scholarly journals New perspectives for satellite-based archaeological research in the ancient territory of Hierapolis (Turkey)

2008 ◽  
Vol 19 ◽  
pp. 87-96 ◽  
Author(s):  
R. Lasaponara ◽  
N. Masini ◽  
G. Scardozzi

Abstract. This paper deals with the use of satellite QuickBird images to find traces of past human activity in the ancient territory of Hierapolis (Turkey). This is one of the most important archaeological sites in Turkey, and in 1988 it was inscribed in the UNESCO World Heritage list. Although over the years the archaeological site of Hierapolis has been excavated, restored and well documented, up to now the territory around the ancient urban area is still largely unknown. The current research project, still in progress, aims to search the area neighbouring Hierapolis believed to have been under the control of the city for a long time and, therefore, expected to be very rich in archaeological evidence. In order to investigate a large area around the ancient Hierapolis and discover potential archaeological remains, QuickBird images were adopted. Results from satellite-based analysis allowed us to find several unknown rural settlements dating back to early Imperial Roman and the Byzantine age. Two significant test sites were focused on in this paper in order to characterize the different spectral responses observed for different types of archaeological features (shadow and soil marks). Principal Component Analysis and spectral indices were computed to enhance archaeological marks and make identification easier. The capability of the QuickBird data set (panchromatic, multispectral channel, PCA and spectral indices) in searching for archaeological marks was assessed in a quantitative way by using a specific indicator.

2019 ◽  
Author(s):  
Sawyer Reid stippa ◽  
George Petropoulos ◽  
Leonidas Toulios ◽  
Prashant K. Srivastava

Archaeological site mapping is important for both understanding the history as well as protecting them from excavation during the developmental activities. As archaeological sites generally spread over a large area, use of high spatial resolution remote sensing imagery is becoming increasingly applicable in the world. The main objective of this study was to map the land cover of the Itanos area of Crete and of its changes, with specific focus on the detection of the landscape’s archaeological features. Six satellite images were acquired from the Pleiades and WorldView-2 satellites over a period of 3 years. In addition, digital photography of two known archaeological sites was used for validation. An Object Based Image Analysis (OBIA) classification was subsequently developed using the five acquired satellite images. Two rule-sets were created, one using the standard four bands which both satellites have and another for the two WorldView-2 images their four extra bands included. Validation of the thematic maps produced from the classification scenarios confirmed a difference in accuracy amongst the five images. Comparing the results of a 4-band rule-set versus the 8-band showed a slight increase in classification accuracy using extra bands. The resultant classifications showed a good level of accuracy exceeding 70%. Yet, separating the archaeological sites from the open spaces with little or no vegetation proved challenging. This was mainly due to the high spectral similarity between rocks and the archaeological ruins. The satellite data spatial resolution allowed for the accuracy in defining larger archaeological sites, but still was a difficulty in distinguishing smaller areas of interest. The digital photography data provided a very good 3D representation for the archaeological sites, assisting as well in validating the satellite-derived classification maps. All in all, our study provided further evidence that use of high resolution imagery may allow for archaeological sites to be located, but only where they are of a suitable size archaeological features.


2021 ◽  
Vol 13 (14) ◽  
pp. 2719
Author(s):  
Nicodemo Abate ◽  
Alessia Frisetti ◽  
Federico Marazzi ◽  
Nicola Masini ◽  
Rosa Lasaponara

Unmanned aerial vehicles are currently the most used solution for cultural heritage in the field of close range and low altitude acquisitions. This work shows data acquired by multitemporal and multispectral aerial surveys in the archaeological site of San Vincenzo al Volturno (Molise, Italy). The site is one of the most important medieval archaeological sites in the world. It is a monastic settlement that was particularly rich during the early Middle Ages, and is famous for its two full-frescoed crypts which represent a milestone in the history of medieval art. Thanks to the use of multispectral aerial photography at different times of the year, an area not accessible to archaeological excavation has been investigated. To avoid redundancy of information and reduce the number of data to be analysed, a method based on spectral and radiometric enhancement techniques combined with a selective principal component analysis was used for the identification of useful information. The combination of already published archaeological data and new remote sensing discoveries, has allowed to better define the situation of the abbey during the building phases of the 8th/9th century and 11th century, confirming and adding new data to the assumptions made by archaeologists.


