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Post-Hurricane Florence RGB averaged orthoimagery of coastal North Carolina

Dates

Publication Date
Start Date
2018-10-06
End Date
2018-10-08

Citation

Ritchie, A.C., Over, J.R., Kranenburg, C.J., Brown, J.A., Buscombe, D., Sherwood, C.R., Warrick, J.A., and Wernette, P.A, 2021, Aerial photogrammetry data and products of the North Carolina coast—2018-10-06 to 2018-10-08, post-Hurricane Florence: U.S Geological Survey data release, https://doi.org/10.5066/P9CA3D8P.

Summary

This data release presents structure-from-motion (SFM) products derived from aerial imagery surveys with precise Global Navigation Satellite System (GNSS) navigation data flown in a piloted fixed wing aircraft taken along the North Carolina coast in response to Hurricane Florence (available here https://coastal.er.usgs.gov/data-release/doi-P91KB9SF/). USGS researchers use the elevation models and orthorectified imagery to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. The products span the coast over both highly developed towns and natural areas, including federal lands. These products represent the coast after Hurricane Florence and cover the Cape Fear area, North [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

Post-Florence_Ortho_example.JPG
“Example segment of an RGB averaged ortho product.”
thumbnail 84.83 KB image/jpeg
682.26 MB image/geotiff
691.77 MB image/tiff
872.85 MB image/tiff
1.36 GB image/tiff
2.16 GB image/tiff
421.53 MB image/tiff
536.1 MB image/tiff
617.53 MB image/tiff
708.93 MB image/tiff
913.5 MB image/tiff
1.54 GB image/tiff
1.4 GB image/tiff
1.39 GB image/tiff
2.25 GB image/tiff
4.13 GB image/tiff

Purpose

The RGB averaged ortho products are created to document interannual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure-from-motion workflow. These data are intended for science researchers, students, policy makers, and the general public. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.

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