Abstract
The option to introduce spaceborne data that enables to recognize
spatial patterns, to enhance ground-collected data, to acquire
high-resolution spatial and spectral data, and to incorporate this data
into a Geographic Information Systems (GIS), has been recently
recognized and used by the geological research community. The current
paper presents the development of a semi-automated model for geological
mapping and 3D geodata investigation based on a set of image processing
and GIS techniques. The aim of the developed methodology is to extract
lithological and structural information by combining geological object
recognition of hyperspectral spaceborne data and GIS data mining and
analysis. Input data consist of a Digital Terrain Model (DTM) and a
hyperspectral satellite image. These data serve as the basis for a
supervised classification of the geological units and for extracting
geostructural data in order to construct a 3D database of the area's
geology. The output is stratigraphic information (such as dip and
strike) that can be used for mapping and constructing 2.5D/3D models of
the subsurface or, in conjunction with additional thematic layers, for
geological spatial analysis.
| Original language | English |
|---|---|
| Title of host publication | 4th International Conference "In Vista of New Approaches for the Geoinformatics"; Klaudia Oleschko, Sergei Cherkasov, José Luís Palacio Prieto, Vianey Torres Argüelles, Claudia I. Gaona Salado, Ana Gabriela Castañeda Miranda and Sergio Aurelio Zamora Castro; AIP Conference Proceedings 1009; Conference Location and Date: Queretaro, Mexico, 22-26 October 2007 |
| Pages | 189-199 |
| Volume | 1009 |
| DOIs | |
| State | Published - 1 May 2008 |