Trees outside forests in global drylands (TOFDRY)

ERC starting grant

TOFDRY aims to quantify the worlds non-forest trees by using PlanetScope satellite imagery and a deep learning technique which is able to identify objects within imagery at unprecedented accuracy.

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Contact: Florian Reiner

PlanetScope

We form global mosaics at 3 m resolution from millions of PlanetScope scenes having a size of several hundred terabyte.

Deep Learning

We develop deep learning models being able to identify trees and groups of trees - at continental scale and with a precision at tree level.

Tree cover maps at unprecedented accuracy

Tree cover maps at 1-m resolution will be linked with various variables, like soil fertility, agroforestry, carbon stocks, climate, etc.