| license: mit | |
| language: | |
| - en | |
| pipeline_tag: image-classification | |
| tags: | |
| - unet | |
| - deforestation | |
| - fusion | |
| - SAR | |
| - multispectral | |
| - environment | |
| metrics: | |
| - f1 | |
| This is the model presented as the best-performing model to detect deforestation based on four multispectral composites in the following article: Solórzano et al., 2023. Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images. ISPRS Journal of Photogrammetry and Remote Sensing 199: 87–101 [https://doi.org/10.1016/j.isprsjprs.2023.03.017](https://doi.org/10.1016/j.isprsjprs.2023.03.017). The additional Github repository containing the code to obtain this model can be found in: [https://github.com/JonathanVSV/U-netRDef](https://github.com/JonathanVSV/U-netRDef). | |
| The U-net 3D architecture: | |
|  | |