This paper presents the results of the preprocessing steps performed on HyMap data which were recorded during the MINEO [1] flight campaign in summer 2000. The general objective of the project was the development of advanced analysis techniques to use earth observation data for monitoring tasks. Therefore it was necessary to perform several pre-processing steps which allow quantitative analyses of obtained reflectance data. These steps include quality control, geo-referencing and atmospheric correction of the imagery. The first step discusses the quality assessment of the data. For this purpose the calculation of the SNR with a semiautomatic detection of the brightest and most homogeneous area was done. The results allowed to separate channels with high noise from the initial dataset. The next step describes the geocorrection of the individual flight strips using the software package PARGE [2]. The aim was to generate a complete mosaic of the test area. A high definition DEM derived by photogrammetry and additional GPS control point measurements served as additional input data to optimize the correction accuracy. Further GPS measured ground control points were used as independent control points to estimate the transformation accuracy. The main step during pre-processing was the atmospheric correction using ATCOR 4 [2]. For this purpose ground reflectance measurements were employed. Additional weather data from a radiosonde was used to update the radiometric calibration of the HyMap data. The accuracy of the atmospheric correction was checked using ground reflectance measurements.