OpAiRS

OpAiRS Team
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The Optical Airborne Remote Sensing & Calibration Homebase (OpAiRS) user service operates airborne sensors for optical remote sensing and has had ISO 9001 certification since 2007. The service is also available to external science and industrial parties in conjunction with joint projects. In cooperation with DLR’s Research Flight Facilities IMF offers expertise throughout the entire systems chain from acquisition of raw data to generation of value-added products, for example, orthoimages of reflectivity:

  • Planning, organizing and conducting measurement campaigns in cooperation with DLR’s Research Flight Facilities
  • Automated data processing with the CATENA processing environment developed by IMF
  • Data calibration and correction of sensor-specific artefacts (keystone, smile, scattered light distortions) based on laboratory characterization in the IMF Calibration Homebase (CHB)
  • Atmospheric correction and orthorectification with the Ortho and ATCOR tools developed at EOC
  • Long term archiving of the data in the German Satellite Data Archive (D-SDA) of EOC

Interested users have in the HySpex Product Guide a complete and up-to-date overview of the data products offered.

In addition to airborne sensors, OpAiRS also maintains various field instruments for such purposes as validating flight measurements and facilitating data analysis.

IMF expertise in aerial optical remote sensing is based on more than 20 years of experience in developing, characterising and using imaging spectrometers like DAIS 7915, ROSIS and HyMap. Since 2011 the OpAiRS user service has convincingly carried forward this tradition with the HySpex System of Norsk Elektro Optikk (NEO). After a two-year test phase with elaborate characterisation measurements in the CHB and at the Physikalisch-Technischen Bundesanstalt (PTB), the national metrology institute, the system has been in routine operation since 2014. The combination of HySpex and a high-resolution aerial camera system (3K camera) makes it additionally possible to develop innovative scientific methodologies of data fusion to meet earth observation requirements.

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