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Tag: remote sensing

“Our results contribute to a better understanding of many forest disturbance processes”

How can we increase the resilience of our forest to be better prepared for future natural disturbances and climate change, while maintaining a high level of wood production, carbon storage, and habitat quality for biodiversity? The project Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO) aims at improving the scientific basis for developing adequate forest management strategies. In an interview series, we are introducing the different I-MAESTRO partners and their roles in the project – and we are sharing very personal perspectives from different researchers involved. The series continues with Luiza Tymińska-Czabańska and Ewa Grabska from University of Krakow.

What is University of Krakow (UAK) contributing to I-Maestro?

Luiza&Ewa: Our team at UAK includes researchers with various expertise and skills such as forestry, remote sensing, data science, statistics, and geography. With scientists covering such a complex background, we are able to develop approaches to analyze issues such as modeling of different forest properties, monitoring of disturbances, classification of tree species and their age, site index prediction, or biomass estimation and its changes over time. Furthermore, we collected a comprehensive database on forest characteristics and data about forest disturbances for the whole area of Poland, and additionally, environmental variables – climatic, topographic, geological, and soils. Access to such an exhaustive database enables modeling the impact of various factors on forest processes in temperate zones.

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