Today, we're excited to announce a major milestone in spatial transparency: the launch of annual, global commodity tree crop maps (coffee, cocoa, oil palm and rubber) built with Google’s Satellite Embedding dataset, part of Google Earth AI.
goo.gle/4uAnDkY
This dataset represents the first pan-tropical, open source, 10-meter resolution map for cocoa, coffee, and rubber, key commodity tree crops associated with deforestation.
These maps are a core output of the Forest Data Partnership (FDaP), a global consortium dedicated to halting forest loss by collaboratively improving monitoring and supply chain tracking. By scaling our coverage from individual countries to the entire tropical belt, we’re closing a critical data gap that has hindered conservation efforts for decades.
ALT Six panels display satellite imagery and maps of a West African region, with a red dot on a map of the Ivory Coast/Ghana area indicating the location. The top panels show zoomed-in, natural-color, and false-color views of a forested landscape, while the bottom panels show "Cocoa probability" in cyan and "Rubber probability" in green. A red square across several panels highlights a specific area where these different layers of data are compared.