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

Author

Jia, Peng ; Nie, Yueping ; Yang, Lin

Author_Institution

Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China

fYear

2010

fDate

25-30 July 2010

Firstpage

3898

Lastpage

3901

Abstract

The 3^rd 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.

Keywords

archaeology; forestry; image recognition; remote sensing; vegetation; 3rd National Cultural Relics General Survey; ALOS images; China; Dayapo; Hainan Province; Landsat images; Nanjianzhou; Qiongshanjiuzhou; Zhuyaling; ancient site extraction; ancient site recognition; archaeology; black-and-white aerial photos; remote sensing; thick vegetation; tropical forests; tropical vegetation regions; Cities and towns; Cultural differences; Geographic Information Systems; History; Remote sensing; Software algorithms; Vegetation mapping; Ancient City Site; Hainan; Remote Sensing in Archaeology; Thick Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5650602

Filename

5650602