Gallery · GIS analysis
Twenty years of forest loss, pixel by pixel.
Since 2001, the University of Maryland has detected every loss of tree cover in the Landsat archives, at 30-metre resolution. In green, the forest as of 2000; in pink, what has vanished since. Around the Lama classified forest as on park edges, the nibbling is plain to see.
Data: Hansen/UMD/Google/USGS/NASA — Global Forest Watch, Landsat 30 m, 2001-2024. Basemap: © OpenStreetMap, © CARTO.
From alert to inventory
Detection
The Hansen/UMD algorithm compares Landsat images year over year and flags every 30 m pixel whose tree cover disappears — clearing, fire, logging.
Quantification
Global Forest Watch aggregates these losses by territory and by year: an objective baseline for forest policy, carbon projects and certifications.
Field work
OHM WORKS complements with LiDAR drones: stem-by-stem inventories, biomass and carbon stocks, reforestation monitoring — as on our 100 ha survey in Abomey and 200 ha at Okpara.
A forest inventory on your concessions?
Forest managers, carbon projects, NGOs: we measure the biomass and actual evolution of your forests by LiDAR drone, with MRV-compliant deliverables. Let's talk.