Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru

Dry forests are ecosystems of great importance worldwide, but in recent decades they have been affected by climate change and changes in land use. In this study, we evaluated land use and land cover changes (LULC) in dry forests in Peru between 2017 and 2021 using Sentinel-2 images, and cloud proces...

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Main Authors: Barboza, Elgar, Salazar Coronel, Wilian, Gálvez Paucar, David, Valqui Valqui, Lamberto, Valqui, Leandro, Zagaceta, Luis H., Gonzales, Jhony, Vásquez, Héctor V., Arbizu, Carlos I.
Format: info:eu-repo/semantics/article
Language:Inglés
Published: International Information and Engineering Technology Association (IIETA) 2024
Subjects:
Online Access:http://hdl.handle.net/20.500.12955/2627
https://doi.org/10.18280/ijei.070312
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author Barboza, Elgar
Salazar Coronel, Wilian
Gálvez Paucar, David
Valqui Valqui, Lamberto
Valqui, Leandro
Zagaceta, Luis H.
Gonzales, Jhony
Vásquez, Héctor V.
Arbizu, Carlos I.
author_browse Arbizu, Carlos I.
Barboza, Elgar
Gonzales, Jhony
Gálvez Paucar, David
Salazar Coronel, Wilian
Valqui Valqui, Lamberto
Valqui, Leandro
Vásquez, Héctor V.
Zagaceta, Luis H.
author_facet Barboza, Elgar
Salazar Coronel, Wilian
Gálvez Paucar, David
Valqui Valqui, Lamberto
Valqui, Leandro
Zagaceta, Luis H.
Gonzales, Jhony
Vásquez, Héctor V.
Arbizu, Carlos I.
author_sort Barboza, Elgar
collection Repositorio INIA
description Dry forests are ecosystems of great importance worldwide, but in recent decades they have been affected by climate change and changes in land use. In this study, we evaluated land use and land cover changes (LULC) in dry forests in Peru between 2017 and 2021 using Sentinel-2 images, and cloud processing with Machine Learning (ML) models. The results reported a mapping with accuracies above 85% with an increase in bare soil, urban areas and open dry forest, and reduction in the area of crops and dense dry forest. Protected natural areas lost 2.47% of their conserved surface area and the areas with the greatest degree of land use impact are located in the center and north of the study area. The study provides information that can help in the management of dry forests in northern Peru.
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id INIA2627
institution Institucional Nacional de Innovación Agraria
language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher International Information and Engineering Technology Association (IIETA)
publisherStr International Information and Engineering Technology Association (IIETA)
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spelling INIA26272024-12-27T05:37:03Z Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru Barboza, Elgar Salazar Coronel, Wilian Gálvez Paucar, David Valqui Valqui, Lamberto Valqui, Leandro Zagaceta, Luis H. Gonzales, Jhony Vásquez, Héctor V. Arbizu, Carlos I. Remote Sensing (RS) Biodiversity Random Forest (RF) forest monitoring Google Earth Engine (GEE) https://purl.org/pe-repo/ocde/ford#4.01.02 Dry forests Dry forests are ecosystems of great importance worldwide, but in recent decades they have been affected by climate change and changes in land use. In this study, we evaluated land use and land cover changes (LULC) in dry forests in Peru between 2017 and 2021 using Sentinel-2 images, and cloud processing with Machine Learning (ML) models. The results reported a mapping with accuracies above 85% with an increase in bare soil, urban areas and open dry forest, and reduction in the area of crops and dense dry forest. Protected natural areas lost 2.47% of their conserved surface area and the areas with the greatest degree of land use impact are located in the center and north of the study area. The study provides information that can help in the management of dry forests in northern Peru. We would like to thank the Dirección de Desarrollo Tecnológico Agropecuario – DDTA of the Instituto Nacional de Innovación Agraria – INIA. This research was conducted and financed mainly by CUI Project No 2253484 “Creación de un Servicio de Laboratorio de Agrostología de la Universidad Nacional Toribio Rodríguez de Mendoza” that was financed by Sistema Nacional de Inversión Pública (SNIP) of the Ministry of Economy and Finance (MEF) of Peru. Also, was supported by the Vice-Rectorate of Research of the Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas - UNTRM. 2024-12-27T05:37:03Z 2024-12-27T05:37:03Z 2024-09-30 info:eu-repo/semantics/article Barboza, E.; Salazar, W.; Gálvez-Paucar, D.; Valqui-Valqui, L.; Valqui, L.; Zagaceta, L. H.; Gonzales, J.; Vásquez, H. V.; & Arbizu, C. I. (2024). Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru. International Journal of Environmental Impacts, Vol. 7, No. 3, pp. 505-514. doi: 10.18280/ijei.070312 2398-2640 http://hdl.handle.net/20.500.12955/2627 https://doi.org/10.18280/ijei.070312 eng urn:issn:2398-2640 International Journal of Environmental Impacts info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf International Information and Engineering Technology Association (IIETA) GB Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
spellingShingle Remote Sensing (RS)
Biodiversity
Random Forest (RF)
forest monitoring
Google Earth Engine (GEE)
https://purl.org/pe-repo/ocde/ford#4.01.02
Dry forests
Barboza, Elgar
Salazar Coronel, Wilian
Gálvez Paucar, David
Valqui Valqui, Lamberto
Valqui, Leandro
Zagaceta, Luis H.
Gonzales, Jhony
Vásquez, Héctor V.
Arbizu, Carlos I.
Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru
title Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru
title_full Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru
title_fullStr Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru
title_full_unstemmed Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru
title_short Cloud computing application for the analysis of land use and land cover changes in dry forests of Peru
title_sort cloud computing application for the analysis of land use and land cover changes in dry forests of peru
topic Remote Sensing (RS)
Biodiversity
Random Forest (RF)
forest monitoring
Google Earth Engine (GEE)
https://purl.org/pe-repo/ocde/ford#4.01.02
Dry forests
url http://hdl.handle.net/20.500.12955/2627
https://doi.org/10.18280/ijei.070312
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