2021 ◽  
Vol 28 (2) ◽  
pp. 221-260
Author(s):  
Adnan Almohamad

AbstractThe Islamic State of Iraq and Syria (ISIS) occupied the city of Manbij and its countryside from 23 January 2014 until 12 August 2016. During this period, the region suffered greatly as ISIS monopolized control and brutally imposed its ideology. Fierce battles were fought for the control of oil wells, bakeries, mills, dams, and power stations, all of which were sources of revenue. Antiquities were soon recognized as another potential income source. This article demonstrates the ways in which ISIS began to administer and facilitate the looting of antiquities through the Diwan Al-Rikaz. Within this diwan, ISIS established the Qasmu Al-Athar, which was specifically responsible for looting antiquities. Based on interviews conducted in 2015 and primary documents, this article studies the specific ways in which ISIS facilitated the quarrying and looting of antiquities in Manbij and the rich archaeological sites of its countryside. Further, by examining the damage at a previously undocumented archaeological site, Meshrefet Anz, the looting of antiquities under the direct supervision of the Diwan Al-Rikaz is studied. Using documentary evidence including ISIS’s internal documentation as well as photographs collected by the author between 2014 and 2016, the article demonstrates the methods used by ISIS, reveals its financial motivations, and bears witness to the damage done at specific Syrian heritage sites.


2020 ◽  
Vol 35 (2) ◽  
pp. 251-257
Author(s):  
І. V. Zotsenko

The material and archaeological context of the research of Architectural and Archaeological Expedition of the IA NAS of Ukraine in 2016—2017 are considered in the paper. The group of sites dating to the 11th—13th centuries is located in the southern part of Kyiv named Feofania. This archaeological complex includes the hill-fort and three settlements. The officers of the Kyiv Archaeology Department Dr. O. Manigda and V. Kryzhanovsky made the surveying of the site. The exploration in 2016—2017 is connected with the construction of residential complex on the territory of settlement 2. Due to it the large area of the settlement — 2850 m2 — was discovered and explored. During the excavations 55 archaeological sites of Old Rus time were discovered. Among them are the residential and industrial buildings, outbuildings. The latter includes the object with a complex of adobe kilns (such structures have a very few analogies). The large number of archaeological material was collected among which are the items with the city nomenclature. Paleobotanical remains are distinguished in a separate numerous category of material. The traces of two fires have been occurred at the settlement. If the second fire is related to the collapse of the settlement during the Tatar-Mongol invasion (1240), the first one dates to the end of 11th — beginning of the 12th century, and the reason of it is unknown. Summing up the previous results, it is possible to refer the settlements No. 2 to the type of settlements privately owned by representatives of the feudal class. The group settlements and the hill-fort formed the block-post controlling the way to Kyiv from the south. In addition to Medieval antiquities the number of finds and objects of the Late Bronze — Early Iron Ages, as well as three burials of the late 18th—19th centuries, which apparently related to the cemetery of Saint Panteleimon Monastery, were discovered.


Author(s):  
D. J. Marino ◽  
E. A. Castro ◽  
L. Massolo ◽  
A. Mueller ◽  
O. Herbarth ◽  
...  

In the present study, statistical methods based on multivariate analyses such as the Descriptive Discriminant Analysis (DDA) and Principal Component Analysis (PCA) were applied to determine relationships between particle sizes and the composition of the associated semi-volatile compounds, in addition to evaluating these observations in relation to the emission sources, study areas, sampling campaigns and season. Results from the DDA showed that the PAHs distributions give the best discrimination capacity within the data set, whereas the PAH distribution in intermediate particle fractions incorporates noise in the statistical analysis. The PCA was useful in identifying the main emission sources in each study area. It showed that in the city of La Plata the most important pollution sources are traffic emissions and the industrial activity associated with oil and petrochemical plants. In Leipzig, the main sources are those associated with traffic and also a power plant. The combined PCA and DDA methods applied to PAH distributions is a valuable tool in characterizing types of emissions burdens and also in obtaining a differentiation of sample identity according to study areas and sampling times.


Author(s):  
Ioana Feher ◽  
Cornelia Veronica Floare-Avram ◽  
Florina-Dorina Covaciu ◽  
Olivian Marincas ◽  
Romulus Puscas ◽  
...  

Edible mushrooms have been recognized as highly nutritional food for a long time, due to their specific flavor, texture and also for therapeutic effects. This study proposes a new simple approach, based on FT-IR analysis, followed by statistical methods, in order to differentiate three wild mushrooms species from Romanian spontaneous flora, namely Armillaria mellea, Boletus edulis and Cantharellus cibarius. The preliminary data treatment consisted of data set reduction with principal component analysis (PCA), which provided scores for the next methods. Linear discriminant analysis (LDA) manage to 100% classify the three species and the cross validation step of the method returned 97.4% of correctly classified samples. Only one A. mellea sample overlapped on B. edulis group. When kNN was used in the same manner as LDA, the overall percent of correctly classified samples from the training step was 86.21%, while for holdout set the percent raised at 94.74%. The lowered values obtained for the training set was due to one C. cibarius sample, two B. edulis and five A. mellea, which were placed to other species. Anyway, for holdout sample set, only one sample from B. edulis was misclassified. The fuzzy c-means clustering (FCM) analysis successfully classified investigated mushroom samples according to their species, meaning that in every partition the predominant specie had the biggest DOMs, while samples belonging to other specie had lower DOMs.


2020 ◽  
Vol 13 (2) ◽  
pp. 11
Author(s):  
Bekti Endar Susilowati ◽  
Pardomuan Robinson Sihombing

Principal Component Analysis (PCA) merupakan salah satu analisis multivariat yang digunakan untuk mengganti variable dengan Principal Component yang sedikit jumlahnya namun tidak terlalu banyak informasi yang hilang. Atau dengan kata lain, it used to explain the underlying variance-covariance structure of the large data set of variables through a few linear combination of these variables. PCA sangat dipengaruhi oleh kehadiran outlier karena didasarkan pada matriks kovarian yang sensitive terhadap outlier. Oleh karena itu, pada analisis ini akan digunakan PCA yang robust terhadap outlier yaitu ROBPCA atau PCA Hubert. Selanjutnya, dari Principal Component yang terbentuk digunakan sebagai input (masukan) untuk cluster analysis dengan metode Clara (Clustering Large Area). Clustering Large Area merupakan salah satu metode k-medoids yang robust terhadap outlier dan baik digunakan pada data dalam jumlah besar. Dalam studi kasus terhadap variabel penyusun indeks kebahagiaan berdasarkan The World Happiness Report 2018 dengan metode Clara yang menggunakan jarak manhattan didapatkan nilai rata-rata Overall Average Silhouette Width yang terbaik pada 5 cluster. 


Author(s):  
Privatus Christopher

Deaths of children younger than 5 years has been a global problem for long time. This study is focused on evaluating diseases that caused under five child mortality in Tanzania in 2013. Diseases that causes child mortality were collected from 25 regions and analysed for 42 disease variables. The data obtained were standardized and subjected to principal component analysis (PCA) to define the diseases responsible for the variability in child mortality. PCA produced seven significant main components that explain 73:40% of total variance of the original data set. The results reveal that Thyroid Diseases, Snake and Insect Bites, Vitamin A Deficiency /Xerophthalmia, Eye Infections, Schistosomiasis (SS), Intestinal Worms, Ear Infections, Haematological Diseases, Diabetes Mellitus, Ill Defined Symptoms no Diagnosis, Poisoning, Anaemia, HIV/AIDS, Burns, Rheumatic Fever, Bronchial Asthma, Peri-natal conditions and Urinary tract infection are most significant diseases in assessing under five child mortality in Tanzania mainland. This study suggest that PCA technique is useful tool for identification of important diseases that causes death of children less than five years.


