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Showing 1 to 1 of 1 for “"Lanslide Susceptibility Mapping"”.

  1. Deep Learning Architectures for Improving Weather Research and Forecasting (WRF) Precipitation Estimates and Landslide Susceptibility Mapping: A Case Study of Puerto Rico

    … DL models can be employed to predict landslide susceptibility maps (LSM) that rely on forecasted precipitation, landscape characteristics, and real-time soil measurements. These maps are essential for identifying high-risk areas, enabling proactive risk management to protect lives and …

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