EGU26-18862, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-18862
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Beyond Risk: Predicting Tropical Deforestation Intensity Patterns with Regression-Based Fully Convolutional Neural Networks
- Wageningen University and Research, GRS, Netherlands (katharinasillem@gmail.com)
How to cite: Sillem, K. and Cue la rosa, L.: Beyond Risk: Predicting Tropical Deforestation Intensity Patterns with Regression-Based Fully Convolutional Neural Networks, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18862, https://doi.org/10.5194/egusphere-egu26-18862, 2026.