Interpretation of archaeological small-scale features in spectral images

Grøn, Ole; Palmér, Susanna; Stylegar, Frans-Arne; Esbensen, Kim H.; Kucheryavski, Sergey; Aase, Sigurd

doi:10.1016/j.jas.2009.11.023

Cited by 24 publications

(13 citation statements)

References 2 publications

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“…However, Quickbird data also had limitations. Grøn et al (2011Grøn et al ( :2030 recently observed that "it is important to be aware...that spatial variations occurring within similar types of features due to ploughing, individual behavioral patterns in prehistory as well as variations due to the geological background noise can cause considerable variation in the way one type of archaeological feature will appear." A mosaic of land-use practices surrounds Xaltocan.…”

Section: Discussionmentioning

confidence: 99%

Mapping ancient chinampa landscapes in the Basin of Mexico: a remote sensing and GIS approach

Morehart

2012

Journal of Archaeological Science

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Section: Discussionmentioning

confidence: 99%

Mapping ancient chinampa landscapes in the Basin of Mexico: a remote sensing and GIS approach

Morehart

2012

Journal of Archaeological Science

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“…IKONOS II imageries were used to evaluate the human impact on the multi-temporal change of obsidian sources. Grøn et al (2011) present an overview of archaeological results obtained through the analysis of multispectral satellite images. Moreover, the paper focuses on a method of verification in-site based on the correlation between archaeological anomalies observed in spectral data and chemical variations in the sediment.…”

Section: The Special Issue Of the Journal Of Archaeological Sciencementioning

confidence: 99%

Satellite remote sensing in archaeology: past, present and future perspectives

Lasaponara

Masini

2011

Journal of Archaeological Science

117

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“…These changes, related to vegetation coverage, humidity and organic material content, appear as subtle spatial discontinuities or variations in the reflectance values (i.e. tones or colours) of vegetation and soil surface (Agapiou & Hadjimitsis, 2011;Beck, 2007;Crawford, 1929;Grøn et al, 2011;Lasaponara & Masini, 2007;Rowlands & Sarris, 2007;Traviglia & Cottica, 2011;Wilson, 1982).…”

Section: Introductionmentioning

confidence: 99%

Towards an operative use of remote sensing for exploring the past using satellite data: The case study of Hierapolis (Turkey)

Lasaponara

Leucci

Masini

et al. 2016

Remote Sensing of Environment

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This paper is focused on the presentation and discussion of an object oriented approach, applied to the Hierapolis (Turkey) site, to automatically detect the subtle features linked to buried archaeological remains. The data processing is applied twice: (i) first, globally at the whole image and, (ii) second, at the significant subsets identified by global analysis, in order to refine the previously obtained categorization. Object oriented approaches are usually based on two main steps: i) first the segmentation, ii) then the classification. Herein, we first performed the unsupervised classification step and, then, the segmentation. This choice is given by the specificity of archaeological issue, in particular: (i) the subtle features/targets to be identified are partially or totally unknown and characterized by a very small spectral separability from the background, and therefore (ii) the discrimination between archaeological class and substrates likely suffers significant confusion. To cope with these issues, the first step is based on an unsupervised classification, which provides a first 'rough' categorization of pixels; the second step, based on the segmentation, enables us to extract the geometric shape, and, in turn, to only categorize as archaeological class those pixels belonging to geometrically (rectangular and linear) shaped clusters. Outputs from this classification identify rectangular and linear features of archaeological interest whose size suggested that they may be a farm and some sectors of an aqueduct, respectively. Results from satellite based analysis were successfully evaluated by georadar and geomagnetic prospection along with field survey. From georadar and geomagnetic prospection we were able i) to confirm the presence of buried remains and ii) to detail and characterize these archaeological features at the subsoil level as well as to define the local stratigraphy. From field survey we dated the detected buried remains to a period spanning from Imperial Roman to early Byzantine historical times.

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Interpretation of archaeological small-scale features in spectral images

Cited by 24 publications

References 2 publications

Mapping ancient chinampa landscapes in the Basin of Mexico: a remote sensing and GIS approach

Mapping ancient chinampa landscapes in the Basin of Mexico: a remote sensing and GIS approach

Satellite remote sensing in archaeology: past, present and future perspectives

Towards an operative use of remote sensing for exploring the past using satellite data: The case study of Hierapolis (Turkey)

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