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Integrating Disparate Spatial Datasets from Local to National Scale for Open-Access Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide Inventories

Summary

Understanding spatial patterns is fundamental to Earth sciences and risk assessments, but spatial data are often collected at local scales, in disparate formats, and within specific jurisdictional boundaries. For example, weather-triggered landslides pose a major threat to public safety and economic well-being across the U.S., but detailed information on their occurrence and susceptibility varies greatly in data quality, accessibility, and spatial extent. This project would compile existing data on landslide occurrence within the U.S. into a searchable, web-based map for use by the public, researchers, and emergency planners. It would also seek broader input from the CDI community, then ultimately provide general guidance, workflows, [...]

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  • Community for Data Integration (CDI)

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