Simulation of land use / cover change in Shanghai based on SLEUTH model

被引:3
作者
Zheng, Lan [1 ,2 ,3 ,4 ]
Zhang, Deying [1 ,2 ,3 ,4 ]
Zhou, Yunyun [1 ,2 ,3 ,4 ]
Zhang, Xuanyi [1 ,2 ,3 ,4 ]
Shi, Runhe [1 ,2 ,3 ,4 ]
Chen, Maosi [5 ]
机构
[1] East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China
[2] East China Normal Univ, Joint Lab Environm Remote Sensing & Data Assimila, Shanghai 200241, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Shanghai 200241, Peoples R China
[4] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
[5] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
来源
REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XV | 2018年 / 10767卷
关键词
SLEUTH; Shanghai; LUCC; urbanization; URBAN-GROWTH; PREDICTION;
D O I
10.1117/12.2320466
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
With the rapid development of urbanization, the dynamic evolution of urban expansion has become one of the hot topics throughout the world. Thus, modeling and predicting the urban expansion in the future is one of the effective methods for the study of urban growth. Based on the rapid urbanization in Shanghai, our study uses four years of land use data (1995, 2000, 2005 and 2010), DEM and two years of traffic roads data (2005 and 2010) to obtain the optimal parameters of urban growth through model calibration. And the results of calibration were used to simulate and predict the land use change in 2040 under different scenarios of excluded layers. The results show that the urban growth in Shanghai is more often grow along the edge of existing urban centers and the transportation network with the relatively high spread coefficient (43) and road coefficient (66), while the dispersion, breed and slope coefficient are relatively low. The SLEUTH simulation with these five parameters possessed satisfactory capability of predicting land use changes with the kappa coefficient of 0.8628 and an appropriate Lee-Sallee index of 0.8139. The result shows that the urban areas in Shanghai increase significantly in 2040, while the rural area, grass and other construction area are decreased. Therefore, SLEUTH can better predict the spatial changes of land use and provide some theoretical support and decision-making basis for the urban-rural planning in Shanghai.
引用
收藏
页数:9
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