Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.

There is a newer version of the record available.

Published August 9, 2021 | Version 1.4
Dataset Open

Labels for Emergency Response Imagery from Hurricane Florence, Hurricane Michael, and Hurricane Isaias

  • 1. Department of Geography, Environment, and Sustainability, UNC Greensboro, NC, USA
  • 2. Marda Science LLC, Flagstaff, AZ 86001
  • 3. Environmental Dynamics Lab, School of Geography and Environmental Science, University of Southampton, UK
  • 4. Department of Geological Sciences, University of North Carolina at Chapel Hill, NC, USA
  • 5. Woods Hole Oceanographic Institution, Geology and Geophysics Department
  • 6. Department of Statistics, University of British Columbia, BC, Canada
  • 7. Center for Coastal Studies
  • 8. US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory – Field Research Facility, USA
  • 9. Department of Geological Sciences, University of Florida, Gainesville, FL, USA
  • 10. School of Civil and Construction Engineering, Oregon State University, Corvallis, Oregon, USA
  • 11. MIT-WHOI Joint Program in Oceanography/Applied Ocean Science & Engineering
  • 12. Department of Compuer Science, UNC Greensboro, NC, USA
  • 13. U.S. Geological Survey, Woods Hole, Massachusetts, USA
  • 14. Rice University
  • 15. U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA 95060

Description

The csv files contain human-generated labels for Emergency Response Imagery collected by US National Oceanic and Atmospheric Administration (NOAA) after Hurricane Florence (2018), Hurricane Michael (2018) and Hurricane Isaias (2020). All authors contributed to labeling the imagery. All labeling was done with an open-source labeling tool (Rafique et al., 2020).

All csv files provide the userID (the ID of the anonymous labeler), the NOAA flight, the NOAA image, and 6 labels — allWater (if the image was all water), devType (if the image had buildings/development), washoverType (if the image had washover deposits), dmgType (if the image showed damage to built environment), impactType (if the labeler could identify the coastal impact, using the Storm Impact Scale from Sallenger, 2000), and terrainType (the type of physical environment).

Images labeled here correspond to 3 NOAA flights — Florence 20180917a , Michael 20181011a, Isaias 20200804a. These images can be downloaded directly from NOAA (https://storms.ngs.noaa.gov/) or using Moretz et al. (2020a, 2020b).

There are three csv files:

ReleaseData_v3.csv has 6200 labels for 1500 images. These labels were generated by trained coastal scientists.

ReleaseDataQuads.csv has 400 labels for 100 images. These labels were generated by trained coastal scientists. The images labeled in this set correspond to original NOAA images that have been split into quadrants. Splitting images was done with ImageMagick. The command used to split the images was:

`magick mogrify -crop 2x2@ +repage -path ../quadrants *.jpg`

The naming convention corresponds to the image quarter — the *-0.jpg is upper left, *-1.jpg is upper right, *-2.jpg is lower left, and *-3.jpg is the lower right.

ReleaseDataNCE.csv has 400 labels for 100 images. These images were labeled by non-coastal scientists. Note that the 100 images were also labeled by coastal scientists — those labels can be found in ReleaseData_v3.csv.

There is another companion dataset to this, with slightly different labels (Goldstein et al., 2020)

Files

ReleaseData_v3.csv

Files (697.5 kB)

Name Size Download all
md5:21b7e2da25797b15f4022c7342299c14
618.2 kB Preview Download
md5:814b6297615b3824f4363a47f3675e76
40.7 kB Preview Download
md5:f432f552d22497ddaac57b02956c35a3
38.6 kB Preview Download

Additional details