DocumentCode
2452187
Title
Analyzing the changes of landscape pattern in the coastal zone based on GIS and RS: A case study of Nantong, China
Author
Su, Panpan ; Guo, Zhongyang ; Xie, Minzhen ; Ye, Shufeng ; Wang, Dan
Author_Institution
Key Lab. of Geographic Inf. Sci., East China Normal Univ., Shanghai, China
fYear
2011
fDate
24-26 June 2011
Firstpage
2932
Lastpage
2936
Abstract
Through the study of dramatic landscape pattern changes in the coastal zone of Nantong, China in 2003, 2005 and 2008, the influence of urbanization on natural landscape were reproduced using ARC/INFO software. Firstly we divided the remote sensing data into six categories, and then calculated varieties of landscape pattern indices according to Fragtats 3.3 software, we also counted spatial landscape pattern character to analyze the coastal zone in Nantong. The results show that Shennon´s diversity index keeps growing annually, and Shennon´s evenness index increases in the beginning and decreases in the later time from 2003 to 2008,The dominant types of landscape are sea and construction land. In addition, wetland´s area becomes larger year by year and its connectivity is excellent. In general, the artificial disturbance affects the landscape pattern in coastal zone of Nantong greatly, which leads to floating changes of inter-annual landscape type and index.
Keywords
geographic information systems; remote sensing; ARC/INFO software; Fragtats 3.3 software; GIS; RS; Shennon´s diversity index; Shennon´s evenness index; coastal zone; natural landscape; remote sensing data; spatial landscape pattern; urbanization; Artificial intelligence; Environmental factors; Geographic Information Systems; Indexes; Remote sensing; Sea measurements; Software; coastal zone; landscape index; landscape pattern; patches;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5964928
Filename
5964928
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