IRT-REMOTE SENSING ANALYSIS TO LOCATE ARCHAEOLOGICAL SITES IN THE STRAIT OF MESSINA AREA. ITS ROLE IN THE BRIDGE PRELIMINARY PROJECT

1991 ◽  
pp. 885-893
Author(s):  
P. BAGGIO ◽  
G.B. SIGALOTTI
Keyword(s):  
Remote Sensing ◽  
Archaeological Sites

Remote Sensing as a Tool for Archaeological Exploration and Mapping of Archaeological Sites (on the Example of Altai Model Sites)

2019 ◽  
Vol 951 (9) ◽  
pp. 40-54
Author(s):  
E.P. Krupochkin ◽  
S.I. Sukhanov ◽  
D.A. Vorobiev
Keyword(s):  
Remote Sensing ◽  
Computer Vision ◽  
Interdisciplinary Research ◽  
Software Package ◽  
Morphological Analysis ◽  
Remote Sensing Data ◽  
Archaeological Sites ◽  
Freedom Of Choice ◽  
Setting Parameters ◽  
Aerospace Images

The article is devoted to the problem of using remote sensing data for studying and mapping archaeological sites in interdisciplinary research. The purpose of the experiments is to develop a methodology for searching and mapping archeological monuments based on the interpretation of aerospace images. The problem to be solved is formalized search and the procedure of selecting objects. The complex of tasks for ridentifying objects from images cannot be realated only to the field of decryption, it also deals with the field of information processing signals (computer vision), and this is where the great potential for continuing experiments is seen. In the process of implementing the tasks, the Detection Artefacts software package was developed, which is based on noise reduction, filtering, morphological analysis, binarization, etc. Its notable feature is the freedom of choice settings, the ability of setting parameters

Investigating the distribution of archaeological sites: Multiparametric vs probability models and potentials for remote sensing data

2018 ◽  
Vol 95 ◽  
pp. 34-44 ◽  
Author(s):  
Mariangela Noviello ◽  
Barbara Cafarelli ◽  
Crescenza Calculli ◽  
Apostolos Sarris ◽  
Paola Mairota
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Archaeological Sites ◽  
Probability Models ◽  
Sensing Data

SpaCeborne SAR Interferometry as a Noninvasive tool to assess the vulnerability over Cultural hEritage sites (SCIENCE)

2021 ◽  
Author(s):  
Athanasia-Maria Tompolidi ◽  
Issaak Parcharidis ◽  
Constantinos Loupasakis ◽  
Michalis Fragkiadakis ◽  
Pantelis Soupios ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cultural Heritage ◽  
Ming Dynasty ◽  
Ground Deformation ◽  
Sar Interferometry ◽  
Archaeological Sites ◽  
Science Project ◽  
Heritage Sites ◽  
Persistent Scatterers ◽  
Great Wall

<p>Cultural heritage is a key element of history as the ancient monuments and archaeological sites enrich today’s societies and help connect us to our cultural origins. The project entitled ''SpaCeborne SAR Interferometry as a Nonivasive tool to assess the vulnerability over Cultural hEritage sites (SCIENCE)'' has as ultimate objective to predict the vulnerability of the archaeological sites to ground deformation in time and space and protect them against natural/man-made damage. The SCIENCE project aims to develop, demonstrate, and validate, in terms of geotechnical local conditions and monuments’ structural health, SAR interferometric techniques to monitor potential ground deformation affecting the archaeological sites and monuments of great importance. </p><p>During the last few years, spaceborne Synthetic Aperture Radar (SAR) interferometry has proven to be a powerful remote sensing tool for detecting and measuring ground deformation and studying the deformation’s impact on man-made structures. It provides centimeter to millimeter resolution and even single buildings/monuments can be mapped from space. Considering the limitations of conventional MT-InSAR techniques, such as Persistent Scatterers Interferometry (PSI), in this project a two-step Tomography-based Persistent Scatterers (PS) Interferometry (Tomo-PSInSAR) approach is proposed for monitoring ground deformation and structural instabilities over the Ancient City Walls (Ming Dynasty) in Nanjing city, China and in the Great Wall in Zhangjiakou, China. The Tomo-PSInSAR is capable of separating overlaid PS in the same location, minimizing the unfavorable layover effects of slant-range imaging in SAR data. Moreover, the demonstrations are performed on well-known test sites in China and in Greece, such as: a) Ming Dynasty City Walls in Nanjing, b) Great Wall in Zhangjiakou, c) Acropolis complex of Athens and d) Heraklion walls (Crete Island), respectively.</p><p>In particular, in the framework of SCIENCE project are processed several radar datasets such as Sentinel 1 A & B data of Copernicus program and the high resolution TerraSAR-X data. The products of Persistent Scatterers Interferometry (PSI) are exported in various formats for the identification of the persistent scatterers using high resolution optical images, aerial photographs and fusing with high accuracy Digital Surface Models (DSM). In addition, the validation of the results is taking place through in-situ measurements (geological, geothechnical e.t.c) and data for the cultural heritage sites conditions.</p><p>SCIENCE project’s final goal is the risk assessment analysis of the cultural heritage monuments and their surrounding areas aiming to benefit institutions, organizations, stakeholders and private agencies in the cultural heritage domain through the creation of a validated pre-operation non-invasive system and service based on earth observation data supporting end-user needs by the provision knowledge about cultural heritage protection. In conclusion, SCIENCE project is composed by a bilateral consortium of the Greek delegation of Harokopio University of Athens, National Technical University of Athens, Terra Spatium S.A, Ephorate of Antiquities of Heraklion (Crete), Acropolis Restoration Service (Athens) of Ministry of Culture and Sports and by the Chinese delegation of Science Academy of China (Institute of Remote Sensing and Digital Earth) and  International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the auspices of UNESCO (HIST-UNESCO).</p>

