The Processing Chain and Cal/Val Operations of the Future Hyperspectral Satellite Mission EnMAP R. Müller, M. Bachmann, C. Makasy, A. de Miguel, A. Müller, A. Neumann, G. Palubinskas, R. Richter, M. Schneider, T. Storch, T. Walzel 1 , H. Kaufmann, L. Guanter, K. Segl 2 , T.Heege, V.Kiselev 3 1 German Aerospace Center (DLR) Applied Remote Sensing Cluster (CAF) 82234 Weßling, Germany 2 Deutsches GeoForschungsZentrum – GFZ Telegrafenberg 14473 Potsdam, Germany 3 EOMAP GmbH & Co. KG Friedrichshafener Str. 1 D-82205 Gilching 1) { rupert.mueller, martin.bachmann, christine.makasy, gintautas.palubinskas, rudolf.richter, amaia.miguelde, andreas.mueller, andreas.neumann, mathias.schneider, thomas.walzel, tobias.storch,}@dlr.de 2) {charly, luisgan, segl}@gfz-potsdam.de 3) info@eomap.de Abstract—. 12 The German Aerospace Center DLR – namely the Applied Remote Sensing Cluster CAF and the German Space Operations Center GSOC – is responsible for the establishment of the ground segment of the future German hyperspectral satellite mission EnMAP (Environmental Mapping and Analysis Program). The Applied Remote Sensing Cluster has long lasting experiences with air- and spaceborne acquisition, processing, and analysis of hyperspectral image data. This paper mainly addresses the concept of the operational and automatic processing chain and the calibration / data quality to generate high quality data products. TABLE OF CONTENTS INTRODUCTION ....................................................................1 ENMAP MISSION .................................................................1 ENMAP PRODUCT DEFINITIONS .........................................2 PROCESSING CHAIN..............................................................3 INFLIGHT CALIBRATION ......................................................6 INSTRUMENT MONITORING .................................................7 VALIDATION AND QUALITY CONTROL................................7 CONCLUSION ........................................................................7 REFERENCES ........................................................................8 BIOGRAPHY ..........................................................................9 INTRODUCTION The future German satellite mission EnMAP (Environmental Mapping and Analysis Program) addresses hyperspectral remote sensing with the major objectives to measure, derive and analyze diagnostic parameters for the vital processes on earth’s land and water surfaces [4][6][12][17]. Standardized products will be generated and 1 978-1-4244-3888-4/10/$25.00 ©2010 IEEE 2 IEEEAC paper#1178, Version 1, Updated 2009:10:29 delivered to the international user community of science and industry coordinated by GeoForschungsZentrum Potsdam GFZ as the mission principal investigator [4]. The major components of the EnMAP project are the project management by the Space Agency of the German Aerospace Centre (DLR), the space segment headed by Kayser Threde GmbH, Munich, Germany, which is responsible for the hyperspectral instrument [16] and the satellite bus (established by OHB-Systems Bremen, Germany), the science advisory group headed by GFZ and finally the ground segment realized by DLR. The EnMAP project is currently in the detailed design phase closing mid of 2010 with the CDR (Critical Design Review). After the implementation, verification and validation phase (technical and operational) the launch is planned in 2013 followed by the LEOP (Launch and Early Orbit Phase) and the commissioning and five years routine phase. First the paper gives a short overview of the EnMAP mission and its major components followed by a description of the data products, data processing chain, instrument calibration and data quality analysis. ENMAP MISSION Mission Objectives The major objectives of the EnMAP mission are to measure and analyze quantitative parameters describing environmental key processes of land and water surfaces. Derived geochemical, biochemical and biophysical parameters serve as input for physically based ecosystem models and ultimately provide information reflecting the status and evolution of various terrestrial ecosystems. Applications comprise agriculture, coastal zones, land degradation, geology and forest themes. 1