Due to the expected consequences of climate change, dikes are increasingly becoming structures of major importance. It has been proposed that remote sensing is a possible tool for increasing the efficiency, objectivity and coverage of dike inspection. Two key features that dike inspectors evaluate are the quality of dike coverings and soil moisture content. Given that many dikes have grass coverings, multispectral remote sensing could be well suited to evaluate the quality and condition of these coverings. Multispectral remote sensing is used widely in vegetation studies because different types and qualities of vegetation may be distinguished. Little or no research has been done in this area for use in dike inspection. Various trials using thermal remote sensing for dike moisture and seepage have given mixed results. Further research is required on time of observation and environmental influences affecting thermal measurements. A number of remote sensing and validation datasets were acquired for part of a problematic dike in Reeuwijk-Dorp, the Netherlands, including multi-temporal datasets. Results show correlations of multispectral and thermal remote sensing data with the validation data. In addition, spatial patterns observed in the remote sensing data are visible in the validation data. The multi-temporal datasets reveal the influence of local weather conditions and indicate optimal measurement times for thermal imaging.