{ "id": "30348417574343bc9b324a10f43de8e0", "item": "calculate_post_fire_landslide_risk.ipynb", "itemType": "file", "owner": "esri_notebook", "uploaded": 1556166030000, "modified": 1556166030000, "guid": null, "name": null, "title": "Raster Analytics: Calculate wildfire landslide risk", "type": "Notebook", "typeKeywords": [ "Notebook", "Python" ], "description": "In this notebook sample, you'll use the available image services to assess landslide risk per watershed within the burn area. You'll create a landslide risk map and then summarize the landslide risk based on watershed subbasin. You'll use raster function chains to derive a burn severity map, topographic slope map, and a landcover index map. These individual processing chains will be combined into one processing chain for distributed processing in your Raster Analytics system and then be summarized by watershed subbasin. The landslide risk map you create will help to aid emergency management and rescue workers.", "tags": [ "Raster", "ArcGIS Image Server", "Raster Analysis", "Weighted Overlay Analysis" ], "snippet": "Use raster function chains to create a landslide risk map,and summarized risk by watershed subbasin in Sonoma and Napa counties, CA.", "thumbnail": "thumbnail/calculate-landslide-risk-for-communities-affected-by-wildfires.png", "documentation": null, "extent": [], "categories": ["Data Science and Analysis"], "lastModified": -1, "spatialReference": null, "accessInformation": null, "licenseInfo": null, "culture": "english (united states)", "properties": { "notebookRuntimeName": "ArcGIS Notebook Python 3 Standard", "notebookRuntimeVersion": "10.7.1" }, "url": null, "proxyFilter": null, "access": "public", "size": 5258196, "appCategories": [], "industries": [], "languages": [], "largeThumbnail": null, "banner": null, "screenshots": [], "listed": false, "commentsEnabled": true, "numComments": 0, "numRatings": 0, "avgRating": 0, "numViews": 119, "scoreCompleteness": 81, "groupDesignations": null }