Decision making in natural resources management relies on assessment and monitoring of biophysical, social, and economic conditions and processes. One of the most challenging tasks is to convert data into useful information or evidence to support the decision making process. This session will present theoretical issues related to spatial and temporal extent and resolution of data and practical problems of data capture that includes new remote sensing techniques from satellite, airborne manned to unmanned aircraft. The session will also discuss challenges of data fusion to obtain information from different disciplines at comparable temporal and spatial resolutions and extents. With a focus on biophysical information (i.e. biodiversity, primary productivity, water, carbon, nutrient fluxes), this session will tackle the issue of spatio-temporal information demand in interdisciplinary research and will present innovative solutions that contribute to evidence-based decision making.