{ "model_name": "FLORO", "full_name": "FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales", "architecture": "Multimodal geospatial foundation model with grouped optical and auxiliary input streams", "input_representation": { "description": "FLORO represents heterogeneous remote sensing inputs using grouped channels and validity indicators for available optical and auxiliary modalities.", "streams": { "optical": { "description": "Spectral reflectance information and corresponding validity indicators.", "groups": { "blue": "Visible blue reflectance group", "green": "Visible green reflectance group", "red": "Visible red reflectance group", "red_edge": "Vegetation-sensitive red-edge group", "near_infrared": "Near-infrared vegetation-sensitive group", "near_infrared_a": "Additional NIR-like group when available", "swir_1": "Shortwave-infrared group 1", "swir_2": "Shortwave-infrared group 2", "validity": "Indicators for available or valid spectral groups" } }, "auxiliary": { "description": "Terrain and radar information with corresponding validity indicators.", "groups": { "elevation": "DSM, DTM, DEM, or related terrain-derived information", "sar_vv": "Sentinel-1 vertical transmit / vertical receive backscatter", "sar_vh": "Sentinel-1 vertical transmit / horizontal receive backscatter", "validity": "Indicators for available or valid auxiliary modalities" } } } }, "image_size": 256, "patch_size": 16, "pretraining_objective": "masked_autoencoding", "checkpoint_files": { "safetensors": "checkpoints/floro_encoder_202603_ep150.safetensors", "pytorch": "checkpoints/floro_encoder_202603_ep150.pth" }, "hub": "https://huggingface.co/jorlrodriguezg/floro", "checkpoint_download_urls": { "safetensors": "https://huggingface.co/jorlrodriguezg/floro/resolve/main/checkpoints/floro_encoder_202603_ep150.safetensors", "pytorch": "https://huggingface.co/jorlrodriguezg/floro/resolve/main/checkpoints/floro_encoder_202603_ep150.pth" }, "supported_tasks": [ "semantic_segmentation", "canopy_height_regression", "biomass_regression", "scene_classification", "spectral_reconstruction" ], "license": "mit", "paper": "https://arxiv.org/abs/2605.28174", "project_page": "https://jorlrodriguezg.github.io/floro/", "code": "https://github.com/jorlrodriguezg/floro" }