Study on land use/land cover change in Jintai and Weibing districts of Baoji city in Western China based on remote sensing technology and Markov method

Zhongyang Guo; Xiaoyan Dai; Jian-ping Wu

doi:10.1117/1.3159400

1 June 2009 Study on land use/land cover change in Jintai and Weibing districts of Baoji city in Western China based on remote sensing technology and Markov method

Zhongyang Guo, Xiaoyan Dai, Jian-ping Wu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 3, Issue 1, 033534 (June 2009). https://doi.org/10.1117/1.3159400

Abstract

The research on land use / land cover change (LUCC) can provide an important means to understand the relationship between ecological environmental change and human being's activity. The study area, in this paper, Jintai District and Weibin District, is the suburban area of Baoji City, which is located at the frontier of Western Development in China. To explore the typical pattern of land cover change in western China, the LUCC of the study area from 1988 to 2004 is analyzed, using remote sensing technology. Based on these, Markov model is applied to predict the tendency of the LUCC of this area in the next 16 years, and the results indicate that human being's activity, especially in the western cities, will have an increasingly great influence on the regional ecological environment in the current pattern of land use. Faced with the contradiction between land and people and severe ecological environment, establishing land use regulation indices and spatial optimal designs favorable to ecological environment by setting up general land use planning scientifically is important to satisfy reasonable demand of land with economic development and accelerated urbanization and improve ecological environment in western cities in China.

Citation Download Citation

Zhongyang Guo, Xiaoyan Dai, and Jian-ping Wu "Study on land use/land cover change in Jintai and Weibing districts of Baoji city in Western China based on remote sensing technology and Markov method," Journal of Applied Remote Sensing 3(1), 033534 (1 June 2009). https://doi.org/10.1117/1.3159400

Published: 1 June 2009

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