DocumentCode
3021087
Title
Study on urban green landscape pattern based on high resolution remote sensing image
Author
Ye Lizao ; Li Hu ; He Guangjun ; Niu Ting ; Chen Donghua
Author_Institution
Sch. of Geogr. Sci., Fujian Normal Univ., Fuzhou, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
703
Lastpage
706
Abstract
To analyze the number of green landscape patches, their constitutive characteristic and spatial distribution in Karamay, this paper first conducted an extraction of green space information from 2012 QuickBird image of the city by means of combining object-oriented method, NDVI index and texture information together, followed by further division of the green space into six types. Finally, the method of spectrum analysis of landscape patches is applied. The result shows that, in 2012, the area of urban green space of Karamay city is 978.22ha, green space coverage is approximately 38.24%. Residential green space holds a dominant advantage over other types. Inferior are protective and attached green space. Road green space is large in patch numbers but small in the area while park green space is small in both patch numbers and the area. These conclusions can further assist urban green space management and planning in decision-making and provide data support for the analysis of water supply and demand of the city as well.
Keywords
geophysical image processing; geophysical techniques; pattern recognition; remote sensing; vegetation; AD 2012; Karamay city; NDVI index; QuickBird image; green landscape patches; green space division; green space information; high resolution remote sensing image; object-oriented method; road green space; texture information; urban green landscape pattern; urban green space management; urban green space planning; water supply analysis; Cities and towns; Data mining; Feature extraction; Green products; Remote sensing; Roads; Vegetation mapping; Karamay; NDVI; high resolution; landscape pattern; urban green space;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885152
Filename
6885152
Link To Document