This paper presents the combined use of UAV-derived Digital Elevation Models, optical and IR imaging and multispectral satellite images to produce a (micro)topographic survey of the proto-historic village of Bostel, in the municipality of Rotzo (province of Vicenza, Italy). It aims to improve our knowledge of the structural organization of the site. Different vegetation indices were calculated from the multiband images to enhance the grass and soil-marks in open field, allowing the identification of buried structures. Close-range images were acquired with a commercial DJI Phantom 2 and a customized unmanned aerial vehicle (UAV), equipped with both high-resolution digital and IR cameras. Structure from Motion was used on the acquired data to create digital elevation models (DEM) of sample areas, which were enhanced by using different data visualization techniques. Remote sensing analyses were then combined with fieldwork data, producing a complex environmental model. The houses found during the excavations seem to be embedded in a framework of structures for the sake of space organization, defence and control. Moreover, the presence of a dense network of terraces and buildings, running right up to the south-eastern ridge of the promontory, confirms the existence of an intense human occupation of the entire area.

Multisensor-Multiscale Approach in Studying the Proto-Historic Settlement of Bostel in Northern Italy

Luigi Magnini;Cinzia Bettineschi
;
Armando De Guio;Laura Burigana;Giacomo Colombatti;Carlo Bettanini;Alessio Aboudan
2019

Abstract

This paper presents the combined use of UAV-derived Digital Elevation Models, optical and IR imaging and multispectral satellite images to produce a (micro)topographic survey of the proto-historic village of Bostel, in the municipality of Rotzo (province of Vicenza, Italy). It aims to improve our knowledge of the structural organization of the site. Different vegetation indices were calculated from the multiband images to enhance the grass and soil-marks in open field, allowing the identification of buried structures. Close-range images were acquired with a commercial DJI Phantom 2 and a customized unmanned aerial vehicle (UAV), equipped with both high-resolution digital and IR cameras. Structure from Motion was used on the acquired data to create digital elevation models (DEM) of sample areas, which were enhanced by using different data visualization techniques. Remote sensing analyses were then combined with fieldwork data, producing a complex environmental model. The houses found during the excavations seem to be embedded in a framework of structures for the sake of space organization, defence and control. Moreover, the presence of a dense network of terraces and buildings, running right up to the south-eastern ridge of the promontory, confirms the existence of an intense human occupation of the entire area.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3317325
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