Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China

P. Jia; Y. Nie; L. Yang

doi:10.1109/IGARSS.2010.5650602

Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China

P. Jia, Y. Nie, L. Yang

Department of Earth Observation Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Abstract

The 3rd National Cultural Relics General Survey in Hainan Province was started in early 2008. As the advanced technological method, remote sensing was introduced to support the survey because of the inaccessibility of tropical forests. We collected Landsat images, ALOS images and black-and-white aerial photos and corrected them all. Based on the common principle of remote sensing in archaeology, we analyzed two factors: sunshine and nutrient; then we got the special principle in tropical vegetation regions. In the end, we chose Qiongshanjiuzhou, Zhuyaling, Dayapo and Nanjianzhou Ancient City as typical examples to demonstrate the important roles remote sensing played in recognizing the border of ancient city sites and calculated the perimeter and area of each ancient city site.

Original language	English
Title of host publication	Proceedings of The IEEE - 2010 International Geoscience and Remote Sensing Symposium
Publisher	IEEE
Pages	3898-3901
Number of pages	4
ISBN (Electronic)	978-1-4244-9566-5
DOIs	https://doi.org/10.1109/IGARSS.2010.5650602
Publication status	Published - 2010
Event	30st IEEE International Geoscience And Remote Sensing Symposium, IGARSS 2010 - Honolulu, United States Duration: 25 Jul 2010 → 30 Jul 2010 Conference number: 30

Conference

Conference	30st IEEE International Geoscience And Remote Sensing Symposium, IGARSS 2010
Abbreviated title	IGARSS 2010
Country	United States
City	Honolulu
Period	25/07/10 → 30/07/10

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Cite this

Jia, P., Nie, Y., & Yang, L. (2010). Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China. In Proceedings of The IEEE - 2010 International Geoscience and Remote Sensing Symposium (pp. 3898-3901). IEEE. https://doi.org/10.1109/IGARSS.2010.5650602

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abstract = "The 3rd National Cultural Relics General Survey in Hainan Province was started in early 2008. As the advanced technological method, remote sensing was introduced to support the survey because of the inaccessibility of tropical forests. We collected Landsat images, ALOS images and black-and-white aerial photos and corrected them all. Based on the common principle of remote sensing in archaeology, we analyzed two factors: sunshine and nutrient; then we got the special principle in tropical vegetation regions. In the end, we chose Qiongshanjiuzhou, Zhuyaling, Dayapo and Nanjianzhou Ancient City as typical examples to demonstrate the important roles remote sensing played in recognizing the border of ancient city sites and calculated the perimeter and area of each ancient city site.",

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Jia, P, Nie, Y & Yang, L 2010, Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China. in Proceedings of The IEEE - 2010 International Geoscience and Remote Sensing Symposium. IEEE, pp. 3898-3901, 30st IEEE International Geoscience And Remote Sensing Symposium, IGARSS 2010, Honolulu, United States, 25/07/10. https://doi.org/10.1109/IGARSS.2010.5650602

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AB - The 3rd National Cultural Relics General Survey in Hainan Province was started in early 2008. As the advanced technological method, remote sensing was introduced to support the survey because of the inaccessibility of tropical forests. We collected Landsat images, ALOS images and black-and-white aerial photos and corrected them all. Based on the common principle of remote sensing in archaeology, we analyzed two factors: sunshine and nutrient; then we got the special principle in tropical vegetation regions. In the end, we chose Qiongshanjiuzhou, Zhuyaling, Dayapo and Nanjianzhou Ancient City as typical examples to demonstrate the important roles remote sensing played in recognizing the border of ancient city sites and calculated the perimeter and area of each ancient city site.

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Access to Document

10.1109/IGARSS.2010.5650602