Integrated GIS, remote sensing and geomorphologic approaches for the reconstruction of the landscape habitation of Thessaly during the neolithic period

Alexakis, Dimitrios D.; Sarris, Apostolos; Astaras, Theodoros; Albanakis, K.

doi:10.1016/j.jas.2010.08.013

Cited by 73 publications

(46 citation statements)

References 11 publications

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“…Many have become reference works [30][31][32][33][34] that list associated scientific principles important to archaeologists and amateurs alike. They demonstrate good practices in applying non-destructive techniques [35], and offer case studies with notable results [36][37][38]. In our research, we chose this approach to ensure that we can detect most types of cultural anomalies since the contrast displayed by the archaeological structures, as well as the signatures generated by them, differ according to the prospecting method employed, climatic, environmental conditions, and other factors.…”

Section: Methodology and Data Acquisitionmentioning

confidence: 99%

Inside a Cucuteni Settlement: Remote Sensing Techniques for Documenting an Unexplored Eneolithic Site from Northeastern Romania

Asăndulesei

2017

Remote Sensing

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This paper presents recent results of an integrated non-invasive investigation carried out in a previously unexplored settlement from northeastern Romania, belonging to the last great Eneolithic civilisation of Old Europe, the Cucuteni-Trypillia cultural complex. Although there is a long history of research concerning this culture, at only a handful of sites has archaeological research completed a comprehensive planimetric image. This makes it impossible to determine a typological evolution of the internal organisation of Cucutenian sites, both diachronically, across the three great phases of the culture (A, A−B and B for the Romanian area), and spatially, from SE Transylvania to the Republic of Moldova, and towards the steppes of the Ukraine. Accordingly, in certain environmental conditions, many essential behavioural aspects of Cucutenian communities are far from understood. Consequently, the generalisation and integration of non-invasive prospecting methods-Light Detection and Ranging (LiDAR), aerial photography, earth resistivity, magnetometry, and their integration through Geographic Information System (GIS)-clearly represents a feasible alternative for deciphering the Cucuteni culture. These complementary investigation methods were applied for this case study, emphasis being put on the conjoint use of datasets from each technique. On the basis of results recently obtained from the Rȃzboieni-Dealul Mare/Dealul Boghiu site, innovative characteristics are described concerning intra-site spatial organisation, a typology of the fortification systems, the existence of ritual or delimitation ditches, and the presence of habitations outside fortified areas.

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Section: Methodology and Data Acquisitionmentioning

confidence: 99%

Inside a Cucuteni Settlement: Remote Sensing Techniques for Documenting an Unexplored Eneolithic Site from Northeastern Romania

Asăndulesei

2017

Remote Sensing

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“…The 30 m resolution DEMs were provided by ASTER. We used the equation of Schumann [45] to check the validity of different DEMs by comparing a number of reference points (datum points) ( Table 1). The DEMs were validated by reference elevation data distributed across the study area.…”

Section: Dem Quality Assessmentmentioning

confidence: 99%

“…GIS tools could be necessary for mapping and additional analysis such as buffer zoning, neighbouring computation and overlay analysis were used to construct a predictive model. The specific predictive model was built based on the use of a multi-parametric spatial analysis method of geographic elements, statistical and archaeological information in order to construct partial maps of archaeological interest [45,47,48]. The environmental factors, namely elevation, aspect, slope, distance from water sources, geology or rock types, were noted to have an influence on the choice of habitation in the Neolithic period in Awsard.…”

Section: Geo-archaeological Variablesmentioning

confidence: 99%

GIS and Remote-Sensing Application in Archaeological Site Mapping in the Awsard Area (Morocco)

et al. 2018

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Abstract:Morocco is famous as one of the archaeologically richest places with many sites. In addition, some of the sites have been listed as UNESCO World Human Heritage sites. In situ observations are used in cultural heritage and archaeological sites mapping. However, this procedure requires periodic observations, which are practically difficult to combine with traditional methods and practices since this is time consuming and expensive. Thus, modern technologies, mainly GIS and remote sensing, are gaining attention as tools for prediction at archaeological sites. The aim of this paper is to assess the application of GIS and remote sensing in order to develop a predictive model, which will be used in locating areas with high potential as archaeological sites in the Awsard area (southern Morocco). The analytic hierarchy process (AHP) as a multi-criteria decision making method, which integrates archaeological data and environmental factors, geospatial analysis and predictive modelling, has been applied to the identification of possible tumuli locations in the study area. The model was developed using a zone of 21 km 2 with 233 known sites. It was later validated using 530 unknown sites within an area of 980 km 2 . The acceptable accuracy of 93% was calculated using an estimation of predictive gain, which proves the efficiency of the model's predictive ability.

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“…The applications of GIS in archaeology are visualization, spatial analysis and archaeological predictive modeling (Luo et al, 2014). GIS-based archaeology is now paid more and more attention all over the world and there have been many successful cases which are mostly engaged in archaeological mapping, prospection and relic management (Espa et al, 2006;Evans et al, 2007;Alexakis et al, 2011;Sadr and Rodier, 2012).…”

Section: Introductionmentioning

confidence: 99%

Ancient Stone Tidal Weirs in Penghu Archipelago: Distribution, Category, Structure and Function, a Google Earth and GIS Approach

Luo

Wang

Liu

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The aim of this study was to give a comprehensive archaeological investigation for Penghu's stone tidal weirs (STWs) based on both Google Earth and GIS. Firstly, this study uses GoogleEarth Pro tools to clip a GeoEye-1 image (acquisition date: 22/07/2013) and a WorldView-2 image (acquisition date: 25/01/2014) for Chipei Island and Husi Island, respectively, and save them at a "premium resolution" of 4800 dpi. More, using 15 m panchromatic orthorectified Landsat images as a base, two clips were geo-referenced in ENVI 5.1 with minimal root mean square error. Furthermore, the STWs were manual extracted from the two GoogleEarth images in ArcGIS 10.1. Category and size statistics are presented; construction structure and weir function are discussed. Lastly, by using GIS analyses, STWs characteristics of intertidal flats across Penghu archipelago have been mapped and related to key geographical environmental variables. From spring to summer of 2015 our research team conducted investigations into Penghu's STWs based on different seasons and time periods of GoogleEarth historic images. Our results showed that, distributed amongst Penghu's coastline, there are 503 STWs. Compared with the official survey results (around 592 STWs), the counts are similar but the GoogleEarth-based method is more time-saving and efficient.

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Integrated GIS, remote sensing and geomorphologic approaches for the reconstruction of the landscape habitation of Thessaly during the neolithic period

Cited by 73 publications

References 11 publications

Inside a Cucuteni Settlement: Remote Sensing Techniques for Documenting an Unexplored Eneolithic Site from Northeastern Romania

Inside a Cucuteni Settlement: Remote Sensing Techniques for Documenting an Unexplored Eneolithic Site from Northeastern Romania

GIS and Remote-Sensing Application in Archaeological Site Mapping in the Awsard Area (Morocco)

Ancient Stone Tidal Weirs in Penghu Archipelago: Distribution, Category, Structure and Function, a Google Earth and GIS Approach

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