Tree crop mapping of South America reveals links to deforestation and conservation
This work addresses the need for accurate tree crop mapping to support effective and equitable conservation policies, such as the EUDR, by mitigating risks of false deforestation alerts and unfair penalties for small-scale farmers.
The study tackled the problem of monitoring tree crop expansion for deforestation policies by creating the first 10m-resolution tree crop map for South America, identifying approximately 11 million hectares of tree crops with 23% linked to forest loss from 2000-2020.
Monitoring tree crop expansion is vital for zero-deforestation policies like the European Union's Regulation on Deforestation-free Products (EUDR). However, these efforts are hindered by a lack of highresolution data distinguishing diverse agricultural systems from forests. Here, we present the first 10m-resolution tree crop map for South America, generated using a multi-modal, spatio-temporal deep learning model trained on Sentinel-1 and Sentinel-2 satellite imagery time series. The map identifies approximately 11 million hectares of tree crops, 23% of which is linked to 2000-2020 forest cover loss. Critically, our analysis reveals that existing regulatory maps supporting the EUDR often classify established agriculture, particularly smallholder agroforestry, as "forest". This discrepancy risks false deforestation alerts and unfair penalties for small-scale farmers. Our work mitigates this risk by providing a high-resolution baseline, supporting conservation policies that are effective, inclusive, and equitable.