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Machine Learning Modeling for Vegetation Mapping

Active

Federal

Response Deadline09/17/2026, 12:00:00 AM UTC

Contract Overview

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

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This subcontract, titled Machine Learning Modeling for Vegetation Mapping, supports prime contractors on USGS vegetation mapping projects for the Department of the Interior. The scope of work involves developing machine learning models to interpret satellite data and generating 3-meter gridded fractional-cover products utilizing high-performance computing resources and ML frameworks. Additionally, the contractor is responsible for performing quantitative accuracy and error assessments to ensure the quality of the delivered products and reports. The opportunity is designated as a Total Small Business Set Aside under NAICS code 541715 and is managed by the Office of Acquisition Grants. Performance of the contract is based in Boise, Idaho. The solicitation was posted on September 14, 2026, with a response deadline of September 17, 2026.

General Info

Small business subcontract for USGS machine learning vegetation mapping and satellite data analysis.

Agency

Department Of The Interior → Office Of Acquisiton GrantsView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

Boise, ID, 83702, USA

Set-Aside

SBA

Documents

This scope was carved out of 140G0326Q0222.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

HIGH-ACCURACY MAPS POST-FIRE VEGETATION

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Timeline

PostedSep 14

subcontract

Response DeadlineSep 17

Submission deadline

Response Deadline

09/17/2026, 12:00:00 AM UTCin 2 days

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Organization & Contact Information

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AgencyDepartment Of The Interior → Office Of Acquisiton Grants

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of The Interior → Office Of Acquisiton Grants

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ContactsNo contact information available

Full Description

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Performs computational and machine-learning modeling for prime contractors on USGS vegetation mapping projects. Develops ML models to interpret satellite data and generate 3-meter gridded fractional-cover products using HPC resources and ML frameworks. Performs quantitative accuracy and error assessments. Delivers 3-meter gridded fractional-cover products and accuracy reports.

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