Digital Orthophotography

Our digital orthophotography system collects four-band imagery at a resolution of up to three inches per pixel. Pixel resolution (or Ground Sample Distance (GSD)) refers to the actual distance on the ground each pixel represents in the orthophotograph. For example, a one-foot pixel resolution means each pixel in the image covers one foot on the ground. Common resolutions include three-inch per pixel, six-inch per pixel, and one-foot per pixel. Higher resolution imagery delivers greater visible detail.

Applications
  • Urban Planning and Zoning
  • Design Scale mapping
  • Utility/Pipeline mapping
  • 3D Modeling
  • Asset Management
Identifiable Features
  • Rooftop detail
  • Parking stripes
  • Potholes
  • Cracks
  • Signs
Identifiable Features
  • Curbs
  • Gutter
  • Fire hydrants
  • Manholes
  • Catch basins
Applications
  • GIS Applications
  • Impervious Surface Mapping
  • Land-use Surveys
  • Stormwater Management
  • Natural Resource Management
Identifiable Features
  • Building Details
  • Cross-country Power Lines
  • Hydrography
  • Roadway Markings
  • Property Line Fences
Applications
  • Master Planning
  • Agricultural Assessment
  • Watershed Mapping
  • Emergency Management
  • Change Detection
Identifiable Features
  • Roads/Sidewalks
  • Utility Right-of-Way
  • Vegetation
  • Airfields/Railways
  • Quarries

University of North Dakota

1959 - 2014

Use the interactive slider below to see the significant changes that have taken place at the University of North Dakota, and surrounding area, from 1959 – 2014.

UND_1959und-2014-2

Our team utilizes LiDAR surface data to rectify aerial images into a seamless, georeferenced orthomosaic of the subject area that includes references to known features and points. Our workflow computes radiometric adjustments, resulting in a distortion-free aerial image, delivering superior radiometric and seamline results. All ortho workflows are supervised by an ASPRS Certified Photogrammetrist to ensure compliance with the latest positional accuracy standards.

What is The Advantage of CIR?

Chlorophyll in plants reflects green wavelengths, making them appear green to the human eye. What we can’t see, however, is the near infrared wavelengths of plants’ internal cell structure. Color infrared imaging (CIR) captures the infrared wavelengths emanating from vegetation, providing a more reliable means of monitoring and analysis.

CIR is used for crop inventory and analysis, crop stresses, monitoring fertilizer applications, and yield estimates. CIR is also used to analyze soil properties such as permeability, salinity, and erosion. The Normalized Difference Vegetation Index (NDVI) can be derived from digital CIR data and is a key indicator in plant analysis.

CIR tends to penetrate atmospheric haze better than natural color, provides sharper imagery, and is especially valuable in hot and humid climates.

Demers Overpass CIR showing vegetation health
Lake Sakakawea CIR showing vegetation health

Have questions or want to get started on your project?

Get in touch with us! We will be happy to talk with you.