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README.md

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 ---
 license: mit
+language:
+- en
+metrics:
+- f1
+- accuracy
+tags:
+- unet
+- fusion
+- SAR
+- multispectral
+- LULC
+- environment
 ---
+
+This is the model presented as the best-performing model to perform a land use land cover (LULC) classification based on multispectral and SAR data in the following article: Solórzano et al. 2021. Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery. Remote Sensing, 13, 3600. [https://doi.org/10.3390/rs13183600](https://doi.org/10.3390/rs13183600). The additional Github repository containing the code to obtain this model can be found in: [https://github.com/JonathanVSV/U-netR](https://github.com/JonathanVSV/U-netR).
+
+The U-net architecture:
+
+![unet2d.jpg](imgs/unet2d.jpg)

U128modelOpticRadarfilters64Epochs50layers3dropout0.5_lr1e-04_adam_2021-03-01.h5

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