«With this new system in place, we continue to improve data quality to provide products obtaining the highest possible standard for hyperspectral images. We are looking forward to continuing the excellent cooperation with the NEO HySpex team», says Andreas Baumgartner from DLR (Deutsches Zentrum für Luft- und Raumfahrt).
In 2011 DLR purchased the HySpex cameras VNIR-1600 and SWIR-320m-e after a thorough examination of all the hyperspectral camera suppliers: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-7218/12014_read-33083/
Although their existing equipment is still in use, NEO has now delivered a set of new cameras; the brand new HySpex VNIR-3000N and the HySpex SWIR-384.
DLR has been using HySpex cameras in numerous different applications from platforms in air, field, and in the lab:
First test flight in 2012 after the certification of the installation was completed: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-7707/13134_read-33788/
DLR with Andreas Baumgartner is chairing the characterization group of the IEEE P4001 project about making a standard for characterization hyperspectral cameras.
DLR has also published an article on their newly acquired equipment:
“DLR’s Earth Observation Center (EOC) recently upgraded its airborne sensor suite. In January DLR acquired two HySpex sensors (VNIR-3000N and SWIR-384) manufactured by the Norwegian company NEO. The two imaging spectrometers are going to be operated from 2020 onwards by the EOC user service Optical Airborne Remote Sensing (OpAiRS). OpAiRS conducts Earth observation missions for DLR research scientists and their cooperation partners. The sensor upgrade continues more than 25 years of tradition in airborne remote sensing. It strengthens DLR’s leading position within this field of research” Link to full article: https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-14195/24618_read-59900/
Over the last 8 years, the scientists at DLR have been working continuously with HySpex equipment, and have published a significant number of articles based on HySpex data: http://elib.dlr.de/id/saved_search/364
