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This Government Contract opportunity from New York was posted on October 24, 2025. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Geospatial Data Collection and Mapping

Closed
State & Local

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The contract entails the collection, processing, and delivery of digital geospatial datasets for the Bayfront area, specifically including digital elevation models, triangular irregular networks, and ESRI Grids, derived from aerial and satellite imagery. All deliverables must strictly adhere to Federal Geographic Data Committee standards and National Map Accuracy Standards to ensure precision and interoperability. The work is scoped as a subcontract under NAICS code 541370, with performance centered in Nassau, though the contracting agency is listed as the City of Long Beach despite an associated organizational reference to New York. The solicitation was posted on October 24, 2025, and responses are due by November 25, 2025, at 8:00 PM. The opportunity is accessible via the New York State Contract Reporter portal, but no specific point of contact or set-aside provisions are indicated.

General Info

Collect and deliver geospatial datasets for Bayfront per FGDC and NMAS standards, subcontract under NAICS 541370, due November 25, 2025.

Documents

This scope was carved out of 25-054.C1.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Bayfront Development Planning Study

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyNew York → City of Long Beach
ContactsNo contacts available
OfficeN/A
Organization / AgencyNew York → City of Long Beach
Office AddressN/A
ContactsNo contact information available

Full Description

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Collect, process, and deliver digital geospatial datasets including DEMs, TINs, and ESRI Grids for the Bayfront area, using aerial/satellite imagery and compliant with FGDC and National Map Accuracy Standards.

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Miguel
Hillary
Keith Deutsch
Christine

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