N. L. Ekawati
Soil erosion, as a critical land parameter, disrupts ecosystem balance. In alignment with Sustainable Development Goal 15 (life on land), mitigating land degradation is essential for maintaining environmental quality. Erosion estimations are empirically influenced by climate (R), soil properties (K), slope (LS), also vegetation cover and conservation practices (CP). Remote sensing is used to estimate soil erosion, a phenomenon where soil material is transported by surface runoff, influenced by land-use changes driven by human activities. This study applies Random Forest classification to assess land-use as a CP-factor in estimating erosion rates in the Samin sub-watershed for 2017 and 2024, integrating spectral values from Landsat-8 and physical characteristics from Alos Palsar DSM. Samin sub-watershed, located upstream of Bengawan Solo watershed in Central Java, Indonesia, is part of volcanic landform of Lawu Volcano. R-factor was calculated for two distinct periods to account for its dynamic nature. The res