Research on impervious surface dynamic changes based on Landsat satellite images in Nantong, China

Xiu Lu; Jia Li; Ping Duan; Jinliang Wang; Chi Zhang

doi:10.1117/12.2244958

25 October 2016 Research on impervious surface dynamic changes based on Landsat satellite images in Nantong, China

Xiu Lu, Jia Li, Ping Duan, Jinliang Wang, Chi Zhang

Proceedings Volume 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology; 101560K (2016) https://doi.org/10.1117/12.2244958
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

In this paper, the decision tree classification based on the CART algorithm (Classification and Regression Tree) is used to extract the impervious surface area of Nantong city in Jiangsu Province in China. Impervious surface dynamic change nearly 25 years in Nantong city is researched using four periods Landsat images of 1990, 2003, 2008, and 2014. The results show that the classification precision based on the CART algorithm is higher, which can more accurately extract the impervious surface. During the 25 years, the trend of the impervious surface of Nantong is increased year by year. Urban construction and expansion is one of the driving forces of the impervious surface increase.

Citation Download Citation

Xiu Lu, Jia Li, Ping Duan, Jinliang Wang, and Chi Zhang "Research on impervious surface dynamic changes based on Landsat satellite images in Nantong, China", Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101560K (25 October 2016); https://doi.org/10.1117/12.2244958

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