The study of landscape stability in Yuli County by principal component analysis method based on RS and GIS technology

Qianfeng Wang; Kefa Zhou; Li Sun; Limou Chen; Yang Ou; Guangyu Li; Yanfang Qin; Jinlin Wang

doi:10.1117/12.887471

4 February 2011 The study of landscape stability in Yuli County by principal component analysis method based on RS and GIS technology

Qianfeng Wang, Kefa Zhou, Li Sun, Limou Chen, Yang Ou, Guangyu Li, Yanfang Qin, Jinlin Wang

Author Affiliations +

Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 77520H (2011) https://doi.org/10.1117/12.887471
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China

Abstract

In order to evaluate quantitatively the landscape stability of arid areas, a study area was selected in Yuli county of the middle and lower reaches of Tarim river. Remote sensing image data are the main data sources, the image data are processed by the support of RS and GIS technology. The study extracted 11 indices of landscape stability by FRAGSTATS software, and the standard matrix of these indices data are got using Z-Score method, then the comprehensive evaluation model of landscape stability is constructed by principal component analysis method. The study results showed that the range of comprehensive evaluation scores of Yuli's ecological landscape stability is 1.736, which indicated there is a great variation in ecological landscape stability of study area. The stability declines as the following order: forest land - water area- grass land- cultivated land - buildup land -unused land. The landscape stability is always the key scientific issues which should be solved urgently, the study on landscape stability has important theoretical and practical significance.

Citation Download Citation

Qianfeng Wang, Kefa Zhou, Li Sun, Limou Chen, Yang Ou, Guangyu Li, Yanfang Qin, and Jinlin Wang "The study of landscape stability in Yuli County by principal component analysis method based on RS and GIS technology", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77520H (4 February 2011); https://doi.org/10.1117/12.887471

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