| dc.description.abstract | The Sumatran Orangutan (Pongo abelii) is a critically endangered species
that heavily relies on feeding trees in its natural habitat. Accurate and efficient
mapping of feeding trees is crucial for understanding the ecology of orangutans
and for effective conservation planning. This can be achieved by utilizing
Unmanned Aerial Vehicles (UAV) as a tool for accurate data collection, covering
large areas in a relatively short time. This research aims to map the distribution
of feeding trees for the Sumatran Orangutan in the monitoring post of Halaban
and determine the dominance of feeding tree species at the Halaban monitoring
post. The method employed involves the processing of aerial photos and Object-
Based Image Analysis (OBIA). The aerial photos are processed into an
Orthomosaic format using Agisoft Metashape in TIFF format. The research
results include aerial photos of orangutan feeding tree species obtained using an
Unmanned Aerial Vehicle (UAV), resulting in 1,206 aerial photos with a Ground
Sampling Distance (GSD) of 1.87 cm/pixel, covering an area of 38.62 hectares
and comprising 8 classification classes: Diospyros buxifolia, Macaranga indica,
Macaranga gigantea, Macaranga hypoleuca, Macaranga Conifera, Vitex pinnata,
non-orangutan feeding plants, and the Halaban monitoring post.Based on field
survey results, 11 orangutan feeding tree species were identified, with the highest
Important Value Index (INP) observed in the species Macaranga indica
(121,07%). Macaranga indica dominates more than other feeding tree species,
consistent with the OBIA classification results at a 100-scale segmentation,
indicating that Macaranga indica has the widest canopy area according to the
Important Value Index. The lowest INP value was observed in the Canarium
denticulatum species (3,20%), a type of forest Durian. | en_US |
