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ItemDescription
20251016
08593600
20251016
13582300
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Gary W. Thompson, PLS, Deputy Hazard Mitigation Chief
Division of Emergency Management, NC Department of Public Safety
919-948-7844
919-733-4407
1636 Gold Star Drive
Raleigh
NC
27607
US
Monday through Friday 8:00 AM to 4:00 PM (Eastern Time)
20251016
ArcGIS Metadata
1.0
Orthoimagery_Helene_2025
2025-09-03
AECOM Technical Services
remote-sensing image
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Product: These data were acquired by the NC Collaboratory at UNC Chapel Hill utilizing funds appropriated by the NC General Assembly. This orthoimagery data set includes 6 in digital orthoimages in GeoTIFF tiles and 32-bit 4-band (RGBIR).Geographic Extent: 13 counties in NorthCarolina, covering approximately 5,323 total square miles. Counties covered in their entirety for this project included: Alexander, Ashe, Watauga, Avery, Mitchell, Burke, Yancey, McDowell, Rutherford, Buncombe, Henderson, Haywood, and Jackson. Dataset Description: The Helene-North Carolina Priority 1 Lidar and Imagery project called for the planning, acquisition, and processing of imagery data to be collected at a ground sample distance (GSD) of 6 in. Project specifications are based on the American Society of Photogrammetry and Remote Sensing (ASPRS) standards. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane North Carolina FIPS 3200 US Survey Foot. Imagery data were delivered as 6 in GeoTIFF tiles and 32-bit 4-band (RGBIR). Tiled deliverables contained 6,768 individual 5,000 ft x 5,000 ft tiles.Ground Conditions: Imagery was collected in spring 2025, and meets project acquisition parameters of being snow and ice free (though some light, undrifted snow may be present), no unusual flooding or water inundation, and leaf off conditions. The AECOM team established a total of 49 check points to assess the horizontal accuracy of the data, of which 39 were useable. The imagery data was post processed to meet task order specifications and was tested to meet ASPRS horizontal accuracy guidelines. Seamline editing and photoshop adjustments were focused on major transportation features due to the rapid response nature of the project and the need for damage analysis. Areas outside of major transportation features may exhibit seamline displacement and other anomalies such as smears.</SPAN></P></DIV></DIV></DIV>
These data depict geographic features on the surface of the earth. The dataset was created to current, post-Hurricane Helene imagery data for the NC Collaboratory at UNC Chapel Hill, NC.
NC Collaboratory at UNC Chapel Hill
North Carolina
Ashe County
Alexander County
Avery County
Watauga County
Mitchell County
Burke County
Yancey County
McDowell County
Rutherford County
Buncombe County
Henderson County
Haywood County
Jackson County
6 in orthoimage
GeoTIFF
rectified photograph
rectified image
orthophoto
natural color orthophoto
orthoimage
image map
6 inch orthoimage
GeoTIFF
rectified photograph
rectified image
orthophoto
natural color orthophoto
orthoimage
image map
North Carolina
Ashe County
Alexander County
Avery County
Watauga County
Mitchell County
Burke County
Yancey County
McDowell County
Rutherford County
Buncombe County
Henderson County
Haywood County
Jackson County
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of their limitations. Acknowledgement of the organization providing these data to the public would be appreciated for products derived from these data.</SPAN></P></DIV></DIV></DIV>
No restrictions apply to these data.
Esri ArcGIS Pro; ImageStation Suite 2022; Leica MissionPro; Inpho 13
true
-83.266278837
-80.582747359
36.332719738
34.58587958
Ground condition
2025-03-08
2025-03-26
1
-83.443798
-80.971246
36.618357
34.976430
None.
None.
None.
