PROCESS - Processing workflows for thermal and fluorescence sensors

Context and objectives

With the increased interest of the scientific and public community in high resolution remote sensing products and the advent of newly developed high-end airborne sensors, the need for a reliable processing chain which is able to produce a variety of qualitative data products is pertinent. In the framework of the MEDUSA (high altitude UAV sensor) and APEX sensor development and yearly hyperspectral campaigns, VITO has developed a processing chain for airborne data, further referenced as CDPC  (Central Data Processing Centre). Currently the CDPC is able to process data from video, hyperspectral pushbroom and whiskbroom and frame cameras.

The PROCESS project is aimed to extend the current processing chain with two new sensors and provide a processing service for a large variety of airborne datasets to the international user community. These sensors are (i) a thermal sensor, owned and operated by the Gabriel Lippman Institute and (ii) the HYPLANT sensor, a hyperspectral sensor for retrieval of sun-induced fluorescence sensor, owned and operated by the Research Centre Jülich Institute.

Project outcome

  • Archiving of image data and the corresponding metadata of the Hyplant DUAL and FLUO sensor in the Central Data Processing Center;
  • Automatic geometric and atmospheric processing of this data. Accuracy of the geometric processing might be enhanced through refining the boresight calibration and geometric sensor properties. Accuracy of the atmospheric processing might be enhanced through the provision of actual spectral response curves and using fraunhofer lines in the spectral shift detection process, next to the atmospheric absorption features.
  • Processing of the hyperspectral thermal images from the hypercam (TELOPS) sensor. The georeferencing can be improved using an higher accuracy digital elevation model and also better definition of the interior and exterior orientation parameters. Secondly the images were atmospherically corrected using MODTRAN simulations to account for atmospheric contribution of the signal. The following parameters were analysed: MODTRAN should be further fine-tuned with by more accurate target radiance values.