84627P0002-LiDAR Based Street Tree Inventory for New York City

Agency: City of New York
State: New York
Type of Government: State & Local
NAICS Category:
  • 115310 - Support Activities for Forestry
  • 561730 - Landscaping Services
Posted Date: Sep 21, 2026
Due Date: Oct 20, 2026
Solicitation No: 84627P0002
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Description

Program: Forestry & Horticulture
Industry: Standard Services
EPIN: 84627P0002
Procurement Name: 84627P0002-LiDAR Based Street Tree Inventory for New York City
Agency: DEPARTMENT OF PARKS AND RECREATION
RFx Status: Planned
Procurement Method: Competitive Sealed Proposal
Release Date: 9/21/2026 12:00:00 AM
Due Date: 10/20/2026 2:00:00 PM
Main Commodity: Parks and Site Work Landscaping and Grounds Services

Show / Hide : Summary Summary
EPIN
84627P0002
Release Date
9/21/2026 12:00:00 AM (Your Local Time)
Estimated Number of Contracts
1.00
Estimated Procurement Value
4,100,000.00
Agency
DEPARTMENT OF PARKS AND RECREATION
Agency Contact First Name
Michael
Agency Contact Last Name
Sciaraffo
Agency Contact Email
michael.sciaraffo@parks.nyc.gov
Concept Report
RFx Title
84627P0002-LiDAR Based Street Tree Inventory for New York City
RFx Status
Planned
Show / Hide : Description Description
The Agency is seeking an appropriately qualified vendor to use ground-based LiDAR equipment to scan trees located on the city's rights-of-way and use a machine learning-based data processing approach to produce a street tree inventory as well as 3D digital model of the city's trees.

This Request for Bids is released through PASSPort, New York City’s online procurement portal. Responses to this CSB must be submitted via PASSPort. To access the CSB, vendors should visit the PASSPort public Portal at https://www1.nyc.gov/site/mocs/systems/about-go-to-passport.page and click on the “Search Funding Opportunities in PASSPort” blue box. Doing so will take one to the public portal of all procurements in the PASSPort system. To quickly locate the CSB, insert the EPIN, 84627P0002, into the Keyword search field. In order to respond to the CSB, vendors must create an account within the PASSPort system if they have not already done so.

The pre-bid conference meeting will be on August 14th, 2026 at 3:00pm.The bid opening date will be on August 21st, 2026 at 3:00pm and will be accessible through a Microsoft TEAMS call. Please go to Passport link in attachments and download the attached Bid Opening Information for the link to attend the meeting.
The Agency is seeking an appropriately qualified vendor to use ground-based LiDAR equipment to scan trees located on the city's rights-of-way and use a machine learning-based data processing approach to produce a street tree inventory as well as 3D digital model of the city's trees.

This Request for Bids is released through PASSPort, New York City’s online procurement portal. Responses to this CSB must be submitted via PASSPort. To access the CSB, vendors should visit the PASSPort public Portal at https://www1.nyc.gov/site/mocs/systems/about-go-to-passport.page and click on the “Search Funding Opportunities in PASSPort” blue box. Doing so will take one to the public portal of all procurements in the PASSPort system. To quickly locate the CSB, insert the EPIN, 84627P0002, into the Keyword search field. In order to respond to the CSB, vendors must create an account within the PASSPort system if they have not already done so.

The pre-bid conference meeting will be on August 14th, 2026 at 3:00pm.The bid opening date will be on August 21st, 2026 at 3:00pm and will be accessible through a Microsoft TEAMS call. Please go to Passport link in attachments and download the attached Bid Opening Information for the link to attend the meeting.
Show / Hide : Key Dates Key Dates
Anticipated Contract Start Date (M/d/yyyy)
1/1/2027
Anticipated Contract End Date (M/d/yyyy)
12/31/2027
Release Date (M/d/yyyy)
9/21/2026
Due Date (M/d/yyyy)
10/20/2026
Bid Opening Date (M/d/yyyy)
12:00:00 AM
Questions Due Date (M/d/yyyy) Agency Users may not respond to your question if it is submitted after this date.
10/7/2026
Show / Hide : Documents Documents
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