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This Subcontract opportunity from New York was posted on September 22, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Machine Learning & GIS Data Processing

Closed
State & Local

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This subcontract for the New York City Department of Parks and Recreation focuses on machine learning and GIS data processing for urban forestry projects. The selected provider will process raw LiDAR data to detect and classify trees, extract woody material, and analyze tree health and area indices. These results must be integrated into ESRI-compatible file geodatabases and supported by custom APIs for GIS integration. The final deliverables include an ESRI geodatabase and a 3D Digital Twin model. All work must adhere to WCAG 2.1 Level AA accessibility standards and NYC OTI security policies. The project is based in New York City, with a response deadline of October 20, 2026.

General Info

NYC Parks subcontract for ML and GIS tree data processing and 3D modeling.

Documents

This scope was carved out of 84627P0002.

The full solicitation package (9 documents), including the RFP, is on the prime solicitation, not on this scope.

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

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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 → Department Of Parks And Recreation
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Processes raw LiDAR data for prime contractors on NYC Parks urban forestry projects. Develops and applies machine learning models to detect and classify trees, extract woody material, and derive area index and tree health conditions. Integrates results into ESRI-compatible file geodatabases and develops APIs for GIS integration. Complies with WCAG 2.1 Level AA and NYC OTI security policies. Delivers an ESRI geodatabase and 3D Digital Twin model.

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Miguel
Hillary
Keith Deutsch
Christine

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