Articles | Volume 10, issue 3
Research article
09 Mar 2017
Research article |  | 09 Mar 2017

In-operation field-of-view retrieval (IFR) for satellite and ground-based DOAS-type instruments applying coincident high-resolution imager data

Holger Sihler, Peter Lübcke, Rüdiger Lang, Steffen Beirle, Martin de Graaf, Christoph Hörmann, Johannes Lampel, Marloes Penning de Vries, Julia Remmers, Ed Trollope, Yang Wang, and Thomas Wagner

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Cited articles

Barnes, W., Pagano, T. S., and Salomonson, V.: Prelaunch Characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1, IEEE Trans. Geosci. Remote Sens., 36, 1088–1100,, 1998.
Bluth, G. J. S., Shannon, J. M., Watson, I. M., Prata, A. J., and Realmuto, V. J.: Development of an ultra-violet digital camera for volcanic SO2 imaging, J. Volcanol. Geoth. Res., 161, 47–56,, 2007.
Callies, J., Corpaccioli, E., Eisinger, M., Hahne, A., and Lefebvre, A.: GOME-2 – MetOp's Second-Generation Sensor for Operational Ozone Monitoring, ESA Bulletin, 102, 28–36, 2000.
Campagnolo, M. L. and Montaño, E. L.: Estimation of Effective Resolution for Daily MODIS Gridded Surface Reflectance Products, IEEE Trans. Geosci. Remote Sens., 52, 5622–5632,, 2014.
Cracknell, A.: The Advanced Very High Resolution Radiometer, Taylor and Francis, London, ISBN 9780748402090, 1997.
Short summary
This paper presents the independent and simple IFR method to retrieve the FOV of an instrument, i.e. the two-dimensional sensitivity distribution. IFR relies on correlated measurements featuring a higher spatial resolution and was applied to two satellite instruments, GOME-2 and OMI, and a DOAS instrument integrated in an SO2 camera. Our results confirm the commonly applied FOV distributions. IFR is applicable for verification exercises as well as degradation monitoring in the field.