NONE
Radiometry is verified by visual inspection of the digital orthophoto. Slight systematic radiometric differences may exist between adjacent orthoimage files; these are due primarily to differences in source image capture dates and sun angles along flight lines. These differences can be observed in an image's general lightness or darkness when it is compared to adjacent orthoimage file coverages. Tonal balancing may be performed over a group of images during the mosaicking process which may serve to lighten or darken adjacent images for better color tone matching. Due to the rapid response nature of this project, tonal balancing was conducted with analysis rather than aesthetics considered for this project.
All GeoTIFF tagged data and image file sizes are validated using commercial GIS software to ensure proper loading before being archived. This validation procedure ensures correct physical format and field values for tagged elements. Seamlines and tile edges are visually inspected. Seamline mismatches are corrected unless the overall displacement is less than 1.0 pixel(s)for major transportation features within the project. Features outside of the major tranportation corridors may contain displacement exceeding 1.0 pixel (s).
Orthoimages are visually inspected for completeness to ensure that no gaps or image misplacements exist within and between adjacent images. These images are derived by mosaicking multiple images to ensure complete coverage. Source imagery is cloud free.
The project specifications require that only horizontal accuracy be computed for orthoimagery files. The required accuracy was tested to meet or exceed ASPRS standards. The horizontal accuracy was tested with 39 checkpoints located throughout the project area. These checkpoints were not used in the aerotriangulation or post-processing of the imagery data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. The x and y positions of where the checkpoints fell on the orthoimagery were collected. These values were then compared to the surveyed control point x and y values.
Tested to meet 0.164592 meters (0.54 feet) RMSEx. The RMSEx of the imagery was calculated using 39 independent checkpoints.
0.164592
The project specifications require that only horizontal accuracy be computed for orthoimagery files. The required accuracy was tested to meet or exceed ASPRS standards. The horizontal accuracy was tested with 39 checkpoints located throughout the project area. These checkpoints were not used in the aerotriangulation or post-processing of the imagery data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. The x and y positions of where the checkpoints fell on the orthoimagery were collected. These values were then compared to the surveyed control point x and y values.
Tested to meet 0.103632 meters (0.34 feet) RMSEy. The RMSEy of the imagery was calculated using 39 independent checkpoints.
0.103632
The project specifications require that only horizontal accuracy be computed for orthoimagery files. The required accuracy was tested to meet or exceed ASPRS standards. The horizontal accuracy was tested with 39 checkpoints located throughout the project area. These checkpoints were not used in the aerotriangulation or post-processing of the imagery data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. The x and y positions of where the checkpoints fell on the orthoimagery were collected. These values were then compared to the surveyed control point x and y values.
Tested to meet 0.195072 meters (0.64 feet) RMSEh. The RMSEh of the imagery was calculated using 39 independent checkpoints.
0.195072
There is no vertical component for orthophotos.
ESP Associates performed a geodetic control survey in support of the digital orthophoto production project. A total of 46 points were used for aerotriangulation. A total of 49 points were established for independent testing, of which 39 were used. Please see the Report of Survey and the Collection and Processing Report for more information.
GPS Photo Control Survey
CONTROL
2025-06-13
AECOM Technical Services
vector digital data and tabular data
ground condition
2025-06-13
Aerial imagery was acquired using a UltraCam Eagle M4 and M3 cameras. Aerial imagery was supplemented with the simultaneous acquisition of airborne GPS/IMU data, which captured the ground coordinate for the nadir point of each photograph. Aerial imagery was exposed at an average altitude of 16,210 feet above mean terrain. Flight altitudes throughout the project varied due to mountainous terrain.
Georeferenced Single Frames
PHOTO
2025-09-03
AECOM Technical Services
remote-sensing image
ground condition
2025-03-08
2025-03-26
Softcopy aerotriangulation was performed utilizing the airborne GPS/IMU data, 46 GPS ground control points and image coordinate measurements allowing the direct computation of the exterior orientation parameters for each image of the project.
Aerotriangulation
AT
2025-09-02
AECOM Technical Services
model
ground condition
2025-05-23
A compilation of topographic land form elevation datasets developed using project lidar data collected for this project and used in developing digital ortho imagery.
