LIDAR-based remote sensing for archaeological applications

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Title:Main Title: LIDAR-based remote sensing for archaeological applications
Descriptions:Abstract: The Airborne Laser Scanning (ALS) technology, also referred to as LIDAR (Light Detection And Ranging), represents the most relevant advancement of Earth Observation (EO) techniques applied to archaeological research in the last decade. It allows us to overcome some limits of satellite optical remote sensing in detecting archaeological remains covered by dense vegetation as well as microrelief of cultural interest in bare-ground sites. Currently, a LIDAR survey can be carried out by using two different types of ALS sensor systems: (i) conventional scanners or discrete echo scanners, and (ii) Full-Waveform (FW) scanners. The first one generally delivers only the first and last echo, thus losing many other reflections. The second one is able to detect the entire echo waveform for each emitted laser beam, thus offering improved capabilities especially in areas with complex morphology and/or dense vegetation cover. This paper shows the results obtained by processing point clouds taken from FW scanners for two emblematic study cases in Southern Italy. The first one is the abandoned medieval village of Monte Serico, located on a bare-ground hilly plateau, the second one is the Bosco dell’Incoronata. By using an approach based on the use and processing of different shaded Digital Terrain Models (DTMs), the study allowed us to improve the reconstruction of the urban fabric and the paleoenvironmental setting, respectively.
Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 79-91
Identifier:10.5880/TR32DB.KGA92.11 (DOI)
Related Resource:Is Part Of 0454-1294 (ISBN)
Responsible Party
Creators:Nicola Masini (Author), Rossella Coluzzi (Author), Rosa Lasaponara (Author)
Contributors:Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Publication Year:2011
Topic
Subjects:Keywords: LIDAR, Remote Sensing
File Details
Filename:Masini_et_al_2011_KGA92.pdf
Data Type:Text - Book Section
Sizes:2389 Kilobytes
13 Pages
File Size:2.3 MB
Dates:Created: 18.11.2010
Issued: 05.10.2011
Mime Type:application/pdf
Language:English
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Metadata Details
Metadata Creator:Constanze Curdt
Metadata Created:05.08.2013
Metadata Last Updated:11.05.2021
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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