Skip to main content

Silvatech

MONITORING OF FOREST AREAS


CarbonX Engineering Solution, S.L.

Department of the Environment, Housing, and Land Use Planning – Regional Government of Castile and León

Smart Forest Monitoring System

What is it and what is it used for?

Silvatech is a digital solution for monitoring forest stands using 3D laser scanning, SLAM, AI, and precision georeferencing. It enables the creation of three-dimensional models of the forest, the measurement of heights, diameters, density, biomass, and vegetation changes, and the transformation of that data into useful information for forest inventories, risk prevention, and technical decision-making.

TECHNICAL SPECIFICATIONS
Leading organization
CarbonX Engineering Solutions S.L.
Administration
Department of the Environment, Housing, and Land Use Planning (Regional Government of Castile and León)
Coordinator
Luis Carlos Becerril Parralejo – CEO of CarbonX
Technologies
AI, Big Data, Satellites/drones, modeling, LiDAR, SLAM, GNSS RTK, 3DFin, and GIS.
Target audience
Forestry professionals, government agencies, companies, forest owners, technology centers, carbon sink managers, and rural organizations
Project framework
RetechFOR · Next Generation EU
Bird's-eye view of Pobladura del Valle

The problem it solves


It addresses the lack of accurate, up-to-date, and georeferenced forest data. Traditional inventories are costly, time-consuming, infrequent, and have limited ability to detect structural changes, biomass accumulation, pests, decay, or fire risks. Silvatech bridges that gap through more agile, objective, and predictive monitoring.

"Silvatechtransforms forest data into accurate insights to anticipate risks, improve forest management, and accelerate the digitization of rural areas."

What makes it innovative?

"Digital Twins"


Operational integration of terrestrial 3D laser scanners, SLAM, AI/ML, and GNSS RTK to create accurate, comparable, and georeferenced digital forest models (“digital twins”).

Predictive Forest Management


It enables progress toward predictive forest management, capable of detecting risk patterns and supporting preventive decisions in real time or on a regular basis.

Expected impact

Silvatech will improve the regular monitoring of forest stands, preventing the risk of fires and pest infestations, optimize silvicultural practices, reduce inventory costs and time, and strengthen the resilience of forests. Socially, it will promote skilled employment in rural areas and provide small and medium-sized enterprises, local governments, and forest owners with access to advanced digital tools.