Edinburgh-based geospatial analytics company, Global Surface Intelligence (GSI), has secured a six-figure deal to provide data analysis services in Ontario, Canada.
The Scottish Earth observation and artificial intelligence firm uses satellite, radar and ground survey data to provide ‘next-generation’ AI-powered insights on forestry and agriculture assets for businesses.
The Forestry Futures Trust (FFT) agreement will see GSI provide ‘robust’ data analysis of the Romeo-Malette Forest for its project partners – including the Ontario Ministry of Natural Resources and Forestry and Rayonier Advanced Materials.
Analysing more than 630,000 hectares of the Romeo-Malette Forest, GSI will aim to provide key data for a series of projects through its machine learning algorithms. This agreement will help support forest management decision-making for on-the-ground practitioners.
GSI’s technology can be used to support customers across a range of industries and sectors, particularly landowners seeking detailed insights on where and when to harvest crops, as well as data on crop health. The firm also offers services in mapping illegal land use and forest damage caused by natural disasters.
Gavin Tweedie, CEO of GSI, commented: “Canada has an abundance of naturally regenerated forests, making it difficult to establish good statistics due to its vast area and mix of tree age and species in these forests.
“Using earth observation data, we can help quantify these elements and detect changes over time to draw out valuable insights into the health and productivity of the forest. Data is necessary to support effective business and policy decisions.”
Projects underway in Ontario are part of the FFT’s Knowledge Transfer & Tool Development (KTTD) programme, which contributes toward the advancement of the region’s Enhanced Forest Resource Inventory (eFRI).
The programme was launched by the Ontario Government to fund studies which support the development of decision-support tools linking the eFRI project to forest management and operational planning.