Specific spectral bands for different land cover contexts to improve the efficiency of remote sensing archaeological prospection: The Arpi case study

Bassani, Cristiana; Cavalli, Rosa Maria; Goffredo, Roberto; Palombo, Angelo; Pascucci, Simone; Pignatti, Stefano

doi:10.1016/j.culher.2009.09.002

Cited by 29 publications

(28 citation statements)

References 14 publications

(35 reference statements)

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“…The selection of specific spectral bands for the detection of archaeological remains both in vegetated, as well under bare soil has been recently discussed by [29]. Indeed, as was found by [30], in cases where the dominant land cover over archaeological sites is known, then the optimal spectral range can be selected in order to improve the efficiency of archaeological observations using remote sensing data.…”

Section: Remote Sensing For Archaeological Perspectivementioning

confidence: 99%

Evaluating the Potentials of Sentinel-2 for Archaeological Perspective

et al. 2014

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Abstract:The potentials of the forthcoming new European Space Agency's (ESA) satellite sensor, Sentinel-2, for archaeological studies was examined in this paper. For this reason, an extensive spectral library of crop marks, acquired through numerous spectroradiometric campaigns, which are related with buried archaeological remains, has been resampled to the spectral characteristics of Sentinel-2. In addition, other existing satellite sensors have been also evaluated (Landsat 5 Thematic Mapper (TM); Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER); IKONOS; Landsat 4 TM; Landsat 7 Enhance Thematic Mapper Plus (ETM+); QuickBird; Satellite Pour l'Observation de la Terre (SPOT); and WorldView-2). The simulated data have been compared with the optimum spectral regions for the detection of crop marks (700 nm and 800 nm). In addition, several existing vegetation indices have been also assessed for all sensors. As it was found, the spectral characteristics of Sentinel-2 are able to better distinguish crop marks compared to other existing satellite sensors. Indeed, as it was found, using a simulated Sentinel-2 image, not only known buried archaeological sites were able to be detected, but also other still unknown sites were able to be revealed.

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Section: Remote Sensing For Archaeological Perspectivementioning

confidence: 99%

Evaluating the Potentials of Sentinel-2 for Archaeological Perspective

et al. 2014

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“…In archaeology, AIS is considered to have a huge potential for airborne prospection, because it is assumed to overcome the deficits of conventional and multispectral imagery and enhance the visibility of soil color differences and plant stress. Several studies have demonstrated the advantage of this imaging technique (e.g., [25][26][27][28][29][30][31][32][33][34][35]). …”

Section: Introduction-airborne Imaging Spectroscopy and Archaeologicamentioning

confidence: 99%

ARCTIS — A MATLAB® Toolbox for Archaeological Imaging Spectroscopy

et al. 2014

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Imaging spectroscopy acquires imagery in hundreds or more narrow contiguous spectral bands. This offers unprecedented information for archaeological research. To extract the maximum of useful archaeological information from it, however, a number of problems have to be solved. Major problems relate to data redundancy and the visualization of the large amount of data. This makes data mining approaches necessary, as well as efficient data visualization tools. Additional problems relate to data quality. Indeed, the upwelling electromagnetic radiation is recorded in small spectral bands that are only about ten nanometers wide. The signal received by the sensor is, thus quite low compared to sensor noise and possible atmospheric perturbations. The often small, instantaneous field of view (IFOV)-essential for archaeologically relevant imaging spectrometer datasets-further limits the useful signal stemming from the ground. The combination of both effects makes radiometric smoothing techniques mandatory. The present study details the functionality of a MATLAB ® -based toolbox, called ARCTIS (ARChaeological Toolbox for Imaging Spectroscopy), for filtering, enhancing, analyzing, and visualizing imaging spectrometer datasets. The toolbox addresses the above-mentioned problems. Its 8618Graphical User Interface (GUI) is designed to allow non-experts in remote sensing to extract a wealth of information from imaging spectroscopy for archaeological research. ARCTIS will be released under creative commons license, free of charge, via website (http://luftbildarchiv.univie.ac.at).

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“…Many scholars have been able to reveal archaeological remains beneath ground surface, using a variety of existing algorithms with different rate of success [18][19][20][21][22]. However, the development of new or the modification of existing algorithms for supporting archaeological research is still very limited.…”

Section: Introductionmentioning

confidence: 99%

Orthogonal Equations of Multi-Spectral Satellite Imagery for the Identification of Un-Excavated Archaeological Sites

et al. 2013

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This paper aims to introduce new linear orthogonal equations for different satellite data derived from QuickBird; IKONOS; WorldView-2; GeoEye-1, ASTER; Landsat 4 TM and Landsat 7 ETM+ sensors, in order to enhance the exposure of crop marks. The latest are of significant value for the detection of buried archaeological features using remote sensing techniques. The proposed transformations, re-projects the initial VNIR bands of the satellite image, into a new 3D coordinate system where the first component is the so called "crop mark", the second component "vegetation" and the third component "soil". For the purpose of this study, a large ground spectral signature database has been explored and analyzed separately for each different satellite image. The narrow band reflectance has been re-calculated using the Relative Spectral Response filters of each sensor, and then a PCA analysis was carried out. Subsequently, the first three PCA components were rotated in order to enhance the detection of crop marks. Finally, all proposed transformations have been successfully evaluated in different existing archaeological sites and some interesting crop marks have been exposed.

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Specific spectral bands for different land cover contexts to improve the efficiency of remote sensing archaeological prospection: The Arpi case study

Cited by 29 publications

References 14 publications

Evaluating the Potentials of Sentinel-2 for Archaeological Perspective

Evaluating the Potentials of Sentinel-2 for Archaeological Perspective

ARCTIS — A MATLAB® Toolbox for Archaeological Imaging Spectroscopy

Orthogonal Equations of Multi-Spectral Satellite Imagery for the Identification of Un-Excavated Archaeological Sites

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