Topographic Impacts of Hurricane Helene

in Western North Carolina

2025-04-16

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Image 0 Image 1 Image 2 Image 3 Image 4 Image 5

Hurricane Helene

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

Imagery

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

  • Civil __ Air Patrol Flights__
  • Takes aerial __ __ imagery __ after natural disasters__
  • Satellite __ __
  • Cloud cover or smoke can prevent clear imaging of impacted areas
  • UAS
  • Good for capturing smaller areas
  • Hard to capture areas that are unacceptable
    • Destroy road
    • Debris

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

Topographic Products

  • Provide emergency managers with actionable insights by identifying
  • Location
  • Extent
  • Volume
  • To help estimate and p rioritized resources to address
  • Structural Damages
    • Buildings
    • Bridges
    • Roads
  • Erosion and Deposition
  • Landslides

Challenges

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

UAS Mapping and

Analysis

  • With Guidance __ from U.S. Army Corps of Engineers (Dr. Reckling)__
  • 8 student projects!!!
  • > 1000 Images
  • > 50 km 2
    • Spruce Pine, NC
    • Blowing Rock, NC (Sorrento Skies/Ski Mountain/Downtown Area)
    • Roan Mountain, TN
    • US421N just East of Vilas, NC
    • Sandy Mush, NC
    • Hendersonville-E Flat Rock
    • Bearwallow-Chimney Rock

Student Created Digital Elevation Models (DEM)

https://ncsu-geoforall-lab.github.io/gis-584-uas-course/

Our Approach

Photogrammetry & SfM

  • Collect Raw Flight Image Data
  • CAP Civil Air Patrol
    • U.S. Air Force Auxiliary aids FEMA in disaster-response efforts.
  • ArcGIS REST API
  • ESRI ImageServer

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

  • Civil Air Patrol Flights
  • Project: CAP-H-TS Helene 2024
  • Mission: 24-1-5849
  • 35 Flights
  • Flown between
    • Sept 27 - Oct 8
  • Data
  • 69,247 RGB JPEG Images (~1.41 TB)
  • Image Resolution: 8688 x 5792
  • Focal Length: 50mm
  • Pixel Size: 4.24 x 4.24 μm
  • Spatial
  • WGS84 (EPSG::4326)
  • Yaw, Pitch, Role

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

Photogrammetry & SfM (Structure from Motion)

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)

Swannanoa NC - CAP Flight A006B

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

Camera Calibration

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

Camera Locations and Image Overlap

Systematic Vertical Shift

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

Topographic Derivatives

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

Topographic Change

minimum : -2

maximum : 2

range : 4

mean : 0.21599

mean of absolute values : 0.5558

standard deviation: __ 0.694954__

median: __ 0.150562__

Swannanoa, NC

Record Gauge Height 27.33 ft

October 6th, 2024

October 6th, 2024

Stream Bank Erosion

SfM DSM - Not Corrected

NC Phase 2018 LiDAR DTM

Corrected SfM DSM

Landslides

Top of Landslide

Hidden by Canopy

Bottom of Landslide

Landslides (cont.)

Landslides (cont.)

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

Flow Accumulation & Streams

Bearwallow-Chimney Rock - CAP Flight A006B

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

Steep Mountainous Terrain

Strahler Stream Order

Fluvial geomorphological changes along Brood River

New Stream Channel

(Blue)

2017 NC Streams

(Yellow)

Bearwallow-Chimney Rock - CAP Flight A0069

Bearwallow-Chimney Rock

Fun Fact

Filming Location

Debris Damming __ River__

Debris Volume

Estimated at

~28.3 million Cubic

Meters

~11,321

Olympic Swimming

Pools

Bearwallow-Chimney Rock

DSM created using 2024 SfM data

DSM created using 2017 LiDAR data

Lessons Learned

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

Questions?

References

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 .