Geophysical and remote sensing-based approach to model regolith thickness in a data-sparse environment

Catena

Volumn 87, Issue 1, 2011, Pages 11-19

  Shafique, Muhammad ^a,b   Der Meijde, Mark van ^a   Rossiter, David G ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UNIVERSITY OF PESHAWAR   (Pakistan)

Author keywords

Alluvium; Electrical resistivity; Landforms; Multiple linear regression; Northern pakistan; Regolith thickness

Indexed keywords

ALLUVIAL DEPOSIT; ASTER; BEDROCK; DATA SET; DEPOSITIONAL ENVIRONMENT; DIGITAL ELEVATION MODEL; ELECTRICAL RESISTIVITY; ENVIRONMENTAL MODELING; GEOPHYSICAL METHOD; GEOPHYSICAL SURVEY; HAZARD ASSESSMENT; LINEARITY; MULTIVARIATE ANALYSIS; OUTCROP; REGOLITH; REGRESSION ANALYSIS; REMOTE SENSING; RIVER BED; SATELLITE IMAGERY; SEISMIC HAZARD; SPOT; TERRAIN;

PAKISTAN;

EID: 79960025399     PISSN: 03418162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.catena.2011.04.004     Document Type: Article

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