Towards detection and understanding of paraglacial landslides in Southern Alaska using surface velocity data and deep learning. Supplementary files

Inventory landslides_southernAK.gpkg Landslide inventory derived through manual mapping includes attributes: landslide_ID: ID movement_confidence: confidence in active movement delineation_confidence: confidence of delineation ident_aerial: identifiability in multispectral satellite imagery ident_DEM: identifiability in DEM ident_GSSICB: identifiability in radar coherence ident_ts: identifiability in multispectral satellite imagery time series Model mrcnn_landslide_detection_notebook.ipynb Jupyter notebook for model training and inference model_weights.h5 Best performing weights from model training, can be used together with mrcnn_landslide notebook dataset_landslide_detection.zip Contains normalized tiles and masks for training