Title :
Desert based absolute calibration of visible sensors
Author :
Bhatt, Rajendra ; Doelling, David R. ; Scarino, Benjamin R. ; Morstad, Daniel L.
Author_Institution :
Sci. Syst. & Applic., Inc., Hampton, VA, USA
Abstract :
Post-launch calibration and characterization of Geostationary Earth Observing (GEO) satellite sensors, which lack on-board visible calibration, is a keenly felt need in many applications for studying long-term global climate changes. This paper proposes a vicarious technique of calibrating GEO visible sensors for the Clouds and the Earth´s Radiant Energy System (CERES) project, using a kernel-based bidirectional reflectance distribution function (BRDF) model derived over an invariant desert site. The technique is illustrated with two Meteosat-9 visible channels, 0.65um and 0.86um, whose radiometric gains have been computed using a BRDF model of Libya-4 desert site. The Libya-4 BRDF model is TOA based and is derived from ten years of clear-sky Aqua observations over this site. The calibration results are validated by a direct comparison with the corresponding gains derived from the GEO-to-MODIS ray-matching technique.
Keywords :
atmospheric measuring apparatus; atmospheric radiation; atmospheric techniques; calibration; climatology; radiometry; remote sensing; sensors; CERES project; Clouds and the Earth´s Radiant Energy System; GEO satellite sensor; GEO-to-MODIS ray-matching technique; Geostationary Earth Observing satellite; Libya-4 desert site; Meteosat-9 visible channel; TOA based Libya-4 BRDF model; clear-sky Aqua observation; desert based absolute calibration; invariant desert site; kernel-based bidirectional reflectance distribution function model; long-term global climate change; on-board visible calibration; post-launch calibration; post-launch characterization; radiometric gain; visible sensors; wavelength 0.65 mum; wavelength 0.86 mum; Atmospheric modeling; Calibration; MODIS; Predictive models; Satellites; Sensor phenomena and characterization; BRDF; CERES; Invariant sites; Libya-4; Meteosat;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351956