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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| Format: | info:eu-repo/semantics/article |
| Language: | Inglés |
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International Information and Engineering Technology Association (IIETA)
2024
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12955/2627 https://doi.org/10.18280/ijei.070312 |
| _version_ | 1855028846004273152 |
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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. |
| format | info:eu-repo/semantics/article |
| 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) |
| record_format | dspace |
| 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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