The orbit determination of a satellite in a geostationary orbit is usually based on optical observations. Telescopes all around the Earth are observing the geostationary ring to obtain periodically new measurements in order to update the estimation of the objects’ orbits. One critical aspect of the orbit determination process is the initial orbit determination because no a priori information ar...

This paper proposes a space weather forecasting system at geostationary orbit for high-energy electron flux (>2 MeV). The forecasting model involves multiple sensors on multiple satellites. The sensors interconnect and evaluate each other to predict future conditions at geostationary orbit. The proposed forecasting model is constructed using a dynamic relational network for sensor diagnosis and ...

Jorge Nieto and Joaquín Cosmen received their MS from the Escuela Técnica Superior de Ingenieros Aeronáuticos (Universidad Politéctnica de Madrid, Spain). Ignacio García holds MS in mathematics from the Universidad Complutense de Madrid, Spain. They joined GMV and currently work in the GNSS Unit. In particular, Mr. Cosmen is the manager of this unit. GMV has a vast experience in the satellite n...

This paper presents a project given to the students of a real-time system course. The project consists of developing a software for tracking in real-time non geostationary satellites. Students have to analyze , design, program, and test their solution. The project is not solely a simulation. There is a satellite tracking lab where students can really experiment and validate their solution. This...

Incident photosynthetically active radiation (PAR) is required by almost all terrestrial ecosystem models and many other applications. The current PAR products that are developed for climate studies have much coarser spatial resolution and higher temporal resolution and are not suitable for land applications. This article reviews stateof-the-art methods for mapping land spatial-resolution incid...

A number of satellite communication systems have been proposed using geosynchronous (GEO) satellites, medium earth orbit (MEO) and low earth orbit (LEO) constellations operating in the Ka-band and above. The next generation broadband satellite systems will use fast packet switching with onboard processing to provide full two-way services to and from earth stations. New services gaining momentum...

The problem of cloud data classification from satellite imagery using neural networks is considered in this paper. Several image transformations such as singular value decomposition (SVD) and wavelet packet (WP) were used to extract the salient spectral and textural features attributed to satellite cloud data in both visible and infrared (IR) channels. In addition, the well-known gray-level coo...

− We investigate the use of fixed-point methods for predicting the performance of multiple TCP flows sharing geostationary satellite links. The problem formulation is general in that it can address both error-free and error-prone links, proxy mechanisms such as split-TCP connections and account for asymmetry and different satellite network configurations. We apply the method in the specific con...

Support of elastic TCP traffic over broadband GEO satellite networks v control algorithm for TCP flows over split-TCP satellite networks that can preserve the target requirements in terms of TCP steady-state throughput and TCP latency. We describe generic fixed-point approximations for the performance of TCP flows in geostationary satellite networks. We provide examples for the method applicabi...

Satellite data are the main source of information in Numerical Weather Prediction (Szyndel (2003)), with 99% of the available data for global numerical weather prediction (NWP) being satellite based. It should also be noted that satellites are one of the few observing systems that can provide data at sufficiently high temporal and spatial frequency for regional and mesoscale models. The derivat...