Guide-linked quiz · Medium Level

AI in Archaeological Site Detection Quiz

Assess archaeological LiDAR, candidate feature detection, Maya surveys, ground verification, and sensitive-site safeguards.

Question 1 of 8

Why is LiDAR especially valuable for detecting sites under forests?

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  1. Why is LiDAR especially valuable for detecting sites under forests?
    • Its laser pulses pass through gaps in vegetation to map the ground surface
    • It uses radio waves that bounce off metal artifacts
    • It detects the heat given off by ancient fires
    • It records sound reflections from underground chambers
  2. In a proposed archaeological image-classification workflow, what should a model label represent?
    • A permit to excavate without consultation
    • A candidate feature category to investigate, rather than a verified age or cultural attribution
    • A confirmed date independent of other evidence
    • Proof that every unusual shape is human-made
  3. Which famous project used LiDAR to reveal tens of thousands of hidden Maya structures?
    • The Rosetta survey
    • The Antikythera scan
    • The PACUNAM LiDAR survey in Guatemala
    • The Pompeii drone census
  4. Why can natural or modern landscape features cause errors in an archaeological detection model?
    • Computers cannot store map coordinates
    • Ground truthing is forbidden by law
    • Satellites cannot photograph the same place twice
    • They can resemble the shapes used to identify archaeological candidates
  5. What did the PACUNAM survey add beyond finding isolated buildings?
    • A landscape-scale view of settlements, agricultural modifications and connecting infrastructure
    • A direct written census of every ancient resident
    • A radiocarbon date for every structure
    • A complete translation of all Maya inscriptions
  6. How could repeated imagery be used in a proposed heritage-monitoring workflow?
    • Automatically authorize excavation
    • Flag possible changes for investigation, without establishing their cause from a model score alone
    • Identify every artifact owner without records
    • Prove that every change was caused by looting
  7. In a hypothetical archaeological classifier evaluation, what does precision measure?
    • The fraction of all map pixels stored on disk
    • The age of the oldest detected structure
    • The fraction of flagged candidates that the reference review labels as the target feature
    • The number of laser pulses emitted per second
  8. Why should precise coordinates for newly detected sites be handled carefully?
    • All archaeological coordinates must be public
    • AI detections do not reveal locations
    • Site coordinates have no protection concerns
    • Public location data can expose vulnerable heritage sites to looting or disturbance

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