This project is a phase 2 follow on project from Rezatec’s phase 1 project.
In Phase 1, Rezatec worked with the government organisation Forest Research (FR), to explore the feasibility of differentiating tree species of interest and their typical annual phenological pattern. The effort focussed on mapping the distribution of different broadleaved species within selected study sites, afflicted with newly-introduced forest pests. Rezatec utilised various Earth Observation (EO) sensors (e.g. Sentinel 1 C-band SAR, Sentinel 2 multi-spectral sensor, Landsat 8 Operational Land Imager) to map the distribution and abundance of these species. These EO data sets were complemented with ground-based data collection and accessory data sets (e.g. LiDAR, National Forest Inventory) and the data was integrated into data mining approaches including statistical clustering methods and classification post-processing algorithms.
In their Phase 2 project, Rezatec will create a productised, market-ready, demonstrator to identify and classify an expanded set of tree species of interest and their typical annual phenological pattern with specific focus on: