kushanavbhuyan/Large-scale-multi-spatiotemporal-landslide-mapping
By using the pre-trained models, this method enables quick and simple mapping of landslides at various spatiotemporal scales. The method also offers the adaptability of re-training a pretrained model to identify landslides caused by both rainfall and earthquakes on different target locations.
This tool helps geologists, disaster response teams, and environmental scientists quickly map landslides across different locations and timeframes. It takes high-resolution satellite imagery as input and outputs detailed maps showing the presence and extent of landslides. This is especially useful for understanding the impact of events like earthquakes and heavy rainfall.
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Use this if you need to rapidly identify and map landslides using satellite images after natural disasters or for environmental monitoring.
Not ideal if you require very specific, hyper-local ground-level landslide assessments without satellite data.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 21, 2023
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