Cloud Computing Application for the Analysis of Land Use and Land Cover Changes in Dry Forests of Peru
Year: 2024
Type: article
Abstract: 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.
DOI: 10.18280/ijei.070312
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: gold
Estimated APC paid: $950
OpenAlex ID: W4403359628