“…Recent developments of remote sensing (RS) technologies have brought spatially explicit estimates of various forest inventory, structure and habitat related parameters available for vast areas (Tomppo et al, 2008a(Tomppo et al, ,b, 2014Maltamo et al, 2014;Barrett et al, 2016). For instance, generalizing field plot measurements using coarse-or medium-resolution RS and other numeric map data, referred to as Multi-Source National Forest Inventory (MS-NFI; Tomppo et al, 2008a) has been used to generate pixel-wise (Tuominen et al, 2010) or aggregated (Mäkelä et al, 2011) maps of biomass-related attributes, carbon storage (Akujärvi et al, 2016;Mononen et al, 2017), biological diversity (Lehtomäki et al, 2009(Lehtomäki et al, , 2015Räsänen et al, 2015), habitats (Vatka et al, 2014;Björklund et al, 2015) or berry yields (Kilpeläinen et al, 2016). Applying RS data to analyze multiple forest ESs, Frank et al (2015) evaluated the biomass provisioning potential and tradeoffs for other ESs, when the land use of a region located in Germany was expected to change according to climate-adapted management scenarios.…”