This paper introduces the FMet software package for the scientific processing of Meteosat SEVIRI data. A number of individual modules handle the processing steps from image format conversion to calibration and product generation and presentation. The package is designed for operational applications. It can be freely extended and configured using a dynamic graphical user interface. r 2008 Elsevi...

A new method is proposed to estimate the spatial and temporal variability of the solar radiative flux reaching the surface over land (DSSF), as well as the Aerosol Radiative Forcing (ARF), in cloud-free atmosphere. The objective of regional applications of the method is attainable by using the visible broadband of METEOSAT-7 satellite instrument which scans Europe and Africa on a half-hourly ba...

We present a new database of solar radiation at ground level for Eastern Europe and Africa, the Middle East and Asia, estimated using satellite images from the Meteosat East geostationary satellites. The method presented calculates global horizontal (G) and direct normal irradiance (DNI) at hourly intervals, using the full Meteosat archive from 1998 to present. Validation of the estimated globa...

The study concerns the quantitative evaluation of a satellite-based rain rate (RR) estimation algorithm using measurements from network ground-based meteorological stations across Epirus Region, Greece, an area that receives among maximum precipitation amounts over country. utilized version uses Meteosat-11 Brightness Temperature in five spectral regions ranging 6.0 to 12.0 μm (channels 5–7, 9 ...

The frequency and the resolution of the images acquired by remote sensing techniques are nowadays so high that end-users can get huge volumes of observation data for a same geographic area. In this paper, we propose to use data mining tools for detecting evolutions. More precisely, we explain how to make use of sequential patterns to automatically extract evolutions that are contained in a sate...