Understanding Geology through Geomathematical Analysis of Remote Sensing Data
August, 20-28, 2004
Special Symposium Convenors
Ute C. Herzfeld, CIRES/NSIDC (herzfeld@tryfan.Colorado.EDU)
Daniel F. Merriam,
Kansas Geological Survey
The focus of this session is on geomathematical approaches to the analysis of remote-sensing data in geology and geophysics. Contributions on a wide range of geological forms (patterns and distributions; spatial methods) and processes (time-dependent methods) are invited: land and marine geology and geophysics, ice-ocean-atmosphere systems and interactions, hydrologic processes, volcanology, environmental geology. Remote-sensing data of several scales from different types of survey devices, including -- but not limited to -- satellite data often provide a unique source of information, superior or complementary to field observations. Rapidly emerging new remote-sensing technologies necessitate the development of geomathematical methods to extract knowledge from data. The challenge is to formulate the geological problem abstractly, understand the data and learn how to utilize it, and formulate mathematics such that the geological problem can be solved. New developments and novel applications of traditional as well as "modern" geomathematical methods (statistics, spectral analysis, geostatistics, inverse theory, algebra, dynamical systems, optimization, numerical analysis, fractals, neural networks, chaos, catastrophe theory, artificial intelligence) are equally welcome contributions to the symposium.