Remote sensing offers opportunities to efficiently acquire data of intertidal flats and characterize intertidal sediments. Each type of imagery with a different spatial resolution offers a distinctive perception. The objective of this research is to investigate the impact of these properties on sediment characterization. A hyperspectral airborne image of 4 m pixel size accompanied by field data is used. The study consists of a geostatistical analysis of spatial correlations for the hyperspectral image and imagery depicting specific sediment properties (moisture content and chlorophyll a content). The results show that there is information lost when the pixel size of the image increases to 24 m pixel size. To characterize relative moisture content, a maximum pixel size of 12 m can be used. While for chlorophyll a content characterization, increasing the pixel size (investigated up to 72 m) does not degrade the information significantly. The research presented in this paper is funded by the Belgian Science Policy Office in the frame of the STEREO II programme (ALGASED project).