DocumentCode
2467132
Title
Analysis of landscape pattern characteristics in Kunming city
Author
Wang, Penghua ; Zeng, Heping ; Zhou, Dequn
Author_Institution
Fac. of Environ. Sci. & Eng., Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2011
fDate
24-26 June 2011
Firstpage
5705
Lastpage
5708
Abstract
With the aid of an integrated GIS/RS-based approach, authors chose the area within the second ring road of Kunming city, Yunnan province, PR China as study target on the basis of landscape ecology theory and method. Taking remote sensing images of 2000 and 2006 in Kunming city as data source and by means of a quantitative analysis method, the authors analyzed change of landscape pattern of Kunming city in recent years. Using FRAGSTATS software to calculate landscape metrics at the levels of patch, class and landscape, we characterized the landscape structures. The results showed that concentrated distribution of built-up land patches and sparser distribution of bare land as well as bodies of water resulted in separation degree aggravated from 2000 to 2006. The patches of forest land, grassland and bare land appeared cross-distributed. Both the evenness index and richness index of the whole landscape were low in the target area which was a disadvantage for edge effect.
Keywords
ecology; geographic information systems; land use planning; remote sensing; FRAGSTATS software; Kunming city; PR China; Yunnan province; bare land; built-up land patches; evenness index; forest land; grassland; integrated GIS-RS based approach; landscape ecology theory; landscape metrics; landscape pattern characteristics; quantitative analysis method; remote sensing images; richness index; sparser distribution; Cities and towns; Geographic Information Systems; Indexes; Measurement; Remote sensing; Software; Urban planning; Kunming city; landscape metric; landscape pattern;
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.2011.5965648
Filename
5965648
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