DSM and forest disturbances derived from UAV acquisitions acquired in 2018, 2019 and 2020 in the Republic of the Congo

This is a dataset repository attached to the manuscript: <br>
Mercier, A., Betbeder, J., Mortier, F., Barbier, N., Ploton, P., Cornu, G., Couteron, P., 2026. Mapping small-sized logging disturbances in tropical forests using Sentinel-1 time series and an extensive ground truth dataset. Front. Remote Sens. 7. https://doi.org/10.3389/frsen.2026.1659305
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This dataset includes raw digital surface models derived from UAV acquisitions in the Republic of Congo in 2018, 2019 and 2020. The DSM are georeferenced based on the dsm_2020.tif.<br>
It also includes two binary small-sized forest disturbance/non disturbance maps derived from the three resulting DSM.
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For details of the processing steps, see the "Data" section of the manuscript above.