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Satellite monitoring

The monitoring aims to collect information from the forest complex over a long period and evaluate it using advanced artificial intelligence and machine learning technologies. The forest owner invests in monitoring to find out the evolution of his stand and subsequently save on forest management costs. Through long-term monitoring, he can see where trees are doing better and worse and can react by harvesting healthy or weakened individuals, preventing timber degradation and loss of profit. By assessing each tree, it can detect pest infestation, drought, deteriorating conditions, or, conversely, improving conditions.

Possibilities of use

  • bark beetle detection

  • number of trees

  • tree height

  • the health status of the department

  • health status of the individual

  • change in number in the department

  • change in number after thinning

  • change detection

  • changes in the forest department

  • change in health status

  • water quantity

  • detection of clearings

  • storm damage detection

  • cubature estimation

  • estimation of captured CO2

  • forest development prediction model

Tree health assessment

This service aims to determine, through long-term monitoring, how the overall health of individual trees in selected forest compartments is evolving. Once an individual tree is detected, a curve showing the amount of chlorophyll in the needles can be associated with it. Once this information is obtained, individuals who show changes within the compartment compared to others are identified. Important information is generated by continuous imaging, where average values for trees in each compartment are compared from year to year.

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Number of trees in the department

This service aims to compare the year-to-year status of the number of trees in each department and to display the original status, the current status, and the change in numbers to the customer in the application. This information is used by the customer to control the department or to evaluate educational interventions. 

Detection of clearings and deforested areas

This service aims to make a year-on-year comparison of satellite images and to identify all deforested areas that have been created using a change detection model. The result of the service is a SHP file that the customer can transfer to his/her record-keeping system.

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