Treescape provides a cloud‑based platform that combines satellite imagery, LiDAR, and sensor data to generate interactive 3D models of trees and vegetation across large geographic areas. Users can analyze tree health, canopy coverage, and growth trends, receive automated change‑detection alerts, and export GIS‑compatible reports for planning, compliance, and sustainability projects.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses and organizations lack an efficient way to visualize, analyze, and manage large-scale tree and vegetation data across diverse geographic locations.
Solution
Treescape offers a cloud-based platform that aggregates satellite imagery, LiDAR scans, and on‑ground sensor data to create detailed, interactive 3D models of urban and forested environments. Users can explore these models through a web interface, apply custom analytics to assess tree health, canopy coverage, and growth trends, and generate reports for planning or compliance purposes. The platform integrates with GIS tools via standard APIs, allowing seamless data exchange with existing workflows. Automated change detection alerts users to significant vegetation changes, supporting proactive maintenance and sustainability initiatives.
Target Audience
Primary customers are municipal planning departments, utility companies, and environmental consulting firms that require detailed vegetation intelligence for infrastructure management and sustainability projects.
Features
- High‑resolution 3D tree mapping using multi‑source remote sensing data
- Real‑time health metrics derived from spectral analysis and growth models
- GIS‑compatible API for data import/export and integration with existing spatial tools
- Automated change detection and alert system for canopy loss or disease outbreaks
- Customizable reporting engine with export options for PDF, CSV, and shapefiles