SENSING COMPONENT

Cylindrical LiDAR Scanner

Multi-beam horizontal scanning capturing detailed forest floor, terrain elevations and trunk diameters.

COLLISION AVOIDANCE

Stereo Avoidance Array

Twin forward-facing stereoscopic cameras feeding reactive below-canopy autonomous pathing.

COMPUTE CORE

Dual-Truss Flight Chassis

Lightweight aerospace carbon frame with vertical landing legs optimized for rugged terrain.

AUTONOMOUS FORESTRY INTELLIGENCE

INDIVIDUAL TREE-LEVEL TRUTH

Malaysia’s regional partner for Deep Forestry—survey, analyze, and optimize stands with autonomous below-canopy flight, cloud AI, and hyperspectral diagnostics for forestry and mineral exploration.

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The challenge

Regional operations still rely on plot averages, manual calipers, and above-canopy flights that miss stem-level detail below the canopy. ALJ Global helps enterprises move to georeferenced, tree-by-tree inventory—with validated accuracy and ESG-ready insights.

HOW IT WORKS

Survey. Analyze. Act.

Delivered in Malaysia and the region through ALJ Global, powered by Deep Forestry technology.

The three integrated systems below deliver this end-to-end.

01. CAPTURE

Autonomous surveying

Drones navigate below the canopy, scanning every tree and uploading data to the cloud—fully automatic, no professional pilot required.

02. PROCESS

Precision AI

Cloud AI derives height, diameter, volume, species, and health per tree from fused 3D and spectral data—ground-truthed against field validation.

03. INSIGHT

Actionable outcomes

Clear dashboards for harvest planning, carbon and ESG evidence, and biodiversity reporting—without requiring in-house GIS expertise.

COMMERCIAL VALUE CHAIN

Three systems, one workflow.

Helping regional enterprises transition from estimated sampling plot averages to georeferenced tree-level assets for better margin planning and EUDR reporting.

SYSTEM 01 BELOW-CANOPY

Below-Canopy Autonomous Drones

Flies autonomously between tree rows, no professional pilot required. Builds a high-resolution 3D replica of every stem with analysis along the full trunk, surveying 500+ trees in a 10-minute flight (up to 1 ha per sortie). Data uploads to the cloud automatically for processing.

  • Georeferenced stem count and canopy mapping
  • Critical first 11 m sawlog zone measurements
  • Per-tree traits: DBH, height, and conicity
  • Obstacle-aware autonomous navigation below canopy
SYSTEM 02 ABOVE-CANOPY

Hyperspectral 3D Payloads

Flown above the canopy to scale capture across the landscape. Hyperspectral-LiDAR fusion delivers a 3D replica with species and health signals per tree, 50,000+ trees in 30 minutes, up to 100 ha per flight, extending below-canopy ground truth to stand scale.

  • Up to 100 ha surveyed per flight
  • Precision hyperspectral species classification
  • Scales System 01 ground-truth efficiently
  • Multi-modal canopy health and structure layers
SYSTEM 03 AI DATA INSIGHTS

End-to-End Cloud AI Pipeline

Automated point cloud segmentation and cloud AI analysis when you connect the drone or payload online. Tree-level metrics, visualization, and historical trends, plus biomass, carbon, and ESG evidence with auditable chain-of-custody for reporting.

  • Tree-level carbon and biomass carbon pools
  • ESG and biodiversity insights without GIS expertise
  • ERP and API integrations
  • Transparent, auditable chain-of-custody trails
MISSION COMPONENT PROFILE

Hardware Engineered for Rugged Canopies

Built for real below-canopy work. The carbon-composite frame uses twin truss arms to stay stiff in dense forest.

Forest technology from Deep Forestry, Uppsala, Sweden.

Below-canopy autonomous forest survey

5% Max Stem Error

Validated mean absolute error (MAE) under 5% along the entire trunk profile.

Obstacle Mitigation

Autonomous indoor/outdoor reactive navigation mapping paths around tree stems.

Simulate LIDAR Laser Sweep:
NEW TECHNOLOGY SPECTRUM

3D Hyperspectral Mineral Prospecting

The same below-canopy navigation flies within meters of steep outcrops, mapping geology with centimeter-scale detail.

Hyperspectral mineral specimens, museum display reference
PROSPECTING HARDWARE CAPABILITIES
Payload
2–4 kg integrated sensor arrays
Resolution
4 cm @ 100 m; 15 cm fused @ 100 m; 1 cm @ 20 m; 1 mm @ 2 m (close range)
Spectrum
VNIR 350–1000 nm (4 nm); SWIR to 2500 nm on request
Coverage
Up to 100 ha surveyed in 45 min
Outputs
Mineralogical heat maps and 3D hyperspectral outcrop cubes
  • Hyperspectral-LiDAR sensor fusion
  • Close-range autonomous outcrop mapping (1 cm @ 20 m; 1 mm @ 2 m)
  • Surface mineralogy from hyperspectral signatures and AI analysis
End-to-end Cloud AI Pipeline

Automated AI analysis in the cloud, connect the drone or payload online for mineral finding and deliverables.

