apl.Prof. Dr.-Ing. habil. Michael Schmidt
Scientist at Deutsches Geodaetisches Forschungsinstitut (DGFI)
FIELD OF WORK
Regional gravity field modelling using alternative approaches like series expansions in spherical (radial) base functions; modelling of the electron density distribution of the ionosphere by means of radial base functions.
Current research interests are in computing high-resolution regional parts of multi-dimensional fields from satellite and surface data.
Michael Schmidt received his diploma degree in geodesy in 1986 from the University of Bonn (Germany) and his doctor of engineering degree in the field of general relativity in 1990, also from the University of Bonn; he received in 2000 his university lecturing qualification (habilitation) in the field of astronomical and physical geodesy with a thesis about wavelet theory from the Technical University of Munich (Germany).
He worked at that University of Bonn from 1987 to 1993 at the Institute of Theoretical Geodesy on adjustment theory, statistics, relativity and signal processing.
From 1993 to 1994 he acted as a subsitute of a professorship for surveying and mathematics at Fachhochschule Anhalt in Dessau (Germany).
Since 1994 he is working at Deutsches Geodaetisches Forschungsinstitut (DGFI) in Munich (Germany) as a scientific assistant in the fields of altimetry, Earth rotation, gravity field and ionospheric modelling.
In 2002 and 2003 he was a visiting scolar at the Laboratory of Space Geodesy and Remote Sensing Research at the Ohio State University in Columbus/U.S.A. and worked on regional gravity field representation and determination.
In December 2000 and March 2005 he was working at the Instituto Geografico Augustin Codazzi in Bogota/Colombia on gravity field modelling and at the University of La Plata in La Plata/Argentina on ionospheric modelling, respectively.
Dr. Schmidt is the author of many scientific publications and textbooks on deterministic and stochastic signals as well as wavelet theory and their applications in geodesy.
- Numerical Modeling
- Numerische Methoden in der Satellitengeodäsie