Customer challenges
Tree inventories rely on manual surveys and fragmented records; data is siloed across departments; inventories become outdated quickly; cities lack consistent standards for monitoring tree health, canopy and maintenance.
Customer benefits
City-wide tree inventory without surveying every tree manually
Shared data foundation across departments
Faster maintenance and canopy planning
Standardized, auditable urban-forest data
Key features
AI Tree Census & Tree ID
single-tree segmentation and digital ID card for every tree
Photorealistic Twin Base
Centimeter-grade LiDAR + RGB + 3DGS, verifiable accuracy
Tree Attributes
coordinates / DBH / crown / species / health
Cool Route Output
Publishable shaded walking paths with quantified PET improvement
Natural-Language AI Query
ask about tree count, species, health, canopy and maintenance
Tree ID Card AI single-tree segmentation — ID, coordinates, DBH, crown, health for every tree
Issues an ID card per tree from single-tree segmentation, with ID, coordinates, DBH, crown, and health.
Shade Gap Audit Area-wide shade continuity (SHADE index) pinpoints the least-shaded streets
Audits area-wide shade continuity with the SHADE index to pinpoint the least-shaded streets.
Planting Simulation & Species Selection
Simulates planting plans and supports species selection.
Vulnerable Population Prioritization
Prioritizes areas with vulnerable populations.
ESG & Carbon Accounting
Supports ESG reporting and carbon accounting.
Before & after
| Before | After — with Linker AI Nexa |
|---|---|
| Before Manual surveys | After — with Linker AI Nexa AI census, every tree ID'd. Labor −60~80% |
| Before Paper/Excel records | After — with Linker AI Nexa City-wide auto-scan. Audit time −70% |
| Before Fragmented departmental databases | After — with Linker AI Nexa One shared tree-data layer |
| Before Incomplete or outdated tree information | After — with Linker AI Nexa Changes can be monitored over time |