This presentation explores how geospatial research combined with GIS and UAVs (drones) contributes to detecting acute deforestation in post-conflict societies, specifically in Aceh, Indonesia. The authors surveyed resettlement areas of demobilized GAM (Aceh Independent Movement) combatants in 2021 and 2022, employing the Ground-Truth Points Sampling method with UAV aerial photography. While deforestation in Aceh has been reported, inconsistent forest statistics complicate its analysis. For instance, while Aceh's total forest area is decreasing, data from the Tangse and Padang Tiji areas in Pidie districts suggest an increase, highlighting conflicting findings. Geospatial tools can bridge such data gaps. Although Landsat has monitored deforestation since 2004, its 30-meter spatial resolution limits detail. UAVs, however, provide high-resolution, up-to-date aerial imagery, enabling precise detection of deforestation boundaries, area estimation, and vegetation analysis. This approach offers critical insights into ongoing environmental degradation, facilitating more effective monitoring and response.