Remote sensing
Indices and time series from the public constellations to characterize the olive canopy and its change over time, field by field.
Olive Carbon Balance
Remote sensing studies and a decision support system to estimate the carbon balance of olive groves and support their management, in a multi-region operational group.
Multi-region operational group · olive groves
The problem
An olive grove can be a carbon sink or a carbon source depending on how it is managed, but measuring that balance at field and district scale is hard and costly with field methods. Without a reliable estimate, neither the grower nor the administration can make informed decisions about management practices, sustainability, or carbon accounting. And what is not measured with a repeatable method is hard to certify, compare over time, or improve.
The system
The team that today forms T3 AISAT contributed the remote sensing studies and the decision support system of the project:
Carbon balance DSS
A system that turns that satellite reading into an estimate of the carbon balance, to support management decisions.
See it for yourself
What it proves
Olive Carbon Balance leaves a capability in high demand: move from the spectral index to an environmental indicator (carbon) over large areas and in a repeatable way. It is the pattern that works for any variable you want to estimate from space and bring to a management decision. Its multi-region scope also forced the method to work across different territories and conditions: exactly what any deployment at scale demands.
Want a system like this in your operation?
If you need to estimate carbon, biomass, or the state of a canopy over large areas, this is the approach. Tell us your case and we will size it.
Talk to the team