Title :
Extracting impervious surface distribution and changing information of Shenyang
Author :
Yang, Lv ; Lin, Sun ; Tang Hong-Mei
Author_Institution :
Geomatics Coll., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
The impervious surface mainly refers to these land cover types, such as asphalt, concrete and the materials of roof, which are the most important components of the land cover and land use of city. With the impervious surface area increasing, the extent of green space, wetlands and water bodies are reducing gradually, the urban environment changes and ecosystem worsens.The city zone of Shenyang was taken as an example for the study. Remotely-sensed data were the data source, respectively from Landsat5 TM images acquired in 2001 and 2007. Urban impervious surface distribution and the changing information from 2001 to 2007 were study regions. Based on the V-I-S model, end-members were selected according to the integration of the scatter plots after the maximum noise fraction (MNF) transformation and the result of pixel purity index (PPI).Spectral mixture analysis (SMA) was utilized for calculating impervious surface distribution within a pixel and acquiring the information of changes. Then, the characteristic of the development of Shenyang during urbanization process can be concluded.The result of analysis demonstrate that the area of imperious surface in Shenyang grow mostly at Yuhong in the west and Dongling in the east from 2001 to 2007.
Keywords :
moisture; remote sensing; vegetation; AD 2001 to 2007; China; Dongling; Landsat5 TM images; Shenyang; V-I-S model; Yuhong; asphalt; concrete; data source; green space; impervious surface distribution; land cover types; land use; maximum noise fraction transformation; pixel purity index; remotely-sensed data; roof materials; spectral mixture analysis; urban environment changes; urbanization process; water bodies; wetlands water; Asphalt; Building materials; Cities and towns; Concrete; Data mining; Ecosystems; Land surface; Remote sensing; Satellites; Scattering;
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
DOI :
10.1109/URS.2009.5137599