TY - JOUR
T1 - A semi-automated GIS model for extracting geological structural information from a spaceborne thematic image
AU - Dadon, A.
AU - Peeters, A.
AU - Ben-Dor, E.
AU - Karnieli, A.
N1 - Funding Information:
This work was supported in part by an Eshkol Scholarship and by an Ilan Ramon Scholarship from the Ministry of Science and Technology, The State of Israel. In addi-
PY - 2011/4/1
Y1 - 2011/4/1
N2 - This paper presents a semi-automated GIS model for extracting structural information from a spaceborne imaging spectroscopy classification of sedimentary rocks by combining the IS classification with a digital terrain model. The output consists of a database with structural attributes, specifically the dip and strike, of the geological layers. The model was evaluated statistically for its accuracy with promising results, which demonstrate its potential to support field surveys, for geological mapping, for 3D modeling of the subsurface, and for geological spatial analysis.
AB - This paper presents a semi-automated GIS model for extracting structural information from a spaceborne imaging spectroscopy classification of sedimentary rocks by combining the IS classification with a digital terrain model. The output consists of a database with structural attributes, specifically the dip and strike, of the geological layers. The model was evaluated statistically for its accuracy with promising results, which demonstrate its potential to support field surveys, for geological mapping, for 3D modeling of the subsurface, and for geological spatial analysis.
UR - http://www.scopus.com/inward/record.url?scp=79958144463&partnerID=8YFLogxK
U2 - 10.2747/1548-1603.48.2.264
DO - 10.2747/1548-1603.48.2.264
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AN - SCOPUS:79958144463
SN - 1548-1603
VL - 48
SP - 264
EP - 279
JO - GIScience and Remote Sensing
JF - GIScience and Remote Sensing
IS - 2
ER -