Free Monitoring Modules

Explore the GFP Free modules to get access to freely available datasets that give you a baseline overview of your forestry areas. Available data includes near-real-time satellite imagery with basic on-the-fly-analytics; administrative and a wide range of geographic datasets and; downloadable SSMT GeoPDF Maps of select species.

These give you an overview of your areas of interest and their surroundings so that you can begin to make informed decisions pertaining to your current and planned forestry projects. For more in-depth and extra analysis specific to other forestry applications please explore the Paid Modules page for analysis such as monthly forest health and harvest monitoring, post-fire analysis, tree counts and so much more.

Site Species Matching Tool Maps

The Species Site Matching Tool (SSMT) helps growers select the most suitable species for their sites, by matching species requirements to the growing conditions of different locations.

Free PDF maps have been produced for Kenya, Tanzania, and Uganda. Other areas are under production. These can be easily accessed for download from the GFP website. SSMT uses the term suitability to describe the likely success of a particular tree species establishing and growing to the rotation age on a given site achieving expected productivity depending on other factors such as silviculture.

Sentinel Viewer

The Sentinel Viewer Module is a Free Module that allows users to access Sentinel 2 satellite imagery of their areas of interest.

The Sentinel Viewer Module on the Open Platform uses images captured by the European Commission Copernicus Sentinel-2 satellites. These twin Sentinel-2 satellites were launched in 2015 and 2017 and provide multi-spectral optical observations at a spatial resolution of up to 10 metres. The satellites acquire images over most land surfaces every five days creating a timedeep data resource that can be utilised to inform numerous services.

Spatial Layers

This free module allows users to study their area of interest through numerous free datasets. Datasets include vector layers (roads, water features, points of interest), boundary data, human geography data, land use and landcover data, elevation data (SRTM) and data on Woodlot health (NDVI).

The Spatial Layers module provides users with access to free datasets that are available over areas of interest. These spatial datasets include both raster and vector datasets.

Site Species Matching Tool Maps

The Species Site Matching Tool (SSMT) helps growers select the most suitable species for their sites, by matching species requirements to the growing conditions of different locations.

Free PDF maps have been produced for Kenya, Tanzania, and Uganda. Other areas are under production. These can be easily accessed for download from the GFP website. SSMT uses the term suitability to describe the likely success of a particular tree species establishing and growing to the rotation age on a given site achieving expected productivity depending on other factors such as silviculture.

Sentinel Viewer

The Sentinel Viewer Module is a Free Module that allows users to access Sentinel 2 satellite imagery of their areas of interest.

The Sentinel Viewer Module on the Open Platform uses images captured by the European Commission Copernicus Sentinel-2 satellites. These twin Sentinel-2 satellites were launched in 2015 and 2017 and provide multi-spectral optical observations at a spatial resolution of up to 10 metres. The satellites acquire images over most land surfaces every five days creating a timedeep data resource that can be utilised to inform numerous services.

Spatial Layers

This free module allows users to study their area of interest through numerous free datasets. Datasets include vector layers (roads, water features, points of interest), boundary data, human geography data, land use and landcover data, elevation data (SRTM) and data on Woodlot health (NDVI).

The Spatial Layers module provides users with access to free datasets that are available over areas of interest. These spatial datasets include both raster and vector datasets.