All work
Mapping conservation priorities for the proboscis monkey
Machine learning and remote sensing applied to identify priority conservation habitats for one of Borneo's endangered primates.
- Role
- Research Team
- Period
- 2023 to 2024
- Location
- Borneo, Indonesia
01Situation
Protecting the endangered proboscis monkey required a reliable way to identify suitable habitats across rapidly changing landscapes.
02Approach
Contributed to an ensemble machine learning workflow integrating environmental and spatial variables to model habitat suitability across Borneo.
03Finding
Combining multiple predictive models produced a more reliable basis for identifying priority conservation areas than relying on individual models alone.
04Outcome
Published in Global Ecology and Conservation, supporting evidence-based conservation planning.