Labels for Emergency Response Imagery from Hurricane Florence, Hurricane Michael, and Hurricane Isaias
Authors/Creators
- 1. Department of Geography, Environment, and Sustainability,UNC Greensboro
- 2. Department of Statistics, University of British Columbia, BC, Canada
- 3. Marda Science LLC, Flagstaff, AZ 86001
- 4. US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory – Field Research Facility
- 5. School of Civil and Construction Engineering, Oregon State University, Corvallis, Oregon
- 6. Environmental Dynamics Lab, School of Geography and Environmental Science, University of Southampton
Description
The csv file contains 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).
The 7 authors all labeled each of the 300 images (2100 labels total) using an online labeling tool (Rafique et al., 2020).
The csv provides 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 human 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).
Note also that there is another companion dataset to this, with slightly different labels (Goldstein et al., 2020)
Files
ReleaseData_v1.csv
Additional details
References
- Moretz et al. 2020b: https://doi.org/10.21105/joss.02075
- Moretz et al. 2020b: http://doi.org/10.5281/zenodo.3687347
- Goldstein et al 2020: https://doi.org/10.6084/m9.figshare.11604192.v1
- Rafique et al., 2020: http://doi.org/10.5281/zenodo.4000221
- Sallenger, 2000: https://www.jstor.org/stable/4300099