Articles | Volume 9, issue 5
Atmos. Meas. Tech., 9, 2393–2408, 2016
https://doi.org/10.5194/amt-9-2393-2016
Atmos. Meas. Tech., 9, 2393–2408, 2016
https://doi.org/10.5194/amt-9-2393-2016
Research article
 | Highlight paper
01 Jun 2016
Research article  | Highlight paper | 01 Jun 2016

High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES)

Glynn C. Hulley et al.

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Cited articles

Aires, F., Chedin, A., Scott, N. A., and Rossow, W. B.: A regularized neural net approach for retrieval of atmospheric and surface temperatures with the IASI instrument, J. Appl. Meteorol., 41, 144–159, 2002.
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Berk, A., Anderson, G. P., Acharya, P. K., Bernstein, L. S., Muratov, L., Lee, J., Fox, M., Adler-Golden, S. M., Chetwynd, J. H., Hoke, M. L., Lockwood, R. B., Gardner, J. A., Cooley, T. W., Borel, C. C., and Lewis, P. E.: MODTRAN 5, A Reformulated Atmospheric Band Model with Auxiliary Species and Practical Multiple Scattering Options: Update, in Proc SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, Bellingham, WA, USA, 662–667, 2005.
Borbas, E., Knuteson, R., Seemann, S. W., Weisz, E., Moy, L., and Huang, H.: A high spectral resolution global land surface infrared emissivity database, Joint 2007 EUMETSAT Meteorological Satellite & 15th AMS Satellite Meteorology and Oceanography Conference, 24–28 September 2007, Amsterdam, the Netherlands, available at: http://www.ssec.wisc.edu/meetings/jointsatmet2007/pdf/borbas_emissivity_database.pdf (last access: 20 May 2016), 2007.
Broadwater, J. B., Spisz, T. S., and Carr, A. K.: Detection of gas plumes in cluttered environments using long-wave infrared hyperspectral sensors, Proc. of SPIE 6954, 69540R-169540R-169512, 2008.
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Short summary
Using data from a new airborne Hyperspectral Thermal Emission Spectrometer (HyTES) instrument, we present a technique for the detection and wide-area mapping of emission plumes of methane and other atmospheric trace gas species over challenging and diverse environmental conditions with high spatial resolution, that permits direct attribution to sources in complex environments.