Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022
Descripción del Articulo
The estimation and variation of the vegetation cover of the Amazon forest generated by anthropic activity in Huepetuhe had the purpose of estimating the loss of vegetation and the deforestation rates for an Amazon forest, the study was carried out using Landsat 8 satellite images, the treatment of t...
| Autores: | , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2024 |
| Institución: | Universidad Nacional del Altiplano |
| Repositorio: | Revista de Investigaciones Altoandinas |
| Lenguaje: | español |
| OAI Identifier: | oai:huajsapata.unap.edu.pe:article/579 |
| Nivel de acceso: | acceso abierto |
| Materia: | Amazon forest Landsat 8 oli Vegetation cover Manú Bosque amazónico Google Earth engine Landsat 8 oli Cobertura vegetal |
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Revista de Investigaciones Altoandinas |
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| dc.title.none.fl_str_mv |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 Uso de Google Earth Engine para la estimación y variación de la cobertura vegetal del bosque amazónico generada por la actividad antropica en Huepetuhe periodo 2016 al 2022 |
| title |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 |
| spellingShingle |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 Estrada Zuñiga, Andrés Corsino Amazon forest Landsat 8 oli Vegetation cover Manú Bosque amazónico Google Earth engine Landsat 8 oli Cobertura vegetal Manú |
| title_short |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 |
| title_full |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 |
| title_fullStr |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 |
| title_full_unstemmed |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 |
| title_sort |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022 |
| dc.creator.none.fl_str_mv |
Estrada Zuñiga, Andrés Corsino Estrada Zuñiga, Andrés Corsino La Torre Auccasi, Frank Alexander Mendoza Pacheco, Gledys Josseline Ttito Nina, James William OllachicaValverde, Meidi Palomino Villa, Tula |
| author |
Estrada Zuñiga, Andrés Corsino |
| author_facet |
Estrada Zuñiga, Andrés Corsino La Torre Auccasi, Frank Alexander Mendoza Pacheco, Gledys Josseline Ttito Nina, James William OllachicaValverde, Meidi Palomino Villa, Tula |
| author_role |
author |
| author2 |
La Torre Auccasi, Frank Alexander Mendoza Pacheco, Gledys Josseline Ttito Nina, James William OllachicaValverde, Meidi Palomino Villa, Tula |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Amazon forest Landsat 8 oli Vegetation cover Manú Bosque amazónico Google Earth engine Landsat 8 oli Cobertura vegetal Manú |
| topic |
Amazon forest Landsat 8 oli Vegetation cover Manú Bosque amazónico Google Earth engine Landsat 8 oli Cobertura vegetal Manú |
| description |
The estimation and variation of the vegetation cover of the Amazon forest generated by anthropic activity in Huepetuhe had the purpose of estimating the loss of vegetation and the deforestation rates for an Amazon forest, the study was carried out using Landsat 8 satellite images, the treatment of the raster images was made using the ERDAS software, the images were subjected to geometric and radiometric corrections, for this purpose control points were taken on the ground, for the analysis four categories of forest degradation were established: Forest with null vegetation with presence of bare soil, forest with sparse vegetation, forest with moderate vegetation and total area of deterioration. The results from the analysis of the multispectral images and the NDVI show that compared to 2016, 30.1 ha increased in the forest category with no vegetation, 28.8 ha in forests with sparse vegetation, 236.9 ha for forests with moderate vegetation and the area of global deterioration increased by 295.8 ha. The annual deforestation rate was 5% (6.02 ha/year) for forests with no vegetation and presence of bare soil and 9% (59.16 ha/year) for global degradation, the coefficient of determination for forests with no vegetation and area naked was R2=0.9704, and for global deterioration of the forest R2=0.957. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-05-02 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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//huajsapata.unap.edu.pe/index.php/ria/article/view/579 10.18271/ria.2024.579 |
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//huajsapata.unap.edu.pe/index.php/ria/article/view/579 10.18271/ria.2024.579 |
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spa |
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spa |
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//huajsapata.unap.edu.pe/index.php/ria/article/view/579/343 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad Nacional del Altiplano |
| publisher.none.fl_str_mv |
Universidad Nacional del Altiplano |
| dc.source.none.fl_str_mv |
Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 26 No. 2 (2024); 79-85 Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 26 Núm. 2 (2024); 79-85 2306-8582 2313-2957 reponame:Revista de Investigaciones Altoandinas instname:Universidad Nacional del Altiplano instacron:UNAP |
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Universidad Nacional del Altiplano |
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UNAP |
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UNAP |
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Revista de Investigaciones Altoandinas |
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Revista de Investigaciones Altoandinas |
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1833562493021061120 |
| spelling |
Use of Google Earth Engine for the estimation and variation of the vegetable cover of the amazon forest generated by anthropic activity in Huepetuhe period 2016 to 2022Uso de Google Earth Engine para la estimación y variación de la cobertura vegetal del bosque amazónico generada por la actividad antropica en Huepetuhe periodo 2016 al 2022Estrada Zuñiga, Andrés Corsino Estrada Zuñiga, Andrés Corsino La Torre Auccasi, Frank AlexanderMendoza Pacheco, Gledys JosselineTtito Nina, James WilliamOllachicaValverde, MeidiPalomino Villa, TulaAmazon forestLandsat 8 oliVegetation coverManúBosque amazónicoGoogle Earth engine Landsat 8 oliCobertura vegetalManúThe estimation and variation of the vegetation cover of the Amazon forest generated by anthropic activity in Huepetuhe had the purpose of estimating the loss of vegetation and the deforestation rates for an Amazon forest, the study was carried out using Landsat 8 satellite images, the treatment of the raster images was made using the ERDAS software, the images were subjected to geometric and radiometric corrections, for this purpose control points were taken on the ground, for the analysis four categories of forest degradation were established: Forest with null vegetation with presence of bare soil, forest with sparse vegetation, forest with moderate vegetation and total area of deterioration. The results from the analysis of the multispectral images and the NDVI show that compared to 2016, 30.1 ha increased in the forest category with no vegetation, 28.8 ha in forests with sparse vegetation, 236.9 ha for forests with moderate vegetation and the area of global deterioration increased by 295.8 ha. The annual deforestation rate was 5% (6.02 ha/year) for forests with no vegetation and presence of bare soil and 9% (59.16 ha/year) for global degradation, the coefficient of determination for forests with no vegetation and area naked was R2=0.9704, and for global deterioration of the forest R2=0.957.La estimación y variación de la cobertura vegetal del bosque amazónico generada por la actividad antrópica en Huepetuhe tuvo por finalidad estimar las pérdidas de vegetación y las tasas de deforestación para para un bosque amazónico, el estudio se realizó utilizando la herramienta Google Earth Engine e imágenes satelitales Landsat 8, para el tratamiento de las imágenes ráster se utilizó el software ERDAS y ArcGis, las imágenes fueron sometidas a correcciones geométricas y radiométricas, para ello se tomaron puntos de control el tierra, para el análisis se estableció cuatro categorías de degradación del bosque: Bosque con vegetación nula con presencia de suelo desnudo, Bosque con vegetación escasa, Bosque con vegetación moderada y área total de deterioro. Los resultados a partir del análisis de las imágenes multiespectrales y el NDVI muestra que respecto al año 2016 se incrementó 30.1ha en la categoría bosque con vegetación nula, 28.8 ha en los bosques con vegetación escasa, 236.9 ha para bosques de vegetación moderada y el área de deterioro global se incrementó en 295.8 ha. La tasa de deforestación anual fue del 5% (6.02 ha/año) para bosque con vegetación nula y presencia de suelo desnudo y del 9% (59.16 ha/año) para degradación global, el coeficiente de determinación para bosques con vegetación nula y área desnuda fue de R2=0.9704, y para deterioro global del bosque R2=0.957.Universidad Nacional del Altiplano2024-05-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdf//huajsapata.unap.edu.pe/index.php/ria/article/view/57910.18271/ria.2024.579Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 26 No. 2 (2024); 79-85Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 26 Núm. 2 (2024); 79-852306-85822313-2957reponame:Revista de Investigaciones Altoandinasinstname:Universidad Nacional del Altiplanoinstacron:UNAPspa//huajsapata.unap.edu.pe/index.php/ria/article/view/579/343Derechos de autor 2024 Andrés Corsino Estrada Zuñiga, Frank Alexander La Torre Auccasi, Gledys Josseline Mendoza Pacheco, James William Ttito Nina, Meidi OllachicaValverde, Tula Palomino Villahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:huajsapata.unap.edu.pe:article/5792024-06-10T18:08:22Z |
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13.952076 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
