AI for Forest Inventory & Biomass Estimation
Combine satellites, LiDAR, and machine learning to map species, canopy, and biomass/carbon for better management and reporting.
Forest inventories are costly and infrequent. AI leverages EO, LiDAR, and sample plots to estimate biomass and carbon, update maps faster, and support MRV, supply planning, and conservation.
Degradation alerts and regrowth tracking.
Compliance for carbon projects and sustainability claims.
Road/landing planning; logistics for harvest.
Ownership/management boundaries; harvest records; roads.
EO/LiDAR pipelines with cloud masking and harmonization.
Plot database with QA/QC and allometric consistency.
Frequently asked questions
What reports are required for Verra and Gold Standard MRV projects?
Reports for MRV (Verra/Gold Standard) with uncertainty bands.
How can I use mysimulator.uk to plan harvest and regrowth scenarios?
mysimulator.uk allows you to create detailed harvest and regrowth scenarios by adjusting parameters like planting density, rotation lengths, and management practices, enabling informed decisions about forest regeneration.
What is the process for combining aggregate plots with EO/LiDAR data for quality control?
The system facilitates the integration of aggregate plot data with Earth Observation (EO) and LiDAR imagery through a robust QA/QC and harmonization workflow, ensuring accurate and reliable results.
How do I train and validate baseline biomass models within mysimulator.uk?
You can train initial biomass models using available data and then rigorously validate their performance against a separate set of withheld plots to assess accuracy and identify potential biases before deploying the model for broader analysis.
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.