Object-based change detection in rapid urbanization regions with remotely sensed observations: a case study of Shenzhen, China

Lihuang He; Guihua Dong; Wei-Min Wang; Lijun Yang; Hong Liang

doi:10.1117/12.2031675

24 October 2013 Object-based change detection in rapid urbanization regions with remotely sensed observations: a case study of Shenzhen, China

Lihuang He, Guihua Dong, Wei-Min Wang, Lijun Yang, Hong Liang

Author Affiliations +

Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 88931W (2013) https://doi.org/10.1117/12.2031675
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

China, the most populous country on Earth, has experienced rapid urbanization which is one of the main causes of many environmental and ecological problems. Therefore, the monitoring of rapid urbanization regions and the environment is of critical importance for their sustainable development. In this study, the object-based classification is employed to detect the change of land cover in Shenzhen, which is located in South China and has been urbanized rapidly in recent three decades. First, four Landsat TM images, which were acquired on 1990, 2000 and 2010, respectively, are selected from the image database. Atmospheric corrections are conducted on these images with improved dark-object subtraction technique and surface meteorological observations. Geometric correction is processed with ground control points derived from topographic maps. Second, a region growing multi-resolution segmentation and a soft nearest neighbour classifier are used to finish object-based classification.

After analyzing the fraction of difference classes over time series, we conclude that the comparison of derived land cover classes with socio-economic statistics demonstrates the strong positive correlation between built-up classes and urban population as well as gross GDP and GDPs in second and tertiary industries. Two different mechanisms of urbanization, namely new land development and redevelopment, are revealed. Consequently, we found that, the districts of Shenzhen were urbanized through different mechanisms.

Citation Download Citation

Lihuang He, Guihua Dong, Wei-Min Wang, Lijun Yang, and Hong Liang "Object-based change detection in rapid urbanization regions with remotely sensed observations: a case study of Shenzhen, China", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931W (24 October 2013); https://doi.org/10.1117/12.2031675

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available