Developing a forest description from remote sensing

Developing a forest description from remote sensing

Friday 20 Dec 2024

Research recently published in the Science of Remote Sensing journal marks a major step forward for the forestry industry, showcasing for the first time how advanced deep learning and remote sensing technologies can be combined to create a detailed forest map at the regional level.

Developed primarily by Scion's Remote Sensing team, in collaboration with Indufor Asia Pacific, the ForestInsights framework uses high-resolution aerial imagery and LiDAR data to deliver a detailed, accurate and updateable description of the forest resource.

This study highlights the potential of ForestInsights by using the framework to map the radiata pine resource in the Gisborne region of New Zealand. Key attributes such as age classes, productivity, slope and distance to port were characterised within the mapped area. Importantly, this detailed description provided insights into potential wood flows, offering valuable information for resource planning and management.

The ForestInsights methods have since been extended to most other regions of the North Island and offer a pathway towards a near real-time forest monitoring system for New Zealand’s planted forests.

Learn more about the ForestInsights project and explore the most recently mapped forest extent here.

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Source & image credit: Scion

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