About the project
Fig. 1. Reference framework for forest maturity. Ranging from low (RFM, rotation forest management), intermediate (CCF, continuous cover forestry) and high (OGF, old-growth) degrees of maturity.
While conventional forest inventories are costly and time-consuming, using remote sensing technologies like terrestrial laser scanning (TLS) and satellite data (e.g. aerospace radar technology, Fig. 2) can can greatly expand the scale and frequency of monitoring. To achieve this, I will need to develop models to map key forest indicators such as deadwood, large trees, and structural complexity. This work will enable more efficient, large-scale monitoring and supports decision-making for conservation and forest management. This is where my research comes in, focused on improving methods for monitoring forest maturity, specifically in Norway spruce forests in the Czech Republic.