Tesera Systems Inc.
We are a team of smart creatives and innovators…
connecting people + data + technology
Accurate, scalable and cost-effective high resolution
forest and natural resource inventory solutions
Seeing is believing
Founded in 1997, Tesera is an employee-owned technology company. Our team reflects a unique combination of forestry and data IT skills and experience. We offer fully managed and transparent forest and natural resource inventory solutions.
We offer the most reliable, accurate, scalable, timely and cost-effective high resolution inventory solutions. Our AI-based machine learning inventory solutions are versatile, and can support multiple data sources and applications. We also provide flexible solutions to visualize and continually update your forest and natural resource inventories. Let’s connect… we’ll be glad to show you a live demo…
High Resolution Inventory Solutions
See the forest landscape and the trees, a more accurate inventory
HRIS integrates AI-based, machine learning and advanced analytics with Enhanced Forest Inventory (EFI) and Individual Tree Inventory (ITI) capabilities. Our unique and transparent approach to data aggregation and analytics empowers our clients to discover hidden and sustainable opportunities, and realize new value from their forestry and natural resource assets.
HRIS solutions are flexible and fully scalable …from small woodlands to extensive forest and natural resource landscapes covering millions of acres and hectares. See what our clients and partners have to say…
HRIS, SIMPLY BETTER
Use your inventory to better manage forest and landscape planning, harvest scheduling, ecosystem services, support carbon markets and other applications.
“We produce a more accurate, scalable and consistent inventory in significantly less time and cost …when compared to conventional inventories.
Our focus is on delivering the best forest and natural resource inventory solutions available in the world.”
Bruce MacArthur, President & CEO
Tesera Systems Inc.
CONVENTIONAL FOREST INVENTORY DOESN’T CUT IT
Unreliable and not scalable
Most inventories rely on low resolution imagery, broad extrapolations from ground sample plots, and are not timely or accurate.
A new generation of approaches and solutions are now available to better manage your forest and natural resource assets.
Inventories are evolving from labour intensive, manual and analog systems with broad-brush prescriptions to smarter, automated, machine learning, intelligence-based inventory solutions that feed supply chains using high resolution inventory data and precise prescriptions.
THE BEST INVENTORY
Your best choice
HRIS offers a more a more accurate, scalable and consistent forest and natural resource inventory.
Our advanced fully-scalable vector-based technology solutions use LiDAR, CIR, multispectral satellite imagery, ground plot and other data as inputs.
HRIS reduces the time and money spent on timber cruising and ground plots, harvest planning, market and log forecasts.
HRIS solutions can support multiple data sources and applications.
Our solutions are versatile, and are based on our client’s vision and needs. We can also provide a select version of HRIS in cases where clients have less access to data.
UPDATING CHANGES TO YOUR INVENTORY
Continual data updates
HRIS enables continual updates of your forest and natural resource inventory. Discover more insights and better understand the value of your environmental assets.
More timely, scalable and relevant data is a better option. It enables decisions with fewer data points, supporting valid analysis with less errors and fewer plot samples.
Identify and manage forests, ecosystems, carbon and forest landscape values, sustainably over time.
Respond to changing economic and environmental opportunities and risks.
BRING YOUR DATA TO LIFE
Our scalable solutions can support multiple platforms, applications, data sources, and can be visualized using any standard GIS based viewer. Rapidly discover hidden opportunities and realize new value from your environmental assets and supply chains.