Classificação e mapeamento do uso e cobertura das terras da bacia hidrográfica do Rio Taperoá-PB utilizando o GoogleEarth Engine.

Abstract

Geotechnologies have been showing promise for the application of practice in the analysis of environmental data for terrestrial natural resources. Over time, the natural characteristics of the Taperoá River Basin located in a semi-arid region in the State of Paraíba, has been changing due to anthropogenic activities. The objective of this work was to classify the current land use and land cover using Sentinel-2 images. Four supervised classification algorithms available in Google Earth Engine (GEE) were applied. The results showed that the Random Forest (RF) decision tree-based classifier stood out over the other classifiers in both classification accuracy and visual inspection for land use and land cover. The Google Earth Engine platform demonstrated satisfactory performance in terms of computational processing, enabling the study of large-scale environmental data, allowing the identification of changes in land use and land cover.