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Remote Sensing Specialist / GIS Analyst

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This subcontract opportunity is for a Remote Sensing Specialist / GIS Analyst to support the U.S. Geological Survey under the Department of the Interior. The selected provider will perform technical research and analysis for prime contractors focusing on land-cover monitoring projects. Key responsibilities include implementing statistical and sampling strategies to classify public lands and conducting rigorous accuracy assessments of land cover products while adhering to USGS Fundamental Science Practices. The role requires proficiency in industry-standard software such as ArcGIS, ERDAS IMAGINE, ENVI, or QGIS/GDAL, along with statistical programming in R or Python. Deliverables for the contract include technical analyses, accuracy assessment reports, and digital data sets. The solicitation was posted on November 2, 2026, with a response deadline of December 2, 2026, falling under NAICS code 541370.

General Info

Remote Sensing Specialist for USGS land-cover monitoring using GIS and statistical programming.

Agency

Department Of The Interior → US Geological Survey

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of G27AS00040.

The full solicitation package (5 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Cooperative Agreement for affiliated Partner with the Great Lakes Northern Forrest Cooperative Ecosystem Studies Unit

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Timeline

Posted

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Submission deadline

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Organization & Contact Information

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AgencyDepartment Of The Interior → US Geological Survey
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of The Interior → US Geological Survey
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs technical research and analysis for prime contractors on USGS land-cover monitoring projects. Implements sampling and statistical strategies to classify public lands and conduct accuracy assessments of land cover products. Utilizes ArcGIS, ERDAS IMAGINE, ENVI, or QGIS/GDAL and statistical software like R or Python. Adheres to USGS Fundamental Science Practices. Delivers digital data sets, accuracy assessment reports, and technical analyses.

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University of California, Berkeley

POSTED

about 6 hours ago

DEADLINE

in 21 days
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