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Quantifying spatio-temporal change of urban land cover/use and landscape pattern using BJ-1 and CBERS remote sensing images: A case study of Shanghai
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2010 (English)In: 2010 Dragon 2 Mid Term Results Symposium, 2010Conference paper (Other academic)
Abstract [en]

The overall objective of this research is to investigate the effectiveness of BJ-1 and CBERS remote sensing images for monitoring and modeling the spatial-temporal pattern change in Shanghai city. In this study, a scene of BJ-1 and two scenes of CBERS 01/02 images were used as the data sources. Comparing the accuracy of maximum likelihood classifier (MLC) and support vector machine (SVM) with two different kernel functions, the highest one in each temporal was chosen to analyze the typical ground objects and landscape pattern change. Gradient and direction characteristic analysis were also applied to calculate the degree and direction of urban growth. We selected some human and natural indicators from the Shanghai Statistical Yearbook to analyze the driving force of Shanghai. The results indicated that urbanization in Shanghai tended to be marginalization. And the urban growth has occurred in the NE-E and SE-S direction regions (Pudong New Area and Sanlin Area).

Place, publisher, year, edition, pages
, European Space Agency, (Special Publication) ESA SP, ISSN 03796566 ; 684
National Category
Remote Sensing
URN: urn:nbn:se:kth:diva-89359ScopusID: 2-s2.0-79851502717ISBN: 978-929221248-3OAI: diva2:502933
2010 Dragon 2 Mid Term Results Symposium. Guilin City. 17 May 2010 - 21 May 2010
QC 20120217Available from: 2012-02-14 Created: 2012-02-14 Last updated: 2012-02-17Bibliographically approved

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Ban, Yifang
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Geoinformatics (closed 20110301)
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