TY - JOUR
T1 - Topographically and hydrologically signatures express subsurface geological structures in an arid region
T2 - a modified integrated approach using remote sensing and GIS
AU - Elmahdy, Samy Ismail
AU - Ali, Tarig A.
AU - Mohamed, Mohamed Mostafa
AU - Yahia, Mohamed
N1 - Funding Information:
The authors would like to thank the American University of Sharjah, UAE for supporting this research. The research has received funding under financial grant SCRI 18 Grant EN0- 248.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - This study aims to investigate the ability of remote sensing sensors to map subsurface fault zones with the support of hydrological information collected from boreholes. We first extract linear features crosscut and drain the study area and its adjoining mountainous areas from the Phased Array type L-band Synthetic Aperture Radar (PALSAR), the Landsat 8 images and a set of slope and shaded relief maps derived from the PALSAR DEM using visual interpretation and D8 algorithm. To delineate displacements of subsurface faults were then, interpreted from interpolated maps of groundwater level and aquifer thickness. The subsurface faults are well evident in the form palaeochannels, abruption change in flow direction and the change in the groundwater table and aquifer thickness. The extracted surface linear features were compared against those that exist in the geological map. The result showed that the subsurface geological structures can be indicated from remote sensing and hydrological data.
AB - This study aims to investigate the ability of remote sensing sensors to map subsurface fault zones with the support of hydrological information collected from boreholes. We first extract linear features crosscut and drain the study area and its adjoining mountainous areas from the Phased Array type L-band Synthetic Aperture Radar (PALSAR), the Landsat 8 images and a set of slope and shaded relief maps derived from the PALSAR DEM using visual interpretation and D8 algorithm. To delineate displacements of subsurface faults were then, interpreted from interpolated maps of groundwater level and aquifer thickness. The subsurface faults are well evident in the form palaeochannels, abruption change in flow direction and the change in the groundwater table and aquifer thickness. The extracted surface linear features were compared against those that exist in the geological map. The result showed that the subsurface geological structures can be indicated from remote sensing and hydrological data.
KW - Al Jaaw
KW - Remote sensing
KW - UAE
KW - hydrological
KW - subsurface structures
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U2 - 10.1080/10106049.2020.1801858
DO - 10.1080/10106049.2020.1801858
M3 - Article
AN - SCOPUS:85089443321
SN - 1010-6049
VL - 37
SP - 2095
EP - 2115
JO - Geocarto International
JF - Geocarto International
IS - 7
ER -