Parry, J. Wang, Y. Sorokina, H. Valbuena, Ruben. Linser, Stefanie. Mazziotta, Adriano. et al. (2025). D5.3 Dataset of selected IFM indicators derived from remote sensing technologies. Horizon 2020 Project No. 101036849, European Commission, 45 pp.

This dataset included the data used in presenting several methods for assessing and monitoring indicators of integrative forest management (IFM) using remote sensing. This has been done using a combination of field and desk-based feasibility studies focused on the TRANSFORMIT Living Lab model. Remote sensing technologies have been ranked according to their technology readiness level (TRL) to help facilitate evidence-based monitoring of key IFM indicator variables. The indicators explored here include, but are not limited to, those decided through an intensive stakeholder engagement process (D5.2). A systematic review (MS16) was used to confirm the most viable technologies to be taken forward to feasibility studies. These were: Multispectral and hyperspectral satellite imagery (M/HSI), Airborne laser scanning (ALS), Airborne multispectral and hyperspectral imagery (AM/HSI), and Terrestrial laser scanning (TLS).