AI in the fields: Challenges and insights in detecting agrarian footprints from Satellite and LiDAR data

Kucukdemirci M.

ARCHEOSCIENCES-REVUE D ARCHEOMETRIE, cilt.49, sa.1, 2025 (SCI-Expanded, AHCI) identifier

  • Yayın Türü: Makale / Editöre Mektup
  • Cilt numarası: 49 Sayı: 1
  • Basım Tarihi: 2025
  • Dergi Adı: ARCHEOSCIENCES-REVUE D ARCHEOMETRIE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Arts and Humanities Citation Index (AHCI), Anthropological Literature, Index Islamicus
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Highlights: Deep learning plays a key role to detects patterns in large datasets, Real-world AI validation needs accurate ground-truthing, Data quality and access pose technical challenges, Ethical concerns arise in remote sensing and heritage data use