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

Lasaponara, Rosa; Masini, Nicola

doi:10.1016/j.jas.2011.02.002

Cited by 117 publications

(50 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We must improve the density of the LiDAR point cloud and obtain more knowledge of archaeological remains in the study area to extract and identify more remains using the algorithm. Although full-wave LiDAR can be used to extract more points under vegetation [5,6], the point density should be determined based on the specific archaeological remains. The associated technology is not the key problem; a lack of historical information and records hinders such studies.…”

Section: Discussionmentioning

confidence: 99%

“…During the past 50 years, aerial photos and satellite images have been the most common remote sensing data sources used in the field of archaeological identification, investigation, and surveying [1][2][3]. Visible spectral, infrared, and multispectral remote sensing are the most common remote sensing approaches, and have been used extensively to identify targets linked to the presence of archaeological earthworks and remains [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Microtopographic Feature Analysis-Based LiDAR Data Processing Approach for the Identification of Chu Tombs

Wang

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Most of the cultural sites hidden under dense vegetation in the mountains of China have been destroyed. In this paper, we present a microtopographic feature analysis (MFA)-based Light Detection and Ranging (LiDAR) data processing approach and an archaeological pattern-oriented point cloud segmentation (APoPCS) algorithm that we developed for the classification of archaeological objects and terrain points and the detection of archaeological remains. The archaeological features and patterns are interpreted and extracted from LiDAR point cloud data to construct an archaeological object pattern database. A microtopographic factor is calculated based on the archaeological object patterns, and this factor converts the massive point cloud data into a raster feature image. A fuzzy clustering algorithm based on the archaeological object patterns is presented for raster feature image segmentation and the detection of archaeological remains. Using the proposed approach, we investigated four typical areas with different types of Chu tombs in Central China, which had dense vegetation and high population densities. Our research results show that the proposed LiDAR data processing approach can identify archaeological remains from large-volume and massive LiDAR data, as well as in areas with dense vegetation and trees. The studies of different archaeological object patterns are important for improving the robustness of the proposed APoPCS algorithm for the extraction of archaeological remains.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Microtopographic Feature Analysis-Based LiDAR Data Processing Approach for the Identification of Chu Tombs

Wang

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Remote sensing applications for the aforementioned purposes bear a twofold utility, since, on one hand, they consist of distant non-destructive techniques, and, on the other hand, they cover broad areas instantly, enriching the information on Cultural Heritage (CH) sites in their context through landscape coverage [1,2].…”

Section: Introductionmentioning

confidence: 99%

Cultural Heritage Sites in Danger—Towards Automatic Damage Detection from Space

et al. 2016

View full text Add to dashboard Cite

Abstract:The intentional damage to local Cultural Heritage sites carried out in recent months by the Islamic State have received wide coverage from the media worldwide. Earth Observation data provide important information to assess this damage in such non-accessible areas, and automated image processing techniques will be needed to speed up the analysis if a fast response is desired. This paper shows the first results of applying fast and robust change detection techniques to sensitive areas, based on the extraction of textural information and robust differences of brightness values related to pre-and post-disaster satellite images. A map highlighting potentially damaged buildings is derived, which could help experts at timely assessing the damages to the Cultural Heritage sites of interest. Encouraging results are obtained for two archaeological sites in Syria and Iraq.

show abstract

“…Since the second half of last century, earth observation systems have been largely employed in archaeological research, thereby giving a relevant contribution in the studying of partially known sites or in the exploration of completely unknown archaeological deposits (Lasaponara and Masini, 2011;Gallo et al 2009;Rowland and Sarris, 2007).…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Systems and Spectroscopy for Remote Sensing Applications in Archaeology

Themistocleous

Αγαπίου

Cuca

et al. 2015

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

View full text Add to dashboard Cite

Commission VI, WG VI/4 KEY WORDS: remote sensing archaeology, UAV, ground spectroscopy, crop marks, cultural heritage ABSTRACT:Remote sensing has open up new dimensions in archaeological research. Although there has been significant progress in increasing the resolution of space/aerial sensors and image processing, the detection of the crop (and soil marks) formations, which relate to buried archaeological remains, are difficult to detect since these marks may not be visible in the images if observed over different period or at different spatial/spectral resolution. In order to support the improvement of earth observation remote sensing technologies specifically targeting archaeological research, a better understanding of the crop/soil marks formation needs to be studied in detail. In this paper the contribution of both Unmanned Aerial Systems as well ground spectroradiometers is discussed in a variety of examples applied in the eastern Mediterranean region (Cyprus and Greece) as well in Central Europe (Hungary). In-situ spectroradiometric campaigns can be applied for the removal of atmospheric impact to simultaneous satellite overpass images. In addition, as shown in this paper, the systematic collection of ground truth data prior to the satellite/aerial acquisition can be used to detect the optimum temporal and spectral resolution for the detection of stress vegetation related to buried archaeological remains. Moreover, phenological studies of the crops from the area of interest can be simulated to the potential sensors based on their Relative Response Filters and therefore prepare better the satellite-aerial campaigns. Ground data and the use of Unmanned Aerial Systems (UAS) can provide an increased insight for studying the formation of crop and soil marks. New algorithms such as vegetation indices and linear orthogonal equations for the enhancement of crop marks can be developed based on the specific spectral characteristics of the area. As well, UAS can be used for remote sensing applications in order to document, survey and model cultural heritage and archaeological sites.

show abstract

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

Cited by 117 publications

References 40 publications

A Microtopographic Feature Analysis-Based LiDAR Data Processing Approach for the Identification of Chu Tombs

A Microtopographic Feature Analysis-Based LiDAR Data Processing Approach for the Identification of Chu Tombs

Cultural Heritage Sites in Danger—Towards Automatic Damage Detection from Space

Unmanned Aerial Systems and Spectroscopy for Remote Sensing Applications in Archaeology

Contact Info

Product

Resources

About