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Overview

  • How are reviewers describing this item?
    new, past, found, through and ancient.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 35 reviews as of our last analysis date on Nov 7 2019.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    The author tells of the hardships and disappointments of trying to identify ancient sights by a traditional dig


    Posted by a reviewer on Amazon

    The new method of interpreting satellite photos gives visual hints of long lost cities and cultures


    Posted by a reviewer on Amazon

    I was curious as my husband used to do what was called photo interpretation using specialized equipment to locate possible ancient sites that had not been looked at previously


    Posted by a reviewer on Amazon

    Archaeology from space written by sarah parcak and published by henry holt offers a fascinating look at the use of remote sensing in archaeology


    Posted by a reviewer on Amazon

    Parcak a professor of anthropology at the university of alabama at birmingham starts her book with a description of her first visit to egypt in 1999 as a 20 yearold undergraduate to take part in a dig


    Posted by a reviewer on Amazon

    Higher image quality lets analysts process combine and interpret remote sensing data to locate features that could indicate buried sites


    Posted by a reviewer on Amazon

    Image analysts can also call upon tools such as pansharpening where analysts merge lowerresolution blackandwhite images with higherresolution panchromatic data to create better quality multispectral data p


    Posted by a reviewer on Amazon

    This site showed volunteers satellite images and asked them to flag any pictures the participant felt might contain a feature worth investigating

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