VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China)
This study mainly focuses on revealing an ancient water landscape at the Longcheng site in the northern Chaohu Lake Basin using very high-resolution (VHR) GeoEye-1 imagery. First, prior to classification, the GeoEye-1 image was processed following atmospheric and geometric correction. The supervised...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-02-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2016.1214983 |
| _version_ | 1797678609816616960 |
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| author | Lei Luo Xinyuan Wang Jie Liu Huadong Guo Xin Zong Wei Ji Hui Cao |
| author_facet | Lei Luo Xinyuan Wang Jie Liu Huadong Guo Xin Zong Wei Ji Hui Cao |
| author_sort | Lei Luo |
| collection | DOAJ |
| description | This study mainly focuses on revealing an ancient water landscape at the Longcheng site in the northern Chaohu Lake Basin using very high-resolution (VHR) GeoEye-1 imagery. First, prior to classification, the GeoEye-1 image was processed following atmospheric and geometric correction. The supervised classification was carried out in order to show the land-cover situation in the Longcheng area. The overall classification accuracy was 89.98%, with a kappa coefficient of 0.87. The moat system around the city walls was discovered by using rule-based object-oriented segmentation of the postclassified image, and the other walls of ancient Longcheng were manually identified from the pansharpened VHR GeoEye-1 image. Finally, a map of the ancient water landscape containing the ancient city, wall and moat at the Longcheng site was produced. This paper demonstrates that VHR remote sensing has the ability to uncover an ancient water landscape and provide new insights for archaeological and paleoenvironmental studies. |
| first_indexed | 2024-03-11T23:02:24Z |
| format | Article |
| id | doaj.art-3c7f2f58b3794050bf3defb80192ae44 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:02:24Z |
| publishDate | 2017-02-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-3c7f2f58b3794050bf3defb80192ae442023-09-21T14:38:05ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552017-02-0110213915410.1080/17538947.2016.12149831214983VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China)Lei Luo0Xinyuan Wang1Jie Liu2Huadong Guo3Xin Zong4Wei Ji5Hui Cao6Institute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, Chinese Academy of SciencesInstitute of Remote Sensing and Digital Earth, University of Chinese Academy of SciencesThis study mainly focuses on revealing an ancient water landscape at the Longcheng site in the northern Chaohu Lake Basin using very high-resolution (VHR) GeoEye-1 imagery. First, prior to classification, the GeoEye-1 image was processed following atmospheric and geometric correction. The supervised classification was carried out in order to show the land-cover situation in the Longcheng area. The overall classification accuracy was 89.98%, with a kappa coefficient of 0.87. The moat system around the city walls was discovered by using rule-based object-oriented segmentation of the postclassified image, and the other walls of ancient Longcheng were manually identified from the pansharpened VHR GeoEye-1 image. Finally, a map of the ancient water landscape containing the ancient city, wall and moat at the Longcheng site was produced. This paper demonstrates that VHR remote sensing has the ability to uncover an ancient water landscape and provide new insights for archaeological and paleoenvironmental studies.http://dx.doi.org/10.1080/17538947.2016.1214983vhr remote sensingarchaeologicalclassificationsegmentationgeoeye-1longcheng |
| spellingShingle | Lei Luo Xinyuan Wang Jie Liu Huadong Guo Xin Zong Wei Ji Hui Cao VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China) International Journal of Digital Earth vhr remote sensing archaeological classification segmentation geoeye-1 longcheng |
| title | VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China) |
| title_full | VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China) |
| title_fullStr | VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China) |
| title_full_unstemmed | VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China) |
| title_short | VHR GeoEye-1 imagery reveals an ancient water landscape at the Longcheng site, northern Chaohu Lake Basin (China) |
| title_sort | vhr geoeye 1 imagery reveals an ancient water landscape at the longcheng site northern chaohu lake basin china |
| topic | vhr remote sensing archaeological classification segmentation geoeye-1 longcheng |
| url | http://dx.doi.org/10.1080/17538947.2016.1214983 |
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