scholarly journals Remote Sensing the Archaeological Traces of Boat Movement in the Marshes of Southern Mesopotamia

2019 ◽  
Vol 11 (21) ◽  
pp. 2474 ◽  
Author(s):  
Jaafar Jotheri ◽  
Michelle de Gruchy ◽  
Rola Almaliki ◽  
Malath Feadha
Keyword(s):  
Remote Sensing ◽  
Persian Gulf ◽  
Human Movement ◽  
Trace Fossils ◽  
Google Earth ◽  
Archaeological Sites ◽  
Morphological Evidence ◽  
The Past ◽  
The Persian Gulf ◽  
Southern Iraq

This study presents the results of the first remote sensing survey of hollow ways in Southern Mesopotamia between Baghdad and the Persian Gulf, primarily using the imagery in Google Earth. For archaeologists, hollow ways are important trace fossils of past human movement that inform about how people travelled in the past and what considerations were important to them as they moved through the landscape. In this study, remotely sensed hollow ways were ground-truthed and dated by association with both palaeochannels and known archaeological sites. Contextual and morphological evidence of the hollow ways indicate that they are likely the archaeological manifestation of ethnographically attested “water channels” formed through the dense reeds of marshlands in southern Iraq, not formed by traction overland like other known hollow ways. The map itself documents the first known hollow ways preserved underwater and one of the best-preserved landscapes of past human movement in the Near East.

scholarly journals Documentation of archaeological sites in northern iraq using remote sensing methods

2015 ◽  
Vol XL-5/W7 ◽  
pp. 331-336
Author(s):  
E. Matoušková ◽  
K. Pavelka ◽  
K. Nováček ◽  
L. Starková
Keyword(s):  
Remote Sensing ◽  
Urban Landscape ◽  
Archaeological Sites ◽  
Urban Network ◽  
Northern Iraq ◽  
West Bohemia ◽  
Historical Sites ◽  
The University ◽  
Remote Sensing Methods

The MULINEM (The Medieval Urban Landscape in Northeastern Mesopotamia) project is aiming to investigate a Late Sasanian and Islamic urban network in the land of Erbil, historic province of Hidyab (Adiabene) that is located in the northern Iraq. The research of the hierarchical urban network in a defined area belongs to approaches rarely used in the study of the Islamic urbanism. The project focuses on the cluster of urban sites of the 6th–17th centuries A.D. This paper focuses on remote sensing analysis of historical sites with special interest of FORMOSAT-2 data that have been gained through a research announcement: Free FORMOSAT-2 satellite Imagery. Documentation of two archaeological sites (Makhmúr al-Qadima and Kushaf) are introduced. FORMOSAT-2 data results have been compared to historic CORONA satellite data of mentioned historical sites purchased earlier by the University of West Bohemia. Remote sensing methods were completed using in-situ measurements.

scholarly journals Endangered archaeology in Libya: recording damage and destruction

2017 ◽  
Vol 48 ◽  
pp. 23-49 ◽  
Author(s):  
Louise Rayne ◽  
Nichole Sheldrick ◽  
Julia Nikolaus
Keyword(s):  
Remote Sensing ◽  
Middle East ◽  
Natural Resource ◽  
North Africa ◽  
Coastal Plain ◽  
Agricultural Development ◽  
Urban Expansion ◽  
Archaeological Sites ◽  
Mena Region ◽  
Archaeological Heritage

AbstractLibya's archaeological heritage is under serious threat, not only because of recent conflict, but also due to other factors such as urban expansion, agricultural development, natural resource prospection, vandalism, looting and natural deterioration. The Endangered Archaeology in the Middle East and North Africa Project (EAMENA) has developed a database and methodology using remote sensing and other techniques to rapidly document archaeological sites and any disturbances and threats to them in Libya and across the MENA region. This paper will demonstrate this methodology and highlight the various types of disturbances and threats affecting the archaeology of Libya, concentrating on four case studies in different areas of the country, including the coastal plain around Zliten, a section of the Wadi Sofeggin in the pre-desert, and the desert oases of Jufra and Murzuq.

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