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Airborne LiDAR Acquisition and Classification

Active

International

Response Deadline03/31/2040, 06:00:00 AM UTC

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 subcontract involves providing airborne data acquisition and point cloud classification services for prime contractors on projects for the Department of Natural Resources Canada. The scope of work includes capturing topographic LiDAR data via aircraft or UAVs and classifying raw point clouds into specific categories such as ground, vegetation, and buildings. The contractor is responsible for utilizing high-performance geospatial processing software to deliver final outputs in LAS or LAZ formats, along with Project Planning and Data Quality Assurance Reports. This engagement falls under NAICS code 541370 and is performed within Canada, with a response deadline set for March 31, 2040.

General Info

Airborne data acquisition and point cloud classification services for Department of Natural Resources Canada.

Agency

Government of Canada → Department of Natural Resources (NRCan)

NAICS

541370 - Surveying and Mapping (except Geophysical) Services

Place of Performance

Canada, CAN

Set-Aside

NONE

Documents

This scope was carved out of NRCan-5000045352/F.

The full solicitation package (10 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFSA - Work related to airborne topographic LiDAR data

AI Contract Breakdown

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Timeline

PostedAug 6

subcontract

Response DeadlineMar 31

Submission deadline

Response Deadline

03/31/2040, 06:00:00 AM UTCin over 13 years

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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 / AgencyGovernment of Canada → Department of Natural Resources (NRCan)

Office AddressN/A

ContactsNo contact information available

Full Description

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Performs airborne data acquisition and point cloud classification for prime contractors on Natural Resources Canada (NRCan) projects. Captures topographic LiDAR data using aircraft or UAVs, classifies raw point clouds into ground, vegetation, and building categories, and executes QA reporting. Utilizes high-performance geospatial processing software to deliver classified LiDAR files in LAS or LAZ formats, Project Planning Reports, and Data Quality Assurance Reports.

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RFSA - Work related to airborne topographic LiDAR data

Solicitation # NRCan-5000045352/F

Natural Resources Canada (NRCan) has issued Request for Supply Arrangement (RFSA) NRCan-5000045352/F to establish a pool of pre-qualified suppliers for professional services involving airborne topographic LiDAR data. The scope of work is divided into four categories: the acquisition and classification of LiDAR data and supporting aerial orthophotos, the classification of LiDAR data, the classification of existing NRCan-provided data, and the inspection of existing LiDAR classifications. This RFSA cancels and supersedes all previous versions from NRCan-5000045352 through NRCan-5000045352/E. As a supply arrangement, this is not a legally binding contract for services but a framework that allows NRCan to solicit bids from qualified suppliers for specific projects via subsequent calls for tender. Qualification is based on a two-phase process where suppliers must meet mandatory requirements and achieve a minimum point rating for Category 1 to be considered responsive. Those qualifying for Category 1 automatically qualify for Categories 2, 3, and 4. Deliverables, which may include project planning reports, classified LiDAR files in LAS or LAZ format, and ESRI Shapefiles, are evaluated using a performance report card focusing on technical accuracy, comprehensiveness, and punctuality. The arrangement includes specific provisions for Indigenous business set-asides and requires quarterly reporting on all call-up activities. Professional services are governed by general conditions based on complexity, ranging from medium to high complexity requirements.

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