DocumentCode :
2322090
Title :
Study on the effects of Grand Canal on city pattern change of Hangzhou based on Remote Sensing
Author :
Zhu, Chunhua ; Nie, Yueping
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
6
Abstract :
In the past thousands of years, the Grand Canal not only promoted political, economic and cultural development in China, but also formed the pattern of cities which lie along the canal called ldquoCanal Citiesrdquo. To comprehend the relationship between the city and the canal can benefit the urban planning and development. Remote Sensing and Geographical Information System technology enable us to analyze the spatio-temporal change effectively. In this study, we employ aero photographs taken in 1955 and SPOT5 images taken in 2002 as data resources. We integrates Wallis filter, visual and object-oriented interpretation, and buffer analysis. Proper models and indices were adopted for presenting the concrete city pattern change characteristics in both temporal and spatial scale. The results show that there is strong correlation between the canal and the city, and that the city development was guided by the Grand Canal. The information is necessary for the urban planning, management and policy-making, and can be used for reference by other ldquoCanal Citiesrdquo.
Keywords :
geographic information systems; geophysics computing; image classification; image registration; remote sensing; AD 1955; AD 2002; China; Geographical Information System technology; Grand Canal Cities; Hangzhou; SPOT5 images; Wallis filter; aero photographs; buffer analysis; concrete city pattern change characteristics; data resources; image classification; image registration; object-oriented interpretation; remote sensing; spatio-temporal change; urban development; urban management; urban planning; visual interpretation; Cities and towns; Concrete; Cultural differences; Filters; Information analysis; Information systems; Irrigation; Object oriented modeling; Remote sensing; Urban planning;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/URS.2009.5137675
Filename :
5137675
Link To Document :
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