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Geospatial Imaging Specialist

Denver, CO, USA
Join Sanborn’s award-winning team! Sanborn is looking for a Geospatial Imaging Specialist to provide technical expertise for geospatial imaging (remote sensing, photogrammetry, and Unmanned Aerial System) projects supporting large complex natural and cultural resource management programs, including, but not limited to, forestry, botany, fisheries, hydrology, soils, wildlife, and fire ecology and so much more. The position is responsible for collecting data through various geospatial imaging means, preparing metadata, coordinating projects, and performing all varieties of image and photogrammetric processing. This position provides national/regional/local project support, workflow raster data management, technology evaluations, and general technical functions.

Some travel may be required.

The position is located in Lakewood, CO and is a combination of onsite and offsite telework.

Onsite work shall take place at the Denver Federal Center, Lakewood, CO. The employee must be within commuting distance of the Federal Center as onsite work is required to support the position.


• Bachelor’s degree in a geospatial or related discipline.

• 3 -5 years professional experience (minimum) developing geospatial imaging products.

• Current FAA Part 107 certification.


•Experience conducting field-based geospatial imaging projects including UAS operations, ground control collection, plot level sampling, and/or terrestrial imaging for photogrammetric data capture

•Knowledge of photogrammetric and structure from motion principals including aerial triangulation (AT), semi- global matching (SGM), bundle adjustments, stereo compilation, dynamic camera calibration, and more

•Knowledge of data validation and accuracy assessment techniques for quantification and reporting of error in geospatial datasets

•Experience designing, managing, and maintaining geospatial databases (including Esri file and SDE geodatabases)

•Knowledge of raster, point cloud, and 3D data formats (e.g., geotiff, img, sid, jpg, ascii, las, ply, 3D PDF) and their properties, along with experience developing workflows to process these various data sources

•Professional knowledge of concepts and principles of remote sensing (including sensors, platforms, software packages, and current science and technology trends), and high-level competence in digital image processing, geographic information systems use, and other geospatial technologies

•Direct professional experience with a variety of image processing and photogrammetric software packages including, Erdas Imagine, PhotoScan, Google Earth Engine, and/or Esri’s Suite of Image-related tools

•Professional working competence in the applications of remote sensing technology and functional abilities in geographic projections, transformation, geodetic science, database management, geographic information systems, and statistics are required

•Proven experience working with multiple types and resolutions of remote sensing data. The candidate should be able to demonstrate advanced knowledge of sensor technologies and platforms such as LIDAR, aerial photography, stereo-captured commercial high-resolution satellites, LANDSAT, and Unmanned Aerial Systems (UAS)

•Professional experience coordinating multiple projects

•Proven ability to work within a team context of diverse physical, biological, ecological, technical, and environmental sciences personnel, and external partners such as NGOs, universities, and the general public

•Experience scripting using Python or JavaScript is preferred but not necessary


• Conduct or assist in UAS, close range photogrammetry, and GPS field campaigns to capture remotely sensed datasets.

•Conduct or assist in UAS, close range photogrammetry, and GPS field campaigns to capture remotely sensed datasets

•Coordinate and track project work including field operations and logistics

•Perform image processing procedures such as orthorectification, image registration, atmospheric and radiometric correction, and mosaicking using software including Erdas Imagine and ENVI.

•Derive spectral indices (i.e., NDVI), pan-sharpened imagery, and change detection products from remotely sensed data.

•Perform image classification and time series information products under the supervision of the lead Remote Sensing Specialist using tools such as Google Earth Engine.

•Employ open-source point classification tools including Cloud Compare, and Support Vector Machines (SVM).

•Develop orthoimagery, digital terrain models, 3-D point clouds from UAS and traditional aerial imagery using PhotoScan or similar modern photogrammetric software.

•Process Full Motion Video datasets

•Participate in project teams providing geospatial imaging support.

•Assist in designing geospatial imaging projects with staff and agency partners.

•Attend meetings, conference, and/or seminars to present work and project findings to other federal and academic interests.

•Support the development and delivery of geospatial imaging training content.

•Develop metadata for geospatial imaging datasets compliant with federal standards.


The following forms and inquiries, or their equivalent, will be used to initiate the credentialing process:

• OPM Standard Form 85 or 85P

• OF306

• National Criminal History Check (NCHC)

• Release to Obtain Credit Information

• PIV card application

If selected to fill the position, a candidate would be required to pass a drug screen and satisfy the requirements of a National Criminal History Check (NCHC) to verify the identity of the individual applying for clearance and to determine the individual’s suitability for the position.

Applicant must be a U.S. citizen or possess a current work visa.

Sanborn offers a comprehensive health and wellness program which includes medical, dental, vision, 401k, holiday, PTO, EAP, disability and life insurance benefits.

TO APPLY: Visit our website: to apply for this position.

Sanborn is a veteran/disability/Equal Opportunity Employer.

Apply via email to

The Sanborn Map Company, Inc.
1935 Jamboree Drive, Suite 100
Colorado Springs, CO, 80920 USA


Printable version of this page Posted 2023-03-06 under Geography

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