Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping
Nazarij Buławka(Institute of Archeology), Ekta Gupta(Institute of Archaeology), Héctor A. Orengo(Institució Catalana de Recerca i Estudis Avançats), Felipe Lumbreras Ruiz(Universitat Autònoma de Barcelona), Iban Berganzo‐Besga(Barcelona Supercomputing Center)
Cited by 0
Related Papers
Deep learning-based detection of qanat underground water distribution systems using HEXAGON spy satellite imagery
|Journal of Archaeological Science|2024|15
Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates
|Remote Sensing|2024|11
The Iron Age in Serakhs Oasis (Turkmenistan). The Preliminary Results of the Application of Geographic Information System in the Study of the Settlement Pattern of the Earliest Confirmed Occupation of the Oasis
|HAL (Le Centre pour la Communication Scientifique Directe)|2016|4
Berdysyčran-depe: A bronze age site in the lower Tedjen river valley, Turkmenistan
|Archaeological Research in Asia|2021|3