Replant the same species
- Expected result
- Moderate survival if the cause stays unchanged
- Risk
- High: repeats the failure if browsing is the cause
- Time
- Next planting season
- Cost
- Medium
DigiTechForest · decision intelligence for forests and land
Decide what to do in the forest, and check that it worked.
DigiTechForest connects data with practical forestry knowledge, so you can compare interventions before you act and track their results afterwards.
For forest owners and managers, state forest organisations, municipalities and managers of large land or infrastructure areas.
Illustrative workflowParcel 12 · failed regeneration
- A · Replant same speciesrisk high
- B · Protect + replantchosen
- C · Change species mixslower
A situation from practice
Planting is failing on part of a restoration site. Where do you replant, where do you change protection, and where do you choose a different approach?
Every option costs money and time. Waiting also has a cost: another season of failed regeneration and higher work later.
A · Replant
Replant the failed areas with the same species and the same approach.
B · Change protection
Fence the area or use individual guards where browsing is the cause, then replant.
C · Different approach
Change the species mix or rely on natural regeneration where conditions allow.
DigiTechForest helps you see which option fits which part of the site, and why.
How the system works
Seven steps from observation to learning
Each step has an input, an output and a person who uses it. The result is a recommendation and a check of what happened, not just another map.
- SEESee stressed or failed areas
- Input
- Satellite and UAV imagery, field checks
- Output
- Map of problem areas
- Used by
- Forest manager
- UNDERSTANDFind out why it is happening
- Input
- Soil, water, browsing, site history
- Output
- Likely cause for each area
- Used by
- Forester and ZERO expert
- SIMULATECompare interventions
- Input
- Models and field experience
- Output
- 2–3 scenarios: outcome, risk, time, cost
- Used by
- ZERO team with the manager
- DECIDEChoose what, where and when
- Input
- The compared scenarios
- Output
- Chosen intervention and work plan
- Used by
- Owner or manager
- ACTCarry out the work
- Input
- Work plan
- Output
- Intervention done and recorded
- Used by
- Field crew
- MEASUREMeasure what happened
- Input
- Follow-up survey and imagery
- Output
- Result compared with the expectation
- Used by
- Forest manager
- LEARNImprove the next decision
- Input
- Results across sites and seasons
- Output
- Better models and recommendations
- Used by
- ZERO and the manager
↻ Each result feeds the next decision.
What information it uses
Several data layers on one site
A satellite image shows where trees are stressed. Field measurements and site history explain why. Operational data shows what is feasible and what it costs. Only together do they change the decision.
Technical details support the decision. They are not the product.
- SatelliteLarge-area change and stress over time
- UAV (drone)Detail of individual parcels and failed areas
- Field measurementsSurvival, height, damage, browsing
- Site historyPrevious planting, interventions and events
- GISParcels, terrain, soils, access
- LaboratorySoil and plant material analysis where needed
- Operational dataCrews, seasons, costs
- → DecisionCompared options for this site, with expected result and cost
Scenario comparison
Same site. Three interventions. One informed decision.
This is what you get from DigiTechForest: options you can compare side by side, with the expected result, risk, time and cost.
Protect, then replant
- Expected result
- High survival where browsing is the main cause
- Risk
- Low to medium
- Time
- Next planting season
- Cost
- Higher upfront, lower repeat work
Change the species mix
- Expected result
- Better long-term resilience on drier parts
- Risk
- Medium: slower establishment
- Time
- 2–3 seasons
- Cost
- Lower planting, more monitoring
Illustrative example. Real scenarios are calculated for your site from its data.
Where it is used
Three use cases
Forest restoration
Problem: failed or uneven regeneration after disturbance.
Output: a targeted replanting and protection plan by parcel.
Protection and resilience
Problem: drought, pests and damage put stands at risk.
Output: a risk map with priority actions.
Follow-up care plan
Problem: what to do in the years after planting, and when.
Output: a care schedule with planned checks.
DigiTechForest also serves as the data and monitoring (MRV) layer for carbon project development.
People and real work
Built by people who plant and manage forests
DigiTechForest grew out of our own field work. The same team that grows seedlings and plants trees works with researchers and developers on the system, so each recommendation can be carried out on the ground and checked afterwards.
30+years of forestry practice behind the system
Discuss a DigiTechForest pilot
A pilot starts with one real decision on one site.
Scoping
We agree the decision, the site and what success looks like.
Data
We combine your data with ours and fill the gaps.
First decision
You receive compared options and a recommendation.
Result check
We measure what happened and what to change.
DigiTechForest doesn’t just tell you where the problem is. It helps you decide what makes sense to do, and check the result.
