WildSense project
Costa Rica – Cloud Forest Biodiversity Monitoring
Using imaging systems to track moth and pollinator diversity across tropical gradients
In progress
Central America
Systems:
ami,
lepisense
Overview
This project deploys automated imaging systems in Costa Rican forests to quantify nocturnal insect and pollinator communities along environmental gradients.
Aims
- Test how imaging systems perform in humid, high-diversity tropical environments.
- Develop robust workflows for data capture, upload, and cloud-based classification.
- Link insect community metrics to habitat type, elevation, and land-use change.
What we’re doing
- Installing imaging systems at multiple forest and edge sites.
- Running image classification models and targeted manual verification.
- Comparing community metrics between sites and over time.
The methods and pipelines developed here will inform other tropical deployments across the WildSense portfolio.
Updates