in Western North Carolina
Center for Geospatial Analytics at NC State University
U.S. Amry Corps of Engineers, Engineer Research and Development Center (ERDC)
2025-04-16

Sept 24 - 27, 2024
Makes landfall off the Florida Coast
Category __ 4__
Massive inland flooding
__ 34 flash flood emergencies__
~250 Fatalities
$78.8 billion dollars of
estimated damage
Hagen et al. 2025

https://storms.ngs.noaa.gov/storms/helene/index.html#15.42/35.568578/-82.540574


Flight Vector Data: https://services.arcgis.com/XG15cJAlne2vxtgt/ArcGIS/rest/services/Image_Points_view/FeatureServer/3/query


What about LiDAR?
LiDAR is expensive and hard to coordinate and process rapidly
Photogrammetry and SfM
Lots of data to process quickly
No Ground Control Points
Large Forested Areas
F lights flown for imagery collection








Analysis



Student Created Digital Elevation Models (DEM)
Photogrammetry & SfM
Convert images into dense point cloud, orthomosaic, and mesh.
WebODM
AgiSoft Metashape
Post-processing with GRASS
Interpolate point cloud data into DSM.
Correct vertical shifts
Volumetric change estimations
Develop finalized data products


Flight Vector Data: https://services.arcgis.com/XG15cJAlne2vxtgt/ArcGIS/rest/services/Image_Points_view/FeatureServer/3/query
Align __ Photos__
Develop Depth Maps
Dense Point Clouds
Digital Elevation Model (DEM)
Mesh


Swannanoa River
Valley
Bearwallow-Chimney Rock


Data Reprojected to NAD83(HARN) / North Carolina (EPSG:3358)
Number of images: 1,515
Camera stations: 1,504
Flying altitude: 960 m
Tie points: 2,064,970
Ground resolution: 7.98 cm/pix
Projections: 5,164,112
Coverage area: 80.6 km²
Reprojection error: 2.08 pix
Camera Locations and Error Estimates


Image residuals for Canon EOS 5DS R, EF50mm f/1.4 USM (50mm).
Camera Locations and Image Overlap

Pre-Correction Vertical Error
MSE: 56.89 m
RMSE: 7.54 m
RMdSE (Median): 5.25 m
Post-Vertical Alignment
RMSE: 0.39 m (~1.28 US Survey feet)
LiDAR to Geodetic __ __ Control __ Point v. DTM__
RMSE: 0.121 m
DSM (Digital Surface Model)



minimum: 627.142
maximum: 1205.31
range: 578.165
mean: 774.047
mean of absolute values: 774.047
standard deviation: 92.2234
median : 746.752
minimum : 2.20804e-05
maximum : 360
range : 360
mean : 180.977
mean of absolute values : 180.977
standard deviation : 102.844
median : 181.068
minimum: 0.000618198
maximum: 88.5532
range: 88.5526
mean: 35.3713
mean of absolute values: 35.3713
standard deviation: 23.0795
median: 34.8844

minimum : -2
maximum : 2
range : 4
mean : 0.21599
mean of absolute values : 0.5558
standard deviation: __ 0.694954__
median: __ 0.150562__



Record Gauge Height 27.33 ft
October 6th, 2024


October 6th, 2024



SfM DSM - Not Corrected
NC Phase 2018 LiDAR DTM
Corrected SfM DSM


Top of Landslide

Hidden by Canopy
Bottom of Landslide




Number of Clumps: __ 3__
| Clump | Volume (m 3 ) | Average (Difference) | Area (m 2 ) |
|---|---|---|---|
| 1 | 694.01 | 0.51 | 1355 |
| 2 | 1422.83 | 0.59 | 2409 |
| 3 | 5757.43 | 0.40 | 14771 |
| Total | 7874.27 | 18535 |
Estimate Debris Removal Cost
~788 Loads (10m3 __ per load__ )
$78K - $158k Removal Cost

https://www.fema.gov/appeal/debris-removal-1


Number of images: 1,444
Camera stations: 1,254
Flying altitude: 1.04 km
Tie points: 1,893,146
Ground resolution: 9.28 cm/pix
Projections: 4,512,928
Coverage area: 75.2 km²
Reprojection error: 1.18 pix




Fluvial geomorphological changes along Brood River

New Stream Channel
(Blue)
2017 NC Streams
(Yellow)


Fun Fact
Filming Location

Debris Damming __ River__
Estimated at
~28.3 million Cubic
Meters
~11,321
Olympic Swimming
Pools


DSM created using 2024 SfM data


DSM created using 2017 LiDAR data
This process revealed several key challenges for rapid post-storm DEM generation, including collecting, storing, and processing large volumes of raw image data . Addressing these challenges is critical for improving workflows and enabling faster deployment of topographic data products for disaster response and recovery.
Processing infrastructure
HPC or Cloud Resources
Data Publishing
DSM
Point Cloud
Mesh
Data Distribution
Mix of online and printed resources
Andrew B. Hagen, John P. Cangialosi, Marc Chenard, Laura Alaka, Sandy Delgado, 2025. Hurricane Helene (TROPICAL CYCLONE REPORT No. AL092024). NOAA NATIONAL HURRICANE CENTER.
National Geodetic Survey, 2025: 2024 NOAA NGS Emergency Response Imagery: Hurricane Helene, https://www.fisheries.noaa.gov/inport/item/73570 .