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This Government Contract opportunity from Government of Canada was posted on April 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

LiDAR Point Cloud Classification and Processing

Closed
International

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

Active Opportunities Like This One

NAICS: 541370
New
Federal
Automated Vertical Obstruction Identification and Detection (AVOID)
Solicitation # HM047626R0061
The National Geospatial-Intelligence Agency is seeking a contractor to develop and deliver an automated system for identifying and detecting vertical obstructions, branded as AVOID, using advanced computer vision and machine learning technologies integrated with high-resolution imagery and elevation data. The solution must enable rapid, accurate detection and characterization of vertical obstructions in both dense urban and rural environments to support low-altitude aviation mission planning, rehearsal, and geospatial intelligence analysis. The system is designed to enhance decision-making by providing timely, actionable data to military and operational planners, while significantly improving the efficiency and speed of current workflows through automation. The contractor must deliver a scalable, enterprise-level capability that reduces the personnel and financial burden associated with manual vertical obstruction analysis. This includes deploying the technology to operate effectively across complex terrain and infrastructure, helping aviation assets navigate safely by avoiding natural and manmade obstructions. The solicitation, numbered HM047626R0061 and classified under NAICS code 541370, is open for responses until August 19, 2026, with inquiries directed to Ryan Switzer and Justin Koesterer at the NGA’s office in Arnold, Missouri. Performance will occur in Springfield, Virginia, and no set-aside provisions apply, meaning all eligible entities may compete.
National Geospatial-Intelligence Agency

POSTED

about 6 hours ago

DEADLINE

in 14 days

AI Contract Overview

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The contract requires the processing of raw LiDAR data into fully classified point clouds, specifically separating ground, vegetation, and building features using a combination of automated algorithms and manual verification to ensure precision. Work must strictly adhere to the vertical accuracy and pulse density standards outlined in CSA W229.1:25, ensuring the final deliverables meet federal geospatial data quality benchmarks. The task involves both technical execution and quality control to validate classifications against established criteria. This subcontract, posted by the Department of Natural Resources under the Government of Canada, targets qualified service providers with expertise in airborne LiDAR processing. The opportunity is open for responses until May 19, 2026, and performance is expected to occur across Canada. While no specific set-aside provisions are applied, the NAICS code 541370 identifies the work as geospatial service delivery, indicating a demand for specialized geospatial data analysts and technicians. Bidders must demonstrate capacity to handle large-scale point cloud data with compliance to Canadian geospatial standards.

General Info

Process raw LiDAR data into classified point clouds meeting CSA W229.1:25 standards across Canada.

Agency

Government of Canada → Department of Natural Resources (NRCan)

NAICS

541370 - Surveying and Mapping (except Geophysical) ServicesView NAICS

Place of Performance

Canada, CAN

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGovernment of Canada → Department of Natural Resources (NRCan)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Government of Canada → Department of Natural Resources (NRCan)
Office AddressN/A
ContactsNo contact information available

Full Description

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Process raw LiDAR data into classified point clouds (ground, vegetation, buildings) using automated and manual methods, meeting vertical accuracy and pulse density requirements per CSA W229.1:25.