Surface emissivity (ε) and Temperature (Ts) are two key parameters to monitor climate and meteorological changes. Because of its high spatial resolution, repeat time and very long period of activity, SEVIRI (Spinning Enhanced Visible and Infrared Imager) on board of MSG (Meteosat Second Generation) geostationary platform, allows us to perform accurate retrieval of these parameters. To take advantage of the data information content, a Kalman filter methodology was developed and implemented for the the simultaneous retrieval of surface emissivity and temperature from SEVIRI infrared radiance measurements (channels at 8.7, 10.8 and 12 μm). That developed is one of the very few physical based approaches for the estimation of surface parameters ...
In this study, we presented two algorithms for estimating land surface temperature (LST) from the Sp...
International audienceTimely processing of observations from multi-spectral imagers, such as SEVIRI ...
Land surface temperature (LST) and land surface emissivity (LSE) are two key parameters in global cl...
Surface emissivity (ε) and Temperature (Ts) are two key parameters to monitor climate and meteorolog...
A Kalman filter-based approach for the physical retrieval of surface temperature and emissivity from...
The high temporal resolution of data acquisition by geostationary satellites and their capability to...
A Kalman filter based approach for the physical retrieval of surface temperature and emissivity from...
In this paper, a suitable form of the Kalman filter is applied for the simultaneous retrieval of emi...
The estimation of surface parameters yields important information in several applications on regiona...
The high temporal resolution of the data acquisition by geostationary satellites and their capabilit...
The high temporal resolution of data acquisition by geostationary satellites and their capability to...
Infrared instrumentation on geostationary satellites is now rapidly approaching the spectral quality...
Geostationary satellites are capable to resolve the diurnal cycle by providing time sequence of obse...
This paper describes the theoretical aspects of a fast scheme for the physical retrieval of surface ...
In this study, we presented two algorithms for estimating land surface temperature (LST) from the Sp...
International audienceTimely processing of observations from multi-spectral imagers, such as SEVIRI ...
Land surface temperature (LST) and land surface emissivity (LSE) are two key parameters in global cl...
Surface emissivity (ε) and Temperature (Ts) are two key parameters to monitor climate and meteorolog...
A Kalman filter-based approach for the physical retrieval of surface temperature and emissivity from...
The high temporal resolution of data acquisition by geostationary satellites and their capability to...
A Kalman filter based approach for the physical retrieval of surface temperature and emissivity from...
In this paper, a suitable form of the Kalman filter is applied for the simultaneous retrieval of emi...
The estimation of surface parameters yields important information in several applications on regiona...
The high temporal resolution of the data acquisition by geostationary satellites and their capabilit...
The high temporal resolution of data acquisition by geostationary satellites and their capability to...
Infrared instrumentation on geostationary satellites is now rapidly approaching the spectral quality...
Geostationary satellites are capable to resolve the diurnal cycle by providing time sequence of obse...
This paper describes the theoretical aspects of a fast scheme for the physical retrieval of surface ...
In this study, we presented two algorithms for estimating land surface temperature (LST) from the Sp...
International audienceTimely processing of observations from multi-spectral imagers, such as SEVIRI ...
Land surface temperature (LST) and land surface emissivity (LSE) are two key parameters in global cl...