Applied computer science for GGOS observatories : communication, coordination and automation of future geodetic infrastructures

Author(s)

    • Neidhardt, Alexander N. J.

Bibliographic Information

Applied computer science for GGOS observatories : communication, coordination and automation of future geodetic infrastructures

Alexander Neidhardt [i.e. Alexander N. J. Neidhardt]

(Springer textbooks in earth sciences, geography and environment)

Springer, 2017

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Note

Page E1 is "erratum to: Applied computer science for GGOS observatories", bound between p. 512 and 513

References: p. 524-529

Includes index

Description and Table of Contents

Description

This book combines elementary theory from computer science with real-world challenges in global geodetic observation, based on examples from the Geodetic Observatory Wettzell, Germany. It starts with a step-by-step introduction to developing stable and safe scientific software to run successful software projects. The use of software toolboxes is another essential aspect that leads to the application of generative programming. An example is a generative network middleware that simplifies communication. One of the book's main focuses is on explaining a potential strategy involving autonomous production cells for space geodetic techniques. The complete software design of a satellite laser ranging system is taken as an example. Such automated systems are then combined for global interaction using secure communication tunnels for remote access. The network of radio telescopes is used as a reference. Combined observatories form coordinated multi-agent systems and offer solutions for operational aspects of the Global Geodetic Observing System (GGOS) with regard to "Industry 4.0".

Table of Contents

Introduction.- Writing code for Scientific Software.- Using a code toolbox.- Controlling a Laser Ranging System.- Controlling a VLBI system from remote.- Coordination, communication and automation for the GGOS.- A Style Guide for Geodetic Software in C and C++.- Precise telescope mount model parameters based on the least squares method.

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