Danilo Gallo
University of Bari
10 Papers
160 Citations
Danilo Gallo is an academic researcher from University of Bari. The author has contributed to research in topics: Magnetic survey & Remote sensing (archaeology). The author has an hindex of 5, co-authored 10 publications.
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Papers
Remote sensing techniques for reconstructing a vast Neolithic settlement in Southern Italy
TL;DR: The results of a highly integrated non-intrusive investigation are presented in this paper, where the main purpose of the combined study was to locate and identify the buried features with a specific interest for the prehistoric time.
59
A multiscale approach for reconstructing archaeological landscapes: Applications in Northern Apulia (Italy)
TL;DR: In this article, the authors focused on the joint use of multiscale remote sensing technologies for supporting archaeological prospection, including satellite imagery, aerial photographs and high-resolution magnetic surveys.
54
Integrated technologies for archaeological investigation; the Celone Valley project
TL;DR: In this article, a non-intrusive investigation integrating complementary technologies was carried out at four vast archaeological settlements located in the northern part of Apulia (Italy), where aerial photographic survey combined with a high-resolution magnetic investigation was used to detect many buried archaeological features.
29
Online non destructive archaeology; the archaeological park of Egnazia (Southern Italy) study case
Maria Cristina Caggiani,Marcello Ciminale,Danilo Gallo,Mariangela Noviello,Filomena Salvemini +4 more
TL;DR: In this article, a high resolution magnetic survey was executed inside the archaeological park of Egnazia (Southern Italy) for the subsurface mapping of buried features (invisible archaeology).
13
High-resolution magnetic survey in a quasi-urban environment
Marcello Ciminale,Danilo Gallo +1 more
TL;DR: A high-resolution magnetic survey was performed on a large cultivated field located inside a heavily built-up town in Southern Italy as mentioned in this paper, which made it possible to detect and recognize buried archaeological remains from the Neolithic age.
10