The production of high-resolution topographic datasets is of increasing interest and application throughout the geomorphic and ecologic sciences. Due to its high spectral and spatial resolution, airborne hyperspectral remote sensing is considered as a promising technique for assessing some of the required parameters for the spatial modelling approach. The simultaneous acquisition of accurate LiDAR data allows retrieving detailed terrain and vegetation information. The main aim of this EUFAR project is (1) to derive spatial information on vegetation, soil and terrain for ecogeomorphological connectivity model input by combined hyperspectral and LiDAR data, (2) to carry out a spectral fingerprinting approach allowing to trace back sources and pathways of sediments and (3) to calibrate and compare the results of modelling with the values obtained from the spatial distribution of isotopic environmental tracers in soils and vegetation as well as the images obtained from Unmanned Aerial Vehicle (UAV) and aircraft. Thus, airborne data acquisition will be accompanied by an extensive field campaign at ground and also air (Unmanned Aerial Vehicle-UAV) levels in which GIS modelling, sediment-tracer techniques and continuous monitoring of water, sediment and associated contaminant fluxes are being used to build a sediment budget of three catchments representative of Mediterranean environments but with contrasting characteristics.