The long-term focus of this project is the realization of “AgroGIS” which need to provide better and more complete information for crop management in a visual way, such that better advice, using “Task Map 2.0”, can be given, thereby increasing efficiency and improving quality in the agricultural sector. Different methods for data preprocessing, analysis and visualization are investigated. Data from different sources and containing different types of information is collected. Some preliminary data analyses are performed. First the correlation coefficient between all pairs of available images is calculated. Images which have a high indication of the existence of a linear relationship are used in linear regression analyses. Visual analyses of the existence of a relationship between images are carried out using histogram analysis. Using simulated data the usefulness of crosscorrelation techniques is investigated, these results are promising. Some of the analyses are already implemented in a web application. Future work should focus on the collection of more data and extension of the data driven analysis in combination with existing models of biophysical properties.