Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data

This paper presents an innovative multisensor, multitemporal machine-learning approach using remote sensing big data for the detection of archaeological mounds in Cholistan (Pakistan). The Cholistan Desert presents one of the largest concentrations of Indus Civilization sites (from ca. 3300 to 1500...

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Publicat a:Proc Natl Acad Sci U S A
Autors principals: Orengo, Hector A., Conesa, Francesc C., Garcia-Molsosa, Arnau, Lobo, Agustín, Green, Adam S., Madella, Marco, Petrie, Cameron A.
Format: Artigo
Idioma:Inglês
Publicat: National Academy of Sciences 2020
Matèries:
Physical Sciences
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7414161/
https://ncbi.nlm.nih.gov/pubmed/32690717
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2005583117
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