2020 ◽  
Author(s):  
Alexander R. Brown ◽  
George Petropoulos ◽  
Leonidas Toulios ◽  
Swaiti Suman

Archaeological site mapping is important for both understanding the history and protectingthe sites from excavation during developmental activities. As archaeological sites aregenerally spread over a large area, use of high spatial resolution remote sensing imageryis becoming increasingly applicable in the world. The main objective of this study is tomap the land cover of the Itanos area of Crete and of its changes, with specific focus onthe detection of the landscape’s archaeological features. Six satellite images were acquiredfrom the Pleiades and WorldView-2 satellites over a period of 3 years. In addition, digitalimagery of two known archaeological sites was used for validation. An object-based imageanalysis classification was subsequently developed using the five acquired satellite images.Two rule sets were created, one using the standard four bands which both satellites haveand another for the two WorldView-2 images with their four extra bands included. Validationof the thematic maps produced from the classification scenarios confirmed a differencein accuracy amongst the five images. Comparing the results of a 4-band rule set versusthe 8-band rule set showed a slight increase in classification accuracy using extra bands.The resultant classifications showed a good level of accuracy exceeding 70%. Yet, separatingthe archaeological sites from the open spaces with little or no vegetation proved tobe challenging. This was mainly due to the high spectral similarity between rocks and thearchaeological ruins. The high resolution of the satellite data allowed for the accuracy indefining larger archaeological sites, but still there was difficulty in distinguishing smallerareas of interest. The digital image data provided a very good 3D representation for thearchaeological sites, assisting as well as in validating the satellite-derived classificationmaps. To conclude, our study provides further evidence that use of high resolution imagerymay allow for archaeological sites to be located, but only where the archaelogical featuresare of an adequate size.


Author(s):  
E. Alby ◽  
E. Vigouroux ◽  
R. Elter

<p><strong>Abstract.</strong> In this paper will be presented the use of photogrammetry integrated to the process of representation of an archaeological site. The Khirbat al-Dūsaq site, Jordan, is an architectural complex composed by three remaining buildings with different shapes and functions. The first one is a reception building name īwān. The second one is vaulted and its function has not been determined yet. The third is a bath with all the complexity that are required for such a function (multiple rooms and sequence of spaces). The site is being excavated and there remains unknown information archaeologists want to discover and represent. This project takes places after several years of collaboration on different other archaeological sites. During these different projects, methods of acquisition, processes and drawings at different places and stages have been developed and work methods that includes the use of photogrammetry are now integrated to the archaeological practices. There is now a need by archaeologists for ortho-photos to draw precise plans. The integration of photogrammetry into the practice of archaeology on site helps also to reduce the time consumption to survey and to represent excavation activity. The data sets obtained year after year can also be used as a support for 3D reconstruction. The 3D modelling stage begins by integrating the context represented here by 3D textured mesh produced during the process of ortho-photos. The integration of photogrammetry started in 2015 by acquiring pictures from bath building. This work had to be extended to the entire complex so that it has been decided to manage it, in a proper way. In 2016, a survey network has been implemented, and complete photogrammetric data set have been produced. At this time there was a photogrammetric survey reference for all the data sets of the site. Several years of survey means that the project has to adapt to its specific context. The site life during 11 months without archaeological preoccupations signifies that it is evolving, so that in 2017, ground points had disappeared. The possibility to geo-reference future data sets imposes to integrate targets on pictures from 2016 data set. The remaining building walls on site keep their shape enough to be integrated as constant structures over the years. At first it has been decided to integrate photogrammetry technic to the representation process of the Khirbat al-Dūsaq site. It has proved, by the precision and flexibility of processes that good quality representations could be produced and the 3D documentation could be used as a support of 3D reconstruction stage also. Photogrammetric documentation, as soon as it is properly managed over the years can thus be integrated in archaeologic practices and can help to reduce time consuming stages and propose other activity support as 3D reconstruction.</p>


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