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

Lan Zheng; Deying Zhang; Yunyun Zhou; Xuanyi Zhang; Runhe Shi; Maosi Chen

doi:10.1117/12.2320466

18 September 2018 Simulation of land use/cover change in Shanghai based on SLEUTH model

Lan Zheng, Deying Zhang, Yunyun Zhou, Xuanyi Zhang, Runhe Shi, Maosi Chen

Proceedings Volume 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV; 107670S (2018) https://doi.org/10.1117/12.2320466
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

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.

Citation Download Citation

Lan Zheng, Deying Zhang, Yunyun Zhou, Xuanyi Zhang, Runhe Shi, and Maosi Chen "Simulation of land use/cover change in Shanghai based on SLEUTH model", Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 107670S (18 September 2018); https://doi.org/10.1117/12.2320466

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Calibration

Monte Carlo methods

Data modeling

Roads

Climatology

Diffusion

Information science

Show All Keywords

Keywords/Phrases

Search In:

Publication Years