Multi-sensor imaging option consisting of infrared (TIR), near infrared hyper-spectral (NIR HS) and red-green-blue (RGB) sensors was demonstrated to confirm the ability of the sensors to detect the floating debris and differentiate plastic from organic material in a realistic river environment. A drone and a fixed installation were utilised. The target objects were typical plastic products used in the households and the organic material consisted of pieces of wood and branches. The results suggest that multi-imaging with NIR HS, TIR and RGB sensors is a promising method for separating floating plastic waste from organic material. Further efforts will be targeted in possibility to distinguish different plastic types from each other and how this process could by applied by utilising machine learning methods.