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This Government Contract opportunity from Department Of Defense was posted on May 14, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Invasive Vegetation Inventory and GIS Mapping

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The contract involves conducting extensive field surveys to identify, map, and catalog invasive and noxious plant species across various project areas within multiple counties in Missouri. The primary objective is to collect detailed geospatial data and produce GIS maps that illustrate species distribution, density, and treatment history. This information is crucial for managing and mitigating the impact of invasive vegetation on local ecosystems. Issued by the Kansas City District of the Department of Defense, the subcontract pertains to the NAICS code 541370, which relates to surveying and mapping services. The solicitation was posted on May 14, 2026, with a response deadline set for June 15, 2026. While specific details such as the place of performance and point of contact are not provided, the contract emphasizes the delivery of high-quality geospatial data products to support ongoing environmental management efforts.

General Info

Conduct extensive field surveys and produce GIS maps of invasive plants across Missouri counties.

Documents

This scope was carved out of W912DQ-26-2-A001.

The full solicitation package (8 documents), including the RFP, is on the prime solicitation, not on this scope.

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USACE Kansas City District: Management of Undesirable Plants, St. Charles County, Missouri

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Timeline

PhaseClosed
Posted

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Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → Kansas City District
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Conduct field surveys to identify, map, and catalog invasive and noxious plant species across project areas in multiple Missouri counties. Deliver geospatial data and GIS maps showing species distribution, density, and treatment history.

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