Sensing the Past : From artifact to historical site /
This book provides a complete overview of novel and state of art sensing technologies and geotechnologies relevant to support management and conservation of CH sites, monuments and works of art. The book is organized in an introduction stating the motivations and presenting the overall content of th...
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Corporate Authors: | |
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Group Author: | ; |
Published: |
Springer International Publishing : Imprint: Springer,
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Publisher Address: | Cham : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Series: |
Geotechnologies and the Environment,
16 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-319-50518-3 |
Summary: |
This book provides a complete overview of novel and state of art sensing technologies and geotechnologies relevant to support management and conservation of CH sites, monuments and works of art. The book is organized in an introduction stating the motivations and presenting the overall content of the volume and four parts. The first part focuses on remote sensing and geophysics for the study of human past and cultural heritage at site scale and as element of the surrounding territory. The second part presents an overview of non invasive technologies for investigating monuments and works of a |
Carrier Form: | 1 online resource (XII, 593 pages) : illustrations. |
ISBN: | 9783319505183 |
Index Number: | GA102 |
CLC: | P237 |
Contents: | Introduction: Cultural heritage sustainable management strategies and technologies -- Part I: Remote sensing and geophysics technologies, data analysis for applications in the field of archaeology and cultural heritage -- Optical satellite remote sensing for archaeology -- LiDAR for archaeological research and the study of historical landscapes -- SAR for landscape archaeology -- DinSAR for the monitoring of cultural heritage sites -- A window for the hidden past: revealing architecture remains based on ground spectroscopy data analysis -- Ground penetrating radar: technologies and data proc |