Remote sensing has long been a useful tool in global applications, since it provides physically-based, worldwide, and consistent spatial information. This paper discusses the potential of using these techniques in the research field of water management, particularly for ‘Water Footprint’ (WF) studies. The WF of a crop is defined as the volume of water consumed for its production, where green an...

Monitoring of land surface albedo dynamics is important for the understanding of observed climate trends. Recently developed multidecadal surface albedo data products, derived from a series of geostationary satellite data, provide the opportunity to study long term surface albedo dynamics at the regional to global scale. Reliable estimates of temporal trends in surface albedo require carefully ...

Solar surface radiation data of high quality is essential for the appropriate monitoring and analysis of the Earth’s radiation budget and the climate system. Further, they are crucial for the efficient planning and operation of solar energy systems. However, well maintained surface measurements are rare in many regions of the world and over the oceans. There, satellite derived information is th...

The study investigates the role of NWP filtering for the remote sensing of Cumulonimbus 1 Clouds (Cbs) by implementation of 14 different experiments, covering Central Europe. These 2 experiments compiles different stability filter settings as well as the use of different channels for 3 the InfraRed (IR) brightness temperatures. As stability filter parameters from Numerical Weather 4 Prediction ...

The present study has used Meteosat infrared brightness temperature images to investigate the regional and interannual variability of Central African cloudiness. Spatial and temporal variability were investigated using half–hourly data from the Meteosat-7 during June–July–August (JJA) of 1998–2002. The full domain of study (1.5◦E–17◦E, 1◦N–15◦N) was divided into six regions and statistics in ea...

The early and accurate segmentation of low clouds during the night-time is an important task for nowcasting. It requires that observations can be acquired at a sufficient time rate as provided by the geostationary METEOSAT satellite over Europe. However, the information supplied by the single infrared METEOSAT channel available by night is not sufficient to discriminate between low clouds and g...

Geostationary sensors bear the potential to derive and analyze daily and seasonal trends of aerosol optical depth (AOD) from spatially homogeneous data. However, to date most AOD retrieval algorithms from geostationary sensors are limited to sea surfaces. In this study, a multi-temporal technique to retrieve AOD over land from the Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) on-board...

Remote Sensing Images are being collected nowadays every 15 minutes from satellites such as Meteosat, covering large areas of land. These repositories of images can be used for a range of different purposes. For the human mind, it may be hard to consider each image individually, analyze it as well as their relationships with the previous images of varying time steps. In order to address that is...

Lake Chad, located in the middle of the African Sahel belt, underwent dramatic decreases in the 1970s and 1980s leaving less than ten percent of its 1960s surface water extent as open water. In this paper, we present an extended record (dry seasons 1988–2016) of the total surface water area of the lake (including both open water and flooded vegetation) derived using Land Surface Temperature (LS...