos
Tasseled Cap
PCA
topic Deforestation
Amazonian forests
Landsat
biophysical indices
Tasseled Cap
PCA
Deforestación
bosques amazónicos
Landsat
índices biofísicos
Tasseled Cap
PCA
description This project presents a methodology to identify deforestation in the Matahuayo sector. Tahuayo, which arises from the problem of the expansion of deforestation in tropical forests from Peru. The main objective of this study is to implement a methodology that allows detecting and quantify the deforested areas in the aforementioned sector, located in the department of Loreto. 36 Landsat 5, 7 and 8 L1T level image data were used for the time 2007 - 2015 with spatial resolution of 30 m x 30 m. The implemented methodology consists of three phases: (i) The preprocessing stage, the radiometric correction was developed, the TOA reflectance was calculated and atmospheric correction to obtain the reflectance of the ground surface. (ii) In processing Spatial and temporal distribution maps were produced from different biophysical indices (NDVI, RVI) and transformations (Tasseled Cap, PCA) that constitute the compound of 18 synthetic bands and Through spectral separability we select the synthetic bands that are used as inputs in unsupervised K-means classification. (iii) In the post processing the contours were generated of deforested areas for each year of study. From the results obtained it can be indicate a reduction of extensive areas of Amazonian forests in the study sector for the period 2007-2015. Deforestation obtained in hectares per year presents a linear upward trend of 9635 ha/year.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/25730
10.15381/rif.v26i3.25730
url https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/25730
identifier_str_mv 10.15381/rif.v26i3.25730
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/25730/20128
dc.rights.none.fl_str_mv Derechos de autor 2023 Michel Choccña, Joel Rojas, Jhon Guerrero, Rolando Badaracco
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2023 Michel Choccña, Joel Rojas, Jhon Guerrero, Rolando Badaracco
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Revista de Investigación de Física; Vol. 26 No. 3 (2023); 6-16
Revista de Investigación de Física; Vol. 26 Núm. 3 (2023); 6-16
1728-2977
1605-7724
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Analysis of deforestation in the Matahuayo-Tahuayo sector (Loreto) using images from TM, ETM+ and OLI sensors during the period 2007-2015Análisis de la deforestación en el sector de Matahuayo-Tahuayo (Loreto) mediante imágenes de sensores TM, ETM+ y OLI durante el período 2007-2015Choccña, MichelRojas, JoelGuerrero, JhonBadaracco, RolandoChoccña, MichelRojas, JoelGuerrero, JhonBadaracco, RolandoDeforestationAmazonian forestsLandsatbiophysical indicesTasseled CapPCADeforestaciónbosques amazónicosLandsatíndices biofísicosTasseled CapPCAThis project presents a methodology to identify deforestation in the Matahuayo sector. Tahuayo, which arises from the problem of the expansion of deforestation in tropical forests from Peru. The main objective of this study is to implement a methodology that allows detecting and quantify the deforested areas in the aforementioned sector, located in the department of Loreto. 36 Landsat 5, 7 and 8 L1T level image data were used for the time 2007 - 2015 with spatial resolution of 30 m x 30 m. The implemented methodology consists of three phases: (i) The preprocessing stage, the radiometric correction was developed, the TOA reflectance was calculated and atmospheric correction to obtain the reflectance of the ground surface. (ii) In processing Spatial and temporal distribution maps were produced from different biophysical indices (NDVI, RVI) and transformations (Tasseled Cap, PCA) that constitute the compound of 18 synthetic bands and Through spectral separability we select the synthetic bands that are used as inputs in unsupervised K-means classification. (iii) In the post processing the contours were generated of deforested areas for each year of study. From the results obtained it can be indicate a reduction of extensive areas of Amazonian forests in the study sector for the period 2007-2015. Deforestation obtained in hectares per year presents a linear upward trend of 9635 ha/year.Este proyecto presenta una metodología para identificar la deforestación en el sector de Matahuayo-Tahuayo, que surge de la problemática de la expansión de la deforestación en los bosques tropicales de Perú. El objetivo principal de este estudio es implementar una metodología que permita detectar y cuantificar las áreas deforestadas en el mencionado sector, ubicado en el departamento de Loreto. Se emplearon 36 datos imágenes Landsat 5, 7 y 8 de nivel L1T para el tiempo 2007 - 2015 con resolución espacial de 30 m x 30 m. La metodología implementada, consiste en tres fases: (i) La etapa del preprocesamiento se desarrolló la corrección radiométrica, se calculó la reflectancia TOA y corrección atmosférica para obtener la reflectancia de la superficie del suelo. (ii) En el procesamiento se produjeron mapas de distribución espacial y temporal a partir de distintos índices biofísicos (NDVI, RVI) y transformaciones (Tasseled Cap, PCA) que constituyen el compuesto de 18 bandas sintéticas y mediante la separabilidad espectral seleccionamos las bandas sintéticas que se emplean como insumos en la clasificación no supervisada K-means. (iii) En el post procesamiento se generaron los contornos de las zonas deforestadas para cada año de estudio. A partir de los resultados obtenidos se puede indicar una reducción de extensas zonas de bosques amazónicos en el sector de estudio para el período 2007-2015. La deforestación obtenida en hectáreas por año presenta una tendencia lineal ascendente de 9635 ha/año.Universidad Nacional Mayor de San Marcos2023-12-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/2573010.15381/rif.v26i3.25730Revista de Investigación de Física; Vol. 26 No. 3 (2023); 6-16Revista de Investigación de Física; Vol. 26 Núm. 3 (2023); 6-161728-29771605-7724reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/25730/20128Derechos de autor 2023 Michel Choccña, Joel Rojas, Jhon Guerrero, Rolando Badaraccohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/257302024-03-27T17:50:39Z
score 13.7211075
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