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

4 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/Territory	United States
City	Honolulu
Period	25/07/10 → 30/07/10

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10.1109/IGARSS.2010.5650602

Cite this

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title = "Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China",

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.",

author = "P. Jia and Y. Nie and L. Yang",

year = "2010",

doi = "10.1109/IGARSS.2010.5650602",

language = "English",

pages = "3898--3901",

booktitle = "Proceedings of The IEEE - 2010 International Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

address = "United States",

note = "30st IEEE International Geoscience And Remote Sensing Symposium, IGARSS 2010, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",

}

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, Hawaii, United States, 25/07/10. https://doi.org/10.1109/IGARSS.2010.5650602

TY - GEN

T1 - Recognition and extraction of the ancient sites covered by thick vegetation in Hainan Province of China

AU - Jia, P.

AU - Nie, Y.

AU - Yang, L.

N1 - Conference code: 30

PY - 2010

Y1 - 2010

N2 - 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.

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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BT - Proceedings of The IEEE - 2010 International Geoscience and Remote Sensing Symposium

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ER -

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

Abstract

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UN SDGs

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