Tornado Arkansas - Building Damage Assessment

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  • This dataset updates: Never
Additional information
Time Period of the Dataset [?]
March 17, 2025-March 17, 2025 ... More
Modified [?]
20 March 2025
Dataset Added on HDX [?]
20 March 2025 Less
Expected Update Frequency
Never
Location
United States
Source
Microsoft AI for Good Lab
... More
Contributor
Microsoft AI for Good Lab
Methodology

Microsoft AI4G Lab ran their damage assessment AI models on images provided by Planet and have mapped out the affected buildings.

Caveats / Comments

While the data provides a valuable first look, it should serve as a preliminary guide and will require on-the-ground verification for a complete understanding.
License
Creative Commons Attribution International (CC BY)
Tags
damage assessment
File Format
Visibility
Public
Less
Export metadata for this dataset: JSON | CSV
[{"date": "2024-11-04", "value": 0}, {"date": "2024-11-11", "value": 0}, {"date": "2024-11-18", "value": 0}, {"date": "2024-11-25", "value": 0}, {"date": "2024-12-02", "value": 0}, {"date": "2024-12-09", "value": 0}, {"date": "2024-12-16", "value": 0}, {"date": "2024-12-23", "value": 0}, {"date": "2024-12-30", "value": 0}, {"date": "2025-01-06", "value": 0}, {"date": "2025-01-13", "value": 0}, {"date": "2025-01-20", "value": 0}, {"date": "2025-01-27", "value": 0}, {"date": "2025-02-03", "value": 0}, {"date": "2025-02-10", "value": 0}, {"date": "2025-02-17", "value": 0}, {"date": "2025-02-24", "value": 0}, {"date": "2025-03-03", "value": 0}, {"date": "2025-03-10", "value": 0}, {"date": "2025-03-17", "value": 0}, {"value": 4, "date": "2025-03-24"}, {"value": 12, "date": "2025-03-31"}, {"value": 2, "date": "2025-04-07"}, {"date": "2025-04-14", "value": 0}, {"date": "2025-04-21", "value": 0}]

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Data and Resources [2]
  • jacksonport_march_17_results.gpkgGeopackage (1.7M)
    Modified: 20 March 2025

    Results from 03/17/2025 using Planet imagery. This AOI includes Jackson County.

    • 6,609 structures with damage fraction between 0% and 20%
    • 71 structures with damage fraction between 20% and 40%
    • 27 structures with damage fraction between 40% and 60%
    • 18 structures with damage fraction between 60% and 80%
    • 21 structures with damage fraction between 80% and 100%

    The result file contains the following fields for each building footprint: damage_pct_0m​ – the fraction of the building footprint's area that is classified as damaged by our model damaged​ – 1 if damage_pct_0m > 0 else 0 unknown_pct – fraction of the pixels within the building footprint that we think are obstructed (clouds, smoke, haze, too dark to evaluate)
    Download Download More
  • cave_city_march_17_results.gpkgGeopackage (692.0K)
    Modified: 20 March 2025

    Results from 03/17/2025 using Planet imagery. This AOI includes Cave City.

    • 2,269 buildings with damage fraction between 0% and 20%
    • 11 buildings with damage fraction between 20% and 40%
    • 10 buildings with damage fraction between 40% and 60%
    • 10 buildings with damage fraction between 60% and 80%
    • 42 buildings with damage fraction between 80% and 100%

    The result file contains the following fields for each building footprint: damage_pct_0m​ – the fraction of the building footprint's area that is classified as damaged by our model damaged​ – 1 if damage_pct_0m > 0 else 0 unknown_pct – fraction of the pixels within the building footprint that we think are obstructed (clouds, smoke, haze, too dark to evaluate)
    Download Download More