Test legat de ghid · Mediu Nivel
AI în testul de detectare a siturilor arheologice
Assess archaeological LiDAR, candidate feature detection, Maya surveys, ground verification, and sensitive-site safeguards.
Întrebare 1 de 8
De ce este LiDAR deosebit de valoros pentru detectarea siturilor sub păduri?
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Răspunsurile și explicațiile apar pe măsură ce susțineți testul.
- De ce este LiDAR deosebit de valoros pentru detectarea siturilor sub păduri?
- Pulsurile sale laser trec prin golurile din vegetație pentru a cartografi suprafața solului
- Folosește unde radio care sară de artefacte metalice
- Detectează căldura emanată de incendiile antice
- Înregistrează reflexiile sonore din camerele subterane
- 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
- Ce proiect celebru a folosit LiDAR pentru a dezvălui zeci de mii de structuri Maya ascunse?
- Sondajul Rosetta
- Scanarea Antikythera
- Sondajul PACUNAM LiDAR în Guatemala
- Recensământul cu drone de la Pompei
- Why can natural or modern landscape features cause errors in an archaeological detection model?
- Calculatoarele nu pot stoca coordonatele hărții
- Adevărul de bază este interzis prin lege
- Sateliții nu pot fotografia același loc de două ori
- 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