HySpex
HySpex
As part of the OpAiRS user
service, IMF operates a
combination of two HySpex
sensors from a Norwegian
producer, Norsk Elektro Optikk
(NEO). The two line scan
cameras, models VNIR 1600
and SWIR 320m-e, are
primarily used to collect high-
resolution spatial and spectral
reference data when mounted
on an aircraft. Because of their
similar spectral ranges and
comparable operating
principles, the sensors are
particularly suitable for
simulating and validating data
from Germany’s hyperspectral
satellite EnMAP. Although the
system was designed for use in
an airplane, it is possible to
operate both sensors on the
ground, in the lab as well as in
the field.
The following table summarizes
characteristic features. A
detailed description is in the
Journal of large-scale research
facilities (JLSRF)
Parameter VNIR 1600 SWIR 320m-e
Detector Si CCD-Array MCT Array
Spectral range [nm] 416-992 968-2498
Spectral channels [Anzahl] 160 256
Sampling interval [nm] 3.6 6.0
Spectral resolution [nm] 3.5 - 6.0 5.6 - 7.0
Spatial resolution pixels [number] 1600 320
Max. spatial resolution [cm] 30 70
Dynamic range [bit] 12 14
Contact
Dr. Claas Henning Köhler
German Aerospace Center (DLR)
Remote Sensing Technology Institute, Experimental Methods
Tel: +49 8153 28-1274
E-Mail: Claas.Koehler@dlr.de
URL for this article
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-11411/19998_read-
46623/
Links zu diesem Artikel
https://jlsrf.org/index.php/lsf/article/view/151
http://elib.dlr.de/id/saved_search/364
https://www.enmap.org/
http://www.hyspex.no/
Texte zu diesem Artikel
OpAiRS (https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-
5328/19980_read-46622/usetemplate-print/)
Calibration Home Base (https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-
5378/9173_read-16387/usetemplate-print/)
Department: Experimental Methods
(https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-5294/8937_read-
16241/usetemplate-print/)
Downloads zu diesem Artikel
HySpex Product Guide (https://www.dlr.de/eoc/en/DownloadCount.aspx?
raid=357424&docid=10489&rn=b12f59c0-2383-4a96-a129-e1211c61dd5a)