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Long term (1983-1994) calibration of the Meteosat solar (VIS) channel using desert and ocean targets
- Source :
- International Journal of Remote Sensing, International Journal of Remote Sensing, Taylor & Francis, 1996, 17 (6), pp.1183-1200. ⟨10.1080/01431169608949076⟩
- Publication Year :
- 1996
- Publisher :
- HAL CCSD, 1996.
-
Abstract
- The successive operational Meteosat solar (VIS) sensors have shown significant variations of their spectral band which affected their relative sensitivities to the light scattering by aerosols, molecules and Earth surface. This paper provides a calibration of the various Meteosat VIS sensors used between June 1983, the beginning of data archiving for the International Satellite Cloud Climatology Project (ISCCP), and December 1994, taking into account the characteristics of their individual spectral band thanks to an atmospheric radiative transfer model. The method is based on a monitoring of the reflectance of desert and ocean targets free of clouds and aerosols, and relies on the absolute vicarious calibration of Meteosat-2 performed in late 1981. We find different sensitivities and temporal evolutions for Meteosat-2, -3, -4, and -5, and our results compare well with other more limited calibration studies
- Subjects :
- [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
010504 meteorology & atmospheric sciences
Meteorology
0211 other engineering and technologies
Desert (particle physics)
02 engineering and technology
Spectral bands
01 natural sciences
Light scattering
Term (time)
Atmospheric radiative transfer codes
13. Climate action
International Satellite Cloud Climatology Project
Calibration
General Earth and Planetary Sciences
Environmental science
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
ComputingMilieux_MISCELLANEOUS
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Communication channel
Subjects
Details
- Language :
- English
- ISSN :
- 01431161 and 13665901
- Database :
- OpenAIRE
- Journal :
- International Journal of Remote Sensing, International Journal of Remote Sensing, Taylor & Francis, 1996, 17 (6), pp.1183-1200. ⟨10.1080/01431169608949076⟩
- Accession number :
- edsair.doi.dedup.....40263b4f7f70bd52d08fcf51c87114e1