The authors would like to acknowledge the funding of the Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT) through the Project with Contract N? 026-2016 Círculo de Investigación para la Innovación y el fortalecimiento de la cadena de valor del cacao nativo fino de aroma en la zona nor oriental del Perú-CINCACAO, and the support and execution of this project by the Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES).

Monitoring land use and land cover (LULC) changes is essential due to its close relationship with ecological processes, land-use planning, and environmental sustainability. In the Jucusbamba River sub-basin (Amazonas, Peru), knowledge of spatial transitions and cover change dynamics remains limited. This study analyzed LULC changes from 1992 to 2022 using Landsat and Sentinel satellite imagery classified with the Random Forest algorithm on the Google Earth Engine (GEE) platform. Additionally, future scenarios for 2037 and 2052 were simulated using the MOLUSCE plugin along with Artificial Neural Networks (ANN). Five main land cover classes were the followings: urban areas, pasture and cropland mosaics, forests, grasslands, and secondary shrub/herbaceous vegetation. Between 1992 and 2022, pasture/cropland mosaics increased by 24.36% and urban areas by 0.76%, while forests and secondary veg...