Best period for high spatial resolution satellite images for the detection of marks of buried structures
Improvements in sensor technology in recent decades led to the creation of ground, air and space imaging systems, whose data can be used in archaeological studies. Greece is one of the lucky areas that are rich in archaeological heritage. The detection of prehistoric/historic undiscovered constructi...
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| Format: | Article |
| Language: | English |
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Elsevier
2012-06-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982311000366 |
| _version_ | 1818422774638575616 |
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| author | Dimitrios Kaimaris Petros Patias Maria Tsakiri |
| author_facet | Dimitrios Kaimaris Petros Patias Maria Tsakiri |
| author_sort | Dimitrios Kaimaris |
| collection | DOAJ |
| description | Improvements in sensor technology in recent decades led to the creation of ground, air and space imaging systems, whose data can be used in archaeological studies. Greece is one of the lucky areas that are rich in archaeological heritage. The detection of prehistoric/historic undiscovered constructions on satellite images or aerial photos is a complex and complicated matter. These marks are not visible from the ground, they can, however, be traced on satellite or aerial images, because of the differences in tone and texture. These differences appear as crop, soil and shadow marks. Undoubtedly, the detection of buried structures requires a suitable spatial resolution image, taken under appropriate meteorological conditions and during the best period of the vegetation growing cycle. According to the pertinent literature, detecting covered memorials may be achieved either accidentally or, usually, after a systematic investigation based on historical narratives. The purpose of this study is to determine the factors that facilitate or hinder the detection of buried structures through high spatial resolution satellite imagery. In this study, pan sharpened images from the QuickBird-2 satellite were used, of a spatial resolution of 0.60-0.70 m. This study concerns the detection of marks of the ancient Via Egnatia, from the ancient Amphipolis to Philippi (Eastern Macedonia, Greece). We studied different types of vegetation in the region and their phenological cycle. Taking into account the vegetation phenological cycle of the study area as well as the meteorological data, four pan sharpened QuickBird-2 images of a spatial resolution of 0.60–0.70 m. were used, during four different seasons. By processing the four images, we can determine the one acquired during the most appropriate conditions for the detection of buried structures. The application of this methodology in the study area had positive results, and not only was the main purpose of this study – the detection of parts of the ancient Via Egnatia – achieved, but the locations of dozens of other buried archaeological remains were also determined. |
| first_indexed | 2024-12-14T13:31:36Z |
| format | Article |
| id | doaj.art-d8765c9586894034ae58c2eb0640cd53 |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-12-14T13:31:36Z |
| publishDate | 2012-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-d8765c9586894034ae58c2eb0640cd532022-12-21T22:59:42ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232012-06-0115191810.1016/j.ejrs.2011.12.001Best period for high spatial resolution satellite images for the detection of marks of buried structuresDimitrios Kaimaris0Petros Patias1Maria Tsakiri2School of Urban-Regional Planning and Development Engineering, Aristotle University of Thessaloniki, GreeceSchool of Rural and Surveying Engineering, Department of Cadastre, Photogrammetry and Cartography, Aristotle University of Thessaloniki, GreeceSchool of Rural and Surveying Engineering, Department of Cadastre, Photogrammetry and Cartography, Aristotle University of Thessaloniki, GreeceImprovements in sensor technology in recent decades led to the creation of ground, air and space imaging systems, whose data can be used in archaeological studies. Greece is one of the lucky areas that are rich in archaeological heritage. The detection of prehistoric/historic undiscovered constructions on satellite images or aerial photos is a complex and complicated matter. These marks are not visible from the ground, they can, however, be traced on satellite or aerial images, because of the differences in tone and texture. These differences appear as crop, soil and shadow marks. Undoubtedly, the detection of buried structures requires a suitable spatial resolution image, taken under appropriate meteorological conditions and during the best period of the vegetation growing cycle. According to the pertinent literature, detecting covered memorials may be achieved either accidentally or, usually, after a systematic investigation based on historical narratives. The purpose of this study is to determine the factors that facilitate or hinder the detection of buried structures through high spatial resolution satellite imagery. In this study, pan sharpened images from the QuickBird-2 satellite were used, of a spatial resolution of 0.60-0.70 m. This study concerns the detection of marks of the ancient Via Egnatia, from the ancient Amphipolis to Philippi (Eastern Macedonia, Greece). We studied different types of vegetation in the region and their phenological cycle. Taking into account the vegetation phenological cycle of the study area as well as the meteorological data, four pan sharpened QuickBird-2 images of a spatial resolution of 0.60–0.70 m. were used, during four different seasons. By processing the four images, we can determine the one acquired during the most appropriate conditions for the detection of buried structures. The application of this methodology in the study area had positive results, and not only was the main purpose of this study – the detection of parts of the ancient Via Egnatia – achieved, but the locations of dozens of other buried archaeological remains were also determined.http://www.sciencedirect.com/science/article/pii/S1110982311000366High spatial resolution satellite imageBuried structuresCrop-soil-marksBest meteorological conditionsBest time for data for the detection of buried structures |
| spellingShingle | Dimitrios Kaimaris Petros Patias Maria Tsakiri Best period for high spatial resolution satellite images for the detection of marks of buried structures Egyptian Journal of Remote Sensing and Space Sciences High spatial resolution satellite image Buried structures Crop-soil-marks Best meteorological conditions Best time for data for the detection of buried structures |
| title | Best period for high spatial resolution satellite images for the detection of marks of buried structures |
| title_full | Best period for high spatial resolution satellite images for the detection of marks of buried structures |
| title_fullStr | Best period for high spatial resolution satellite images for the detection of marks of buried structures |
| title_full_unstemmed | Best period for high spatial resolution satellite images for the detection of marks of buried structures |
| title_short | Best period for high spatial resolution satellite images for the detection of marks of buried structures |
| title_sort | best period for high spatial resolution satellite images for the detection of marks of buried structures |
| topic | High spatial resolution satellite image Buried structures Crop-soil-marks Best meteorological conditions Best time for data for the detection of buried structures |
| url | http://www.sciencedirect.com/science/article/pii/S1110982311000366 |
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