QuickBird‐based analysis for the spatial characterization of archaeological sites: Case study of the Monte Serico medieval village

Lasaponara, Rosa; Masini, Nicola

doi:10.1029/2005gl022445

Cited by 34 publications

(25 citation statements)

References 10 publications

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“…According to soil spectral signatures, the Quickbird red channel has been found to be capable of revealing soil marks (Lasaponara and Masini, 2005). Whereas, according to the vegetation spectral behaviour, the Quickbird near-infrared (NIR) channel has been found to be capable of enhancing crop-marks (Lasaponara and Masini, 2007), as already verified for other satellite data (Fowler 2002).…”

Section: Rationale Basis and Data Processingmentioning

confidence: 53%

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

2008

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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.

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Section: Rationale Basis and Data Processingmentioning

confidence: 53%

“…Early morning or late afternoon satellite pictures may capture the slight shadows originating from micro-topographic relief when the sun is low. The presence of micro-topographic relief, could be much more evident in the Quickbird panchromatic or red images (Lasaponara and Masini, 2005).…”

Section: Rationale Basis and Data Processingmentioning

confidence: 99%

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

2008

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“…5). Such features are also visible from the 1995 aerial image (Masini 1995) and the satellite data (Lasaponara & Masini 2005). The DTM ( fig.…”

Section: Monte Serico Case Study 531 Study Area and Previous Investmentioning

confidence: 96%

“…The latter has been discovered in 1995, by means of aerial photos (Masini 1995). The use of QuickBird images allowed us to improve the spatial characterization of the urban shape (Lasaponara & Masini 2005). A more detailed reconstruction of the urban fabric has been obtained by LiDAR survey carried out by GEOCART on 20th September 2008 using a full-waveform scanner, RIEGL LMS-Q560 on board a helicopter.…”

Section: Monte Serico Case Study 531 Study Area and Previous Investmentioning

confidence: 99%

“…In such regard, we cite the identification of a Maya settlement in the jungle of northeast Guatemala (Garrison et al, 2008). As concerns the second limitation, the visibility of micro-relief depends on many factors, such as off-nadir viewing angle of the collected imagery, time of image acquisition, view geometry, sun angle (micro-topographic relief variations are more visible in early morning or late evening) and surface characteristics (the presence of surface chaotic building material could make the detection of geometrical microrelief pattern very difficult; see, for example Lasaponara & Masini, 2005). The above-said restrictions of optical imagery could be overcome by airborne laser scanner (ALS), also referred to as Light Detection And Ranging (LiDAR).…”

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confidence: 99%

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On the Airborne Lidar Contribution in Archaeology: from Site Identification to Landscape Investigation

Masini¹,

Coluzzi²,

Lasaponara³

2011

Laser Scanning, Theory and Applications

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A pixel‐based semi‐stochastic algorithm for the registration of geophysical images

Karamitrou

Τσοκασ

Petrou

2017

Archaeological Prospection

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The availability of overlapping geophysical data produced by different sensors provides complementary information about the investigation area. However, joint interpretation of these geophysical images is challenging. One common problem is the registration of the images that is necessary to compare features appearing in dissimilar datasets. Measurements in archeological geophysics are often performed by handheld devices therefore, the actual location of the measurement could be different from the planned one. These offsets are localized and essentially random. Consequently, it is impossible to correct them following usual deterministic approaches. This paper presents a novel registration method between geophysical images produced from different prospecting methods. We developed a semi‐stochastic, iterative registration algorithm that applies random local transformations in small randomly selected regions of the processed image. The algorithm uses the mutual information of the images as similarity measure due to its suitability in images of different modalities. We use a pair of images to train the algorithm and tune its parameters. Afterwards, we test the method with nine different pairs of geophysical images from various locations and characteristics. The results, in all cases, show a significant increase of the mutual information in comparison with the registration through geographical coordinates.

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QuickBird‐based analysis for the spatial characterization of archaeological sites: Case study of the Monte Serico medieval village

Cited by 34 publications

References 10 publications

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

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

On the Airborne Lidar Contribution in Archaeology: from Site Identification to Landscape Investigation

A pixel‐based semi‐stochastic algorithm for the registration of geophysical images

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