Earth reflectance and polarization intercomparison between SCIAMACHY onboard Envisat and POLDER onboard ADEOS‐2

Tilstra, L. G.; Stammes, P.

doi:10.1029/2006jd007713

Cited by 16 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is good agreement between the SCIAMACHY and OMI surface LER databases. The radiometric calibration of the SCIAMACHY instrument has been studied and improved much in the past, using satellite intercomparisons [ Acarreta and Stammes , ; Noël et al , ; von Hoyningen‐Huene et al , ; Kokhanovsky et al , ; Tilstra and Stammes , , ; Jourdan et al , ] and comparisons with radiative transfer calculations [ van Soest et al , ; Tilstra et al , ]. The radiometric calibration of GOME‐2 on the other hand has received much less attention.…”

Section: Discussion and Error Analysismentioning

confidence: 99%

Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY

et al. 2017

Self Cite

View full text Add to dashboard Cite

The primary goal of this paper is to introduce two new surface reflectivity climatologies. The two databases contain the Lambertian‐equivalent reflectivity (LER) of the Earth's surface, and they are meant to support satellite retrieval of trace gases and of cloud and aerosol information. The surface LER databases are derived from the Global Ozone Monitoring Experiment (GOME)‐2 and Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) instruments and can be considered as improved and extended descendants of earlier surface LER climatologies based on the Total Ozone Mapping Spectrometer (TOMS), GOME‐1, and Ozone Monitoring Instrument (OMI) instruments. The GOME‐2 surface LER database consists of 21 wavelength bands that span the wavelength range from 335 to 772 nm. The SCIAMACHY surface LER database covers the wavelength range between 335 and 1670 nm in 29 wavelength bands. The two databases are made for each month of the year, and their spatial resolution is 1° × 1°. In this paper we present the methods that are used to derive the surface LER; we analyze the spatial and temporal behavior of the surface LER fields and study the amount of residual cloud contamination in the databases. For several surface types we analyze the spectral surface albedo and the seasonal variation. When compared to the existing surface LER databases, both databases are found to perform well. As an example of possible application of the databases we study the performance of the Fast Retrieval Scheme for Clouds from the Oxygen A‐band (FRESCO) cloud information retrieval when it is equipped with the new surface albedo databases. We find considerable improvements. The databases introduced here can not only improve retrievals from GOME‐2 and SCIAMACHY but also support those from other instruments, such as TROPOspheric Monitoring Instrument (TROPOMI), to be launched in 2017.

show abstract

Section: Discussion and Error Analysismentioning

confidence: 99%

Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sci. 2019, 9,1424 3 of 14 linear polarization (AoLP) describes the oscillation direction of the linear polarized light [13]. As we know, the polarization information (DoLP, AoLP) of the light can be measured by using a rotating linear analyzer [14].…”

Section: The Multichannel Polarimetric Cameramentioning

confidence: 99%

“…This method has many technological advantages, such as a high maturity and stability, wide spectral range, and large field of view.At present, the commonly used on-orbit calibration methods include the scene calibration, the on-board polarized light source method and the spaceborne linear polarization method. The Polarization and Directionality of the Earth's Reflectance (POLDER) and the Directional Polarized Camera (DPC) has adopted the scene calibration [9,10]. When the polarimetric camera observes the atmosphere in a specific angle, the light reflected by the atmosphere is close to the unpolarized light.…”

mentioning

confidence: 99%

On-Orbit Polarization Calibration for Multichannel Polarimetric Camera

et al. 2019

View full text Add to dashboard Cite

In this paper, a new on-orbit polarization calibration method for the multichannel polarimetric camera is presented. A polarization calibration model for the polarimetric camera is proposed by taking analysis of the polarization radiation transmission process. In order to get the polarization parameters in the calibration model, an on-orbit measurement scheme is reported, which uses a solar diffuser and a built-in rotatable linear analyzer. The advantages of this scheme are sharing the same calibration assembly with the radiometric calibration and acquiring sufficient polarization accuracy. The influence of the diffuser for the measurement is analyzed. By using a verification experiment, the proposed method can achieve on-orbit polarization calibration. The experimental results show that the relative deviation for the measured degree of linear polarization is 0.8% at 670 nm, which provides a foundation for the accurate application of polarimetric imaging detection.

show abstract

“…The radiometric calibration of SCIAMACHY has received much attention in the past. Many efforts were made to study and improve the radiometric calibration using satellite intercomparisons [ Acarreta and Stammes , 2005; Noël et al , 2007a; von Hoyningen‐Huene et al , 2007; Kokhanovsky et al , 2007; Tilstra and Stammes , 2006, 2007; Jourdan et al , 2007] and comparisons with radiative transfer calculations [ van Soest et al , 2005; Tilstra et al , 2005]. These studies were all based on data from up to a few years after launch, for which instrument degradation is not such an issue, or they were focused on wavelengths outside the UV wavelength range, where the impact of instrument degradation is small.…”

Section: Introductionmentioning

confidence: 99%

In‐flight degradation correction of SCIAMACHY UV reflectances and Absorbing Aerosol Index

et al. 2012

Self Cite

View full text Add to dashboard Cite

[1] In this paper we study the close relationship between the radiometric calibration of a satellite instrument and the Absorbing Aerosol Index (AAI) derived from the observed Earth reflectance. Instrument degradation of the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) instrument in the ultraviolet wavelength range is examined by analyzing time series of global means of the AAI, making use of the experience that the global mean should be more or less constant when instrument degradation is absent. The analysis reveals the magnitude of the (scan angle dependent) instrument degradation of SCIAMACHY and also shows that currently available correction techniques are not able to correct the instrument degradation in a sufficient manner. We therefore develop and introduce a new method for degradation correction, which is based on the analysis of the time evolution of the global mean reflectance. Seasonal variations in the global mean reflectance, which mainly result from seasonal variations in scattering geometry and global cloud coverage, are separated from the time series in order to isolate the instrument degradation. Finally, we apply the derived reflectance correction factors to the SCIAMACHY reflectances and calculate the AAI to find that the effects of instrument degradation are reduced to within the 0.1 index point level. The derived AAI is also compared with the AAI based on other correction techniques. The proposed in-flight reflectance degradation correction method performs best in all aspects.

show abstract

Earth reflectance and polarization intercomparison between SCIAMACHY onboard Envisat and POLDER onboard ADEOS‐2

Cited by 16 publications

References 28 publications

Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY

Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY

On-Orbit Polarization Calibration for Multichannel Polarimetric Camera

In‐flight degradation correction of SCIAMACHY UV reflectances and Absorbing Aerosol Index

Contact Info

Product

Resources

About