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LiDAR Data Classification and Processing

Active

Canada

Contract Overview

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

AI Contract Overview

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This contract involves the processing and classification of raw LiDAR point cloud data into distinct categories including ground, vegetation, buildings, and water. The work includes applying noise filtering techniques, developing ground models, extracting relevant features, and converting the processed data into LAS or LAZ file formats. All deliverables must comply with the standards set by the Department of Natural Resources Canada (NRCan). The contract is a subcontract under the NAICS code 541370, which relates to scientific and technical consulting services. It is managed by the Government of Canada's Department of Natural Resources and the work is to be performed within Canada. The contract was posted on March 31, 2026, and aims to support NRCan’s data processing requirements by ensuring high-quality, classified LiDAR datasets suitable for various environmental and land-use applications.

General Info

Process and classify LiDAR data into categories, applying noise filtering and meeting NRCan standards.

Agency

Government of Canada → Department of Natural Resources (NRCan)View Agency

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

PostedMar 31

subcontract

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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)

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Process raw LiDAR point cloud data into classified datasets (ground, vegetation, buildings, water) with noise filtering, ground modeling, feature extraction, and conversion to LAS/LAZ formats compliant with NRCan standards.

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