The vegetation cover changes of regress analysis on using time-serial images of remote sensing

Qingdong Shi; Guanghui Lv; Jiagou Qi; Hamid Yimit

doi:10.1117/12.680303

27 September 2006 The vegetation cover changes of regress analysis on using time-serial images of remote sensing

Qingdong Shi, Guanghui Lv, Jiagou Qi, Hamid Yimit

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 62981D (2006) https://doi.org/10.1117/12.680303
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

There are many means to monitor the Land Use and Land Cover Change (LUCC) in time. Phase difference Image, is one of these means that is often used. By using gaps images to analyze the changes, errors in result images happen easily by accident. Another disadvantage of Phase difference Image is not adequately using the time-serial images. The pixel at the same position in time-serial images will structure a sequence change of points, this sequence include information of LUCC, and it is important to describe the change process of those points for understanding the change of Land Cover. In this paper, we use Fractional Vegetation Cover (FVC) images that were derived from NOAA/AVHRR time series data from 1982 to 2000 and time (year) is the independent variable. Every pixel is an attributive variable, using the regress method to analyze the change of vegetaion cover in Westen China. Meanwhile, we discuss the results and significance of the F-test and t-test for this regression. Through the above work: 1) the result of the regression method for time series data is more stabilizing than Phase Difference Image; 2) Regression method can be used to forecast the change of vegetation and Phase difference image can not; 3) By the regression image, we can find that the increase of vegetation cover is close relationship with old oasis, and that human activities is obviously one of the most important factors contributing to the change of vegetation cover in the arid lands in Westen China. In Qaidam High Basin, there are few signs of human habitation, the vegetation cover decreased, indicating the environment has degraded in this area.

Citation Download Citation

Qingdong Shi, Guanghui Lv, Jiagou Qi, and Hamid Yimit "The vegetation cover changes of regress analysis on using time-serial images of remote sensing", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981D (27 September 2006); https://doi.org/10.1117/12.680303

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Vegetation

Remote sensing

Analytical research

Image analysis

Error analysis

Image processing

Turbulence

Show All Keywords

Keywords/Phrases

Search In:

Publication Years