TY - JOUR
T1 - Automated detection of lineaments express geological linear features of a tropical region using topographic fabric grain algorithm and the SRTM DEM
AU - Elmahdy, Samy Ismail
AU - Mohamed, Mohamed Mostafa
AU - Ali, Tarig A.
N1 - Funding Information:
The authors would also like to thank the Earth Remote Sensing Data Analysis Centre (ERSDAC), Japan, the NASA Land Processes Distributed Active Archive Center and the User Services, USGS Earth Resources Observation and Science (EROS), and the Consortium for Spatial Information (CSI) of the Consultative Group for International Agricultural Research (CGIAR) for providing and distributing remotely sensed data.
Publisher Copyright:
© 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - The availability of the large volume of remote sensing data has allowed for the developing of several automated algorithms for detecting linear geological features and more reliable analysis. However, most of the algorithms focus on edge detection and tone change on a satellite image, which represents all geological and non-geological features. In this study, a topographic fabric algorithm, which calculates the slope and aspect at each point in a DEM, is applied for automatically geological linear features mapping in Bau Goldfield, Malaysia using the new version of the Shuttle Radar Topographic Mission (SRTM) DEM. A series of topographic fabric input parameters was tested using different combinations of input values in order to decide the optimal parameters that provided the suitable detection parameters, best fit and the highest accuracy. Comparison with the geological map demonstrated that the tested parameters made the algorithm able to automatically detect geological structures.
AB - The availability of the large volume of remote sensing data has allowed for the developing of several automated algorithms for detecting linear geological features and more reliable analysis. However, most of the algorithms focus on edge detection and tone change on a satellite image, which represents all geological and non-geological features. In this study, a topographic fabric algorithm, which calculates the slope and aspect at each point in a DEM, is applied for automatically geological linear features mapping in Bau Goldfield, Malaysia using the new version of the Shuttle Radar Topographic Mission (SRTM) DEM. A series of topographic fabric input parameters was tested using different combinations of input values in order to decide the optimal parameters that provided the suitable detection parameters, best fit and the highest accuracy. Comparison with the geological map demonstrated that the tested parameters made the algorithm able to automatically detect geological structures.
KW - Bau Goldfield
KW - Geological structures
KW - Malaysia
KW - SRTM
KW - remote sensing
KW - topographic fabric
UR - http://www.scopus.com/inward/record.url?scp=85066913876&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066913876&partnerID=8YFLogxK
U2 - 10.1080/10106049.2019.1594393
DO - 10.1080/10106049.2019.1594393
M3 - Article
AN - SCOPUS:85066913876
SN - 1010-6049
VL - 36
SP - 76
EP - 95
JO - Geocarto International
JF - Geocarto International
IS - 1
ER -