Evaluación multitemporal de la pérdida de cobertura vegetal en zonas rurales del cantón manta mediante herramientas geoespaciales

Justin Douglas  García García

doi:10.59169/pentaciencias.v8i3.1837

Authors

Justin Douglas García García Investigador independiente https://orcid.org/0009-0008-2210-4480

DOI:

https://doi.org/10.59169/pentaciencias.v8i3.1837

Keywords:

multi-temporal analysis; vegetation cover; deforestation; land management; geographic information systems; remote sensing

Abstract

This study assessed vegetation cover loss in the rural parishes of Santa Marianita and San Lorenzo, located in the Manta canton of Ecuador, using a multi-temporal approach based on geospatial tools. Landsat satellite images from 2000, 2010, 2020, and 2025 were processed using Geographic Information Systems (GIS) and the Normalized Difference Vegetation Index (NDVI) to identify and quantify changes in vegetation cover over time. The results showed a progressive decrease in areas with dense vegetation and an increase in areas with sparse or no vegetation cover, particularly in sectors near the coastal strip and areas with greater human intervention. Differences in the rate of change were also identified between the parishes analyzed, with a greater intensity of vegetation cover loss recorded in Santa Marianita compared to San Lorenzo. The creation of thematic maps allowed for the visualization of the spatial distribution of these transformations, providing relevant information for land-use planning and environmental management. In conclusion, multi-temporal analysis using remote sensing tools is an effective tool for monitoring vegetation cover and identifying critical areas of environmental degradation.

Downloads

Download data is not yet available.

References

Cepeda, R., Torres, F., & Ramírez, A. (2022). Evaluación multitemporal de la cobertura vegetal en el cantón Salcedo mediante imágenes satelitales. Revista Ciencia y Ambiente, 10(1), 25–42. https://investigacion.utc.edu.ec/index.php/ciya/article/view/443

Chuvieco, E., & Huete, A. (2010). Teledetección: Principios e instrumentos (3.ª ed.). Ediciones Rialp.

Food and Agriculture Organization (FAO). (2020). Global forest resources assessment 2020. FAO.

Frampton, W., McIntyre, N., & Pettorelli, N. (2023). Multitemporal analysis of land cover change using satellite remote sensing. Remote Sensing, 15(2), 305. https://doi.org/10.3390/rs15020305

Global Forest Watch. (2021). Datos globales de pérdida de cobertura arbórea 2020. https://www.globalforestwatch.org/blog/es/forest-insights/datos-globales-de-perdida-de-cobertura-arborea-2020/

Heras-Heras, M. C., Moreno-López, J. A., Quevedo-Amay, D. V., & Cuichan-Paucar, S. H. (2024). Pérdida de cobertura vegetal y los cambios de uso del suelo en la Amazonía ecuatoriana. Agroecología Global, 6(10), 90–105.

Intergovernmental Panel on Climate Change (IPCC). (2022). Climate change 2022: Impacts, adaptation and vulnerability. Cambridge University Press.

Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). (2023). Evaluación global sobre biodiversidad y servicios ecosistémicos. https://ipbes.net/global-assessment

Ministerio del Ambiente del Ecuador. (2018). Estrategia nacional de restauración forestal. Quito, Ecuador.

Ministerio del Ambiente, Agua y Transición Ecológica (MAATE). (2021). Informe del estado del ambiente en Ecuador.

Pettorelli, N., Vik, J. O., Mysterud, A., Gaillard, J. M., Tucker, C. J., & Stenseth, N. C. (2005). Using the satellite‐derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution, 20(9), 503–510. https://doi.org/10.1016/j.tree.2005.05.011

Sierra, R. (2013). Patrones y factores de deforestación en el Ecuador continental, 1990–2010. Conservación Internacional Ecuador.

Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127–150. https://doi.org/10.1016/0034-4257(79)90013-0

United States Geological Survey (USGS). (2023). Landsat missions. https://www.usgs.gov/landsat-missions

Uribe, J., Rodríguez, M., & Pérez, L. (2024). Análisis multitemporal de la cobertura vegetal mediante teledetección en zonas rurales del Ecuador. Revista Geoespacial, 15(2), 45–60. https://journal.espe.edu.ec/ojs/index.php/revista-geoespacial/article/download/3288/2710/14220

Vásquez Vásquez, B. M., & Delgado Siguencia, W. W. (2022). Evaluación de la presión antrópica sobre el Bosque Protector Aguarongo a través de un análisis multitemporal del cambio en la cobertura vegetal y uso de suelo [Tesis de grado, Universidad Politécnica Salesiana]. https://dspace.ups.edu.ec/handle/123456789/23550

Vicente Solórzano, J., Gallardo, A., & Peralta Carreta, C. (2020). Potencial del acervo de imágenes Landsat disponible en Google Earth Engine para el estudio del territorio mexicano. Investigaciones Geográficas, 2020(1), 1–17. https://doi.org/10.14350/rig.2020.1.1