Satellite remote sensing is playing an increasingly important role in the detection and documentation of archaeological
sites. Surveying an area from the ground using traditional methods often presents challenges due to the time and costs
involved. In contrast, the multispectral synoptic approach afforded by the satellite sensor makes it possible to cover
much larger areas in greater spectral detail and more cost effectively. This is especially the case for larger scale regional
surveys, which are helping to contribute to a better understanding of ancient Egyptian settlement patterns. This study
presents an overview of satellite remote sensing data products, methodologies, and image processing techniques for
detecting lost or undiscovered archaeological sites with reference to Egypt and the Near East. Key regions of the
electromagnetic spectrum useful for site detection are discussed, including the visible near-infrared (VNIR), shortwave
infrared (SWIR), thermal infrared (TIR), and microwave (radar). The potential of using Google Earth as both a data
provider and a visualization tool is also examined. Finally, a case study is presented for detecting tell sites in Egypt using
Landsat ETM+, ASTER, and Google Earth imagery. The results indicated that principal components analysis (PCA) was
successfully able to detect and differentiate tell sites from modern settlements in Egypt's northwestern Nile Delta region.
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