Automated Change Detection

Tesera offers solutions that automate multivariate change detection using remote-sensing data and time-series satellite imagery. We provide rapid feedback on land disturbances, moisture content changes, vegetation cover and forest health. We utilize both publicly available and commercial satellite imagery sources.

Rapid detection enables stakeholders to respond more quickly and implement mitigation efforts earlier to limit disturbance.

Accurate, automated, scalable and cost-effective
forest inventory and change detection solutions

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Detect changes in the forest landscape, more accurately and rapidly

  • Automated systems can continuously monitor forests and detect changes as they occur, providing near real-time information about forest disturbances such as illegal logging, wildfires, or insect infestations;

  • Our solutions can provide early warning of forest health issues;

  • Reduces the risk of human error in detecting forest changes and ensures a higher level of precision in identifying subtle changes over time;

  • Automating the monitoring process can be more cost-effective in the long run compared to manual monitoring by reducing the need for expensive field surveys and human resources;

  • Our solutions can be customized to monitor specific aspects of forest health, depending on the objectives of the monitoring program.

Rapid Detection, Sustainable Solutions

Automated multivariate change detection for rapid forest monitoring can significantly enhance our understanding of forest dynamics and health. It can also provide timely and accurate data, enabling better decision-making for forest management and conservation initiatives. 

Tesera Systems would like to acknowledge that the design and development of our Automated Multivariate Change Detection solution was supported by the Forest Innovation Program (FIP) of the Canadian Forest Service (CFS) of Natural Resources Canada (NRCan), through the Canadian Wood Fibre Centre (CWFC) Fibre Solutions Program.