oa An Analysis of the Near Surface Using Remote Sensing for the Prediction of Logistics and Data Quality Risk

Remote sensing offers the unique ability to view the earth’s surface without actually being in contact with it. Using multi-spectral satellite data and Digital Elevation Models (DEM) a workflow is presented to build a topography and a lithology based classification of the near surface. This enables the creation of logistics and data quality (surface scatter and surface velocity) risk maps. The paper draws on data from the Western Desert of Egypt including surface geological sampling and correlation with seismic data. The results demonstrate that the interpretation of remote sensing data allow the prediction of risks associated with land seismic acquisition.