DEM
DEM
2025-06-15
AECOM Technical Services
raster digital data
publication date
2025
Ground Control Point Collection: A total of 46 control points were established throughout the project area using a combination of conventional and GPS survey methods in order to support softcopy aerotriangulation meeting the accuracies specified in this Scope of Work. Ground control collection followed requirements set forth in the task order specifications. Please see the Report of Survey for more information.
2025-03-24
Geodetic control
Control
Aerotriangulation: Softcopy aerotriangulation was performed on 2 blocks of imagery. The airborne GPS/IMU data, GPS ground control, and image coordinate measurements were utilized to allow the direct computation of the exterior orientation parameters for each image frame to support the photogrammetric process and orthophoto production.
2025-05-24
ABGPS
Control
RAWs
AT
Imagery Acquisition: Digital aerial imagery was obtained using multiple UltraCam Eagle camera equipped with Airborne GPS/IMU. All flight lines were collected in the spring 2025 in multi-spectral (RGB-IR) format. The 6 in imagery was acquired at an altitude above mean terrain of 16,210 feet to yield a pixel resolution suitable for photogrammetric mapping and orthophoto production. The imagery was collected under conditions free from clouds and cloud shadows, smoke, fog, haze, light streaks, snow, ice on water bodies, flooding, excessive soil moisture, and foliage. Light, undrifted snow was observed at some elevations and approved for flight. The imagery consisted of blue, green, red, and infrared bands. Imagery for the photogrammetric mapping and digital orthophotos was captured according to task order specifications regarding, snow, haze, and cloud cover.
2025-06-25
RAWs
Georefs
Surface Creation: This process involved the development of seamless topographic landform elevation dataset utilizing project LiDAR data to support the production of digital orthophotography that meet or exceed required orthophoto horizontal accuracy. The topographic features included a grid of elevation points and may include break lines that define ridges, valleys, edge of water, transportation features and abrupt changes in elevation. The final DEM is suitable for orthophoto production only (not suitable for contour generation). The DEM is used to then generate a Triangulated Irregular Network (TIN) to support orthophoto production. The final DEM used for orthophoto production was delivered in countywide rasters in a file geodatabase.
2025-06-25
DEM
LiDAR
DEM
Orthophoto Processing: Utilizing all four bands [blue (B), green (G), red (R), and infrared (IR)] digital orthorectification was performed using cubic interpolation algorithms resulting in a spatial and radiometric transformation of the digital image from line/sample space into NAD 1983 2011 StatePlane North Carolina FIPS 3200 US Survey Foot. The interior and exterior orientation parameters from the aerotriangulation process were used to project each pixel into the ground coordinate system, while the ortho grade DEM was used to correct for relief displacement. Radiometric correction software and techniques were used to create orthophoto files that minimize the appearance of image seams and without loss of feature signature. Orthophotos are checked for geometric accuracy, image quality, and are tonally balanced to produce a uniform contrast and tone across the entire project. The individual overlapping orthophoto frames were mosaicked together. The ortho photos were tested to meet ASPRS horizontal accuracy standards.
2025-06-25
Georefs
AT
Control
DEM
Orthos
2
833
0.500000
833
0.500000
1
0
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withheld
None.
Three band orthoimagery is organized in three color bands or channels which represent the red, green, and blue (RGB) portions of the spectrum. Four band orthoimagery is organized in four color bands or channels which represent the red, green, blue (RGB), and near infrared (IR) portions of the spectrum. Each image pixel is assigned a triplet or quadruplet of numeric values, one for each color band. Numeric values range from 0 to 255.
U.S. Department of the Interior, U.S. Geological Survey, 1996, Standards for Digital Orthophotos: Reston, VA.
EPSG
8.2.10(10.3.1)
Band_1
255.000000
0.000000
8
Band_2
255.000000
0.000000
8
Band_3
255.000000
0.000000
8
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