ACTIVATE SPECTRUM HEAT MAP:
PORTAL SIMULATOR

Quantifying Commercial Forestry Yields

Evaluating the first 11 meters of trunk diameter, straightness, and conicity determines the margin premium between high-value sawlogs and pulpwood. Illustrative portal metrics below (deck example: Tree 184).

Stem profile error: validated <5% along trunk length; ~1.6 cm mean absolute error overall in Radiata pine trials (see Validation).

Tree-level sawlog pulpwood and biomass breakdown
PORTAL CALIBRATION CONTROLS ILLUSTRATIVE SIMULATION
FLIGHT ALTITUDE (SURVEY): 12.0m
Est. Avg DBH 34.8 cm
Volume per Tree 1.84 m³
Density / Hectare 548 Trees
Overall Stem MAE 1.6 cm

Product Volume Distribution Profiles

High-Value Sawlog Zone (0 to 11m) 56%
Pulpwood Volume Share 28%
Residual Biomass Weight 16%
Deep Forestry portal dashboard and stem map
COMMERCIAL VERIFICATION

Validated Success Stories

Deployments by Deep Forestry globally; accuracy metrics from published pilots and government validation.

30–100×

Faster than manual methods (deployment-dependent)

<5%

Stem profile MAE along full trunk (validated trials)

Tree-level

Georeferenced inventory per stem, not plot averages only

KAJIMA CORPORATION JAPAN

ESG & Below-Canopy Inventory

Japan’s forestry relied on slow manual labor; above-canopy drones lacked below-canopy precision. Deep Forestry mapped forests tree-by-tree with autonomous below-canopy flight, delivering inventory and ESG transparency. Verified against OWL laser and caliper baselines across multiple pilots.

30–100× Throughput vs manual methods (deployment-dependent)
“Deep Forestry’s AI and drone technology will transform forestry across Japan.” , Hiromasa Amano, President, Kajima Corporation
AUSTRALIAN GOVERNMENT SOUTH AUSTRALIA

Radiata Pine Accuracy Validation

Government-funded industrial pilot validating Mean Absolute Error (MAE) via direct comparison against full-stem harvester metrics.

1.6 cm Overall stem MAE; profile error under 5% along full trunk length
CESEFOR SPAIN

Precision Inventory & Logistics

Forest surveys relied on manual caliper methods—slow, costly, and incomplete for inventory and logistics. Autonomous drone assessments delivered full-stem measurements with high precision and automated forest inventory.

24 hr Individual-tree forest analysis turnaround (Cesefor deployment)
“Deep Forestry’s AI-driven data analysis delivers speed and accuracy we couldn’t achieve with our other drones.” , Antonio de Marco Blanco, Innovation Manager, Cesefor
HIGH COAST FORESTRY SWEDEN

Precision for Major Forest Owners

Serving Sweden’s largest forest companies (including SCA, Stora Enso, and Sveaskog), High Coast Forestry needed individual-tree data beyond manual and conventional drone surveys. Autonomous surveys and AI analytics delivered precise georeferenced tree data for major clients.

Stand-scale Individual-tree inventory integrated into forestry value chain
“A game-changer for forest planning. Deep Forestry gives us the accuracy we’ve always needed.” , Alexander Ramén, CEO, High Coast Forestry
REGIONAL DEPLOYMENT FRAMEWORK

ALJ Global Integration Path

01

Digital Simulation

Use-case verification

Low-cost operational fit checks executing simulated path runs against real local timber configurations.

02

Onsite Field Validation

Accuracy proofing

Active local pilot deployment in selected blocks, testing terrain limits and sensor coverage performance.

03

Operational Pilot

Downstream routing

A full quarterly deployment mapping plantation volumes directly to downstream supply planning metrics.

Deployment path

Digital simulation → onsite validation → operational pilot. Ready to explore your stand or concession?

Request a pilot

Technology partners

Survey-as-a-service or technology deployment in Malaysia and the region through ALJ Global—coordinated with Deep Forestry, Uppsala. Learn more at deepforestry.com

ALJ Global

ALJ Global

Malaysia representative & regional deployment

Deep Forestry

Deep Forestry

Forest technology · Uppsala, Sweden

CONTACT

Ask us anything or request a pilot

Tell us about your forestry or mineral use case. ALJ Global can arrange survey-as-a-service or a regional technology pilot with Deep Forestry systems. We will respond to schedule a digital simulation, field validation, or operational deployment.

ALJ GLOBAL SDN BHD · No.2309, Tingkat 1, Jalan Sj 10/1, Taman Seremban Jaya, 70450 Seremban, Negeri Sembilan.