Site Species Matching Tool
Species Site Matching Tool (SSMT) is a Geographical Information System (GIS) based tool that overlays the growing conditions across a given area (based on temperature, rainfall, evapotranspiration, soil types, soil depth and topographic data) with the growing requirements of different species and matches them to different climatic areas.


Site Species Matching Tool
Species Site Matching Tool (SSMT) is a Geographical Information System (GIS) based tool that overlays the growing conditions across a given area (based on temperature, rainfall, evapotranspiration, soil types, soil depth and topographic data) with the growing requirements of different species and matches them to different climatic areas.

Climate Scenario Suitability
This Module gives the user access to analysis of the suitability of growing a specific species in specific areas based on various climatic and topographic scenarios. The analysis from this module depends on the Site Species Matching tool (SSMT) output and forecasts the scenarios for select species in 2050.

Climate Scenario Suitability
This Module gives the user access to analysis of the suitability of growing a specific species in specific areas based on various climatic and topographic scenarios. The analysis from this module depends on the Site Species Matching tool (SSMT) output and forecasts the scenarios for select species in 2050.
Deforestation and Monitoring
In forestry, it is important to continuously monitor the health of forests, commercial or plantation, as well as changes of extent due to activities such as deforestation. This module provides ongoing insight into your forests monthly. Planet (3m) imagery or Sentinel 2 (10m) imagery is used for this analysis.


Deforestation and Monitoring
In forestry, it is important to continuously monitor the health of forests, commercial or plantation, as well as changes of extent due to activities such as deforestation. This module provides ongoing insight into your forests monthly. Planet (3m) imagery or Sentinel 2 (10m) imagery is used for this analysis.

Forest Mapping and Query
In forestry, it is important to keep track of resources by mapping them in a Geographic Information System (GIS). When the location of woodlots is known the dynamic use of other spatial data for planning and operational purposes becomes possible. This is thus the fundamental module upon which all other modules on your dashboard are based.

Forest Mapping and Query
In forestry, it is important to keep track of resources by mapping them in a Geographic Information System (GIS). When the location of woodlots is known the dynamic use of other spatial data for planning and operational purposes becomes possible. This is thus the fundamental module upon which all other modules on your dashboard are based.

Infield Stress
In forestry, monitoring processes and the health of your woodlots is important. As an industry standard average health status of full compartments is given. However, due to different variations such related to stress, trees in different parts of the compartment may be performing differently.

Infield Stress
In forestry, monitoring processes and the health of your woodlots is important. As an industry standard average health status of full compartments is given. However, due to different variations such related to stress, trees in different parts of the compartment may be performing differently.

Carbon Sequestration
This Module gives the user access to analysis of the suitability of growing a specific species in specific areas based on various climatic and topographic scenarios. The analysis from this module depends on the Site Species Matching tool (SSMT) output and forecasts the scenarios for select species in 2050.

Carbon Sequestration
This Module gives the user access to analysis of the suitability of growing a specific species in specific areas based on various climatic and topographic scenarios. The analysis from this module depends on the Site Species Matching tool (SSMT) output and forecasts the scenarios for select species in 2050.