DocumentCode
2452091
Title
Analysis of the landscape pattern in eastern edge of Pearl River Delta based on the Object-oriented classification method: A case study of Huicheng District, Huizhou City
Author
Zhang, Xiaolin ; Chen, Jianfei
Author_Institution
Sch. of Geogr. Sci., Guangzhou Univ., Guangzhou, China
fYear
2011
fDate
24-26 June 2011
Firstpage
2912
Lastpage
2915
Abstract
Based on SPOT5 remote sensing image in 2008, the landuse landscape map of Huicheng Destrict was made by manual and Object-oriented Classification interpretations with ENVI and ArcGIS software. Through the calculation of landscape metrics, the formation of landuse landscape pattern in Huicheng, which as a case of outer area of Pearl River Delta, was analyzed quantitatively. The results indicated that connectivity of the landuse landscape pattern was stronger; diversity and evenness indices both were higher. Due to the human impacts, however, the landscape shape was more complicated and the stability was not good enough; the fragmentation degree differed greatly in every landuse types. In order to improve stability and adaptability of the landscape and realize the sustainable use of land resources, some countermeasures were put forward as the following: constructing the landscape pattern of the sustainable agriculture, using the planning measures, adjusting the vegetation structure, taking advantage of the tourism resource, and so on.
Keywords
geographic information systems; geophysics computing; land use planning; object-oriented methods; vegetation; ArcGIS software; ENVI software; Huicheng District; Pearl River Delta; SPOT5 remote sensing image; eastern edge; human impact; landuse landscape map; landuse landscape pattern; object-oriented classification method; sustainable agriculture; tourism resource; vegetation structure; Business; Cities and towns; Indexes; Measurement; Remote sensing; Rivers; Shape; Huicheng District; Landscape metrics; Landscape pattern; Object-oriented classification; SPOT5 images;
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.2011.5964923
Filename
5964923
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