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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Answers and explanations appear as you take the quiz.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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