{
  "id": "8a86dc4b4c764de2ba2ce828b27714b8",
  "item": "Wildfire_analysis_using_Sentinel-2_imagery.ipynb",
  "itemType": "file",
  "owner": "esri_notebook",
  "uploaded": 1556166059000,
  "modified": 1556166059000,
  "guid": null,
  "name": null,
  "title": "Pawnee Fire Analysis",
  "type": "Notebook",
  "typeKeywords": [
    "Notebook",
    "Python"
  ],
  "description": "In this notebook sample, you will use the sentinel-2 data to perform remote sensing. You will perform visual assessment of the burnt area, compute NBR on the pre fire and post fire scenes, compute the NBR difference to identify places that have been affected by the fire, normalize the values and classify the severity of the burnt areas all using raster functions. You will also perform human impact assessment due to the fire.",
  "tags": [
    "Raster",
    "ArcGIS Image Server",
    "Raster Analysis",
    "GeoAnalytics",
    "Raster Functions"
  ],
  "snippet": "Perform wildfire analysis using Sentinel-2 Imagery Layer",
  "thumbnail": "thumbnail/wildfire_analysis_using_sentinel-2.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": 3325059,
  "appCategories": [],
  "industries": [],
  "languages": [],
  "largeThumbnail": null,
  "banner": null,
  "screenshots": [],
  "listed": false,
  "commentsEnabled": true,
  "numComments": 0,
  "numRatings": 0,
  "avgRating": 0,
  "numViews": 122,
  "scoreCompleteness": 76,
  "groupDesignations": null
}