v. 10, nº 1 (2024) | Cristiane Scussel1; Sylvia Christina de Lima2; Amanda Leticia de Meneses Mendes3; Marina Barros Santander4; Anderson Targino da Silva Ferreira5; Jairo José Zocche6; Carlos Henrique Grohmann7; José Alberto Quintanilha8
This study examines the spatiotemporal changes in land cover and land use (LULUC) in the Araranguá River Watershed (ARW) in southern Santa Catarina, Brazil, from 2016 to 2023. Using Sentinel-2A satellite images, the RGB, NIR, and SWIR 1 bands were selected, and the EVI2, MNDWI, and NDBI indices were applied to identify eight LULUC classes. The images were classified using programming routines in Google Earth Engine (GEE), and validation was performed using data generated by the platform, achieving an overall accuracy of 93% for both years. The Native Forest class showed the most significant increase, growing by 1.62% over the seven years, while the Built Area class experienced the highest growth, and the Pasture/Herbaceous Vegetation class decreased by 5.6%. The results reveal slight changes in the landscape, with areas of native forests being maintained and urban expansion occurring. These findings can assist public policymakers and decision-makers in managing the basin's territory with a focus on conservation and preservation of natural resources.This study examines the spatiotemporal changes in land cover and land use (LULUC) in the Araranguá River Watershed (ARW) in southern Santa Catarina, Brazil, from 2016 to 2023. Using Sentinel-2A satellite images, the RGB, NIR, and SWIR 1 bands were selected, and the EVI2, MNDWI, and NDBI indices were applied to identify eight LULUC classes. The images were classified using programming routines in Google Earth Engine (GEE), and validation was performed using data generated by the platform, achieving an overall accuracy of 93% for both years. The Native Forest class showed the most significant increase, growing by 1.62% over the seven years, while the Built Area class experienced the highest growth, and the Pasture/Herbaceous Vegetation class decreased by 5.6%. The results reveal slight changes in the landscape, with areas of native forests being maintained and urban expansion occurring. These findings can assist public policymakers and decision-makers in managing the basin's territory with a focus on conservation and preservation of natural resources.