Technology Stack Overview

Deep Forestry Integration (In Active Integration)

Partnership being formalized through contracts. Deep Forestry provides LiDAR, drone-based forest inventory, and digital prescription workflow capabilities. The integration covers three core treatment types:

1. Post-Fire, Post-Salvage Restoration: drone-based LiDAR estimates dead standing stem count and volume, diameter/height distribution, species mix, carbon volume, accessibility constraints, and brush regrowth density. Carbon calculations combine field plots, LiDAR-derived structure, species assumptions, and allometric equations.
2. Utility Wildfire Resilience Corridors: beyond the ~75-foot cleared utility corridor, treating a wider resilience zone extending ~500 feet in each direction. Inventory separates material into value pathways: merchantable timber, pyrolysis-grade stems, mastication/pile-burn debris, retained trees, protected species, access routes, landing locations, terrain constraints. Prescription is selective, retaining slower-growing hardwood species (especially oaks) closer to power lines.
3. General Forest Thinning: stands at 200-400+ trees per acre thinned to 70-100 TPA targets. LiDAR data on current TPA, basal area, species composition, diameter distribution, height/canopy structure, crown spacing, ladder fuel risk. The digital prescription workflow: fly and scan, build inventory, define prescription, separate material by value, execute treatment, verify removal/retention/restoration, monitor over time. Future integration with Komatsu cut-to-length equipment systems (MaxiXT, MaxiFleet, StanForD-style structures).

Komatsu Partnership (Working Partnership)

Working partnership with no formal documentation, but regular interaction across multiple departments of Komatsu in development of automation and technology. Emergence acts as a partner and advisor across Komatsu strategy and scope. Equipment includes Komatsu 931 and 875-1 models for forest treatment operations. Future integration targets: treatment boundaries, exclusion zones, preferred access routes, retain-tree guidance, cut-priority zones, landing locations, and production verification connected to digital twin platform.

Digital Twin Platform (In Development)

Data platform being developed with Dr. Gregory Pang (Element Data Science). Integrates three data layers: (1) landscape characterization via LiDAR, satellite imagery, and drone-based 3D photogrammetry; (2) operational logistics capturing real-time harvesting rates, equipment performance, transport routing, and processing throughput; (3) conversion and market endpoints tracking biomass from processing through to end products.

Tesla Semi (Planned)

Under evaluation for biomass logistics operations. Not a signed relationship; work in progress.

PG&E Utility Technology Research

Emergence has conducted extensive research into PG&E's drone and LiDAR vendor ecosystem, EPIC funding programs, and vegetation management technology stack. This research positions Emergence to integrate with utility wildfire resilience corridor programs and understand the technology standards, vendor requirements, and procurement pathways used by California's largest utility. Key areas of understanding include: Sharper Shape Living Digital Twin, drone-in-a-box remote operations, autonomous wildfire suppression technology, and the ISNetworld contractor prequalification process.