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This Government Contract opportunity from Georgia was posted on July 16, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Civil Engineering and Surveying for Wastewater Infrastructure Flood-Proofing

Closed
State & Local

Contract Overview

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NAICS: 541370
New
SLED
84627P0002-LiDAR Based Street Tree Inventory for New York City
Solicitation # 84627P0002
The New York City Department of Parks and Recreation is seeking a qualified vendor to conduct a comprehensive citywide street tree inventory of approximately 743,723 trees across 8,000 linear miles of rights-of-way. The project requires the use of ground-based LiDAR technology combined with machine learning and AI algorithms to produce a geospatial dataset in an ESRI-compatible file geodatabase and a 3D digital twin of each tree and its surrounding streetscape. Data capture must occur during the leaf-on period between mid-May and mid-September, adhering to strict technical specifications including a minimum point density of 1,000 points per square meter and specific accuracy thresholds for tree height, diameter at breast height, and crown metrics. The contract is awarded based on the most advantageous proposal, ranking shortlisted candidates by the lowest price per technical point. Key deliverables include a detailed workplan, the geospatial dataset, the interactive 3D model, and a final methodology report. Vendors must comply with various New York City regulations, including the Iran Divestment Act, Local Law 34, and Community Hiring Contract Riders. All proposals and administrative certifications must be submitted through the NYC PASSPort portal. Payment is processed via electronic funds transfer, and the vendor must adhere to NYC Office of Technology and Innovation information security and cloud services policies.
Department Of Parks And Recreation

POSTED

about 15 hours ago

DEADLINE

in 5 days

AI Contract Overview

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The contract requires professional surveying and civil engineering services to elevate the wet well and regrade the surrounding land at the US HWY 1 Pump Station in order to mitigate flood risks and enhance the resilience of wastewater infrastructure. The work is focused on preventing flooding-related disruptions by modifying the site’s topography and structural elevation to ensure long-term operational reliability under extreme weather conditions. The project is classified under NAICS code 541370, indicating it falls under engineering services, and is structured as a subcontract opportunity issued by the City of Wadley, Georgia. Responses must be submitted by August 14, 2026, with the solicitation posted on July 16, 2026, allowing potential contractors a limited window to prepare and submit proposals. Although no set-aside designation is specified, the location of performance is tied to the pump station on US HWY 1, ensuring that all services must be delivered on-site within the jurisdiction of the City of Wadley. The contract aims to strengthen critical public infrastructure against environmental threats, emphasizing technical precision, adherence to engineering standards, and compliance with local and regional flood prevention guidelines.

General Info

Elevate wet well and regrade land at US HWY 1 Pump Station to prevent flooding and enhance infrastructure resilience.

Documents

This scope was carved out of RFQ 2026-01.

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

View the prime solicitation

(RFQ 2026-01)

AI Contract Breakdown

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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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AgencyGeorgia → City of Wadley
ContactsNo contacts available
OfficeN/A
Organization / AgencyGeorgia → City of Wadley
Office AddressN/A
ContactsNo contact information available

Full Description

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Provide professional surveying and civil engineering design services to elevate the wet well and regrade land at the US HWY 1 Pump Station to prevent flooding.

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