Share Email Print

Proceedings Paper

Analysis of vegetation green wave change in China using NOAA AVHRR data sets
Author(s): Changyao Wang; Qingyuan Zhang; Zheng Niu; Xiuwang Cheng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper provides a preliminary overview of vegetation cover change analysis using a time series remote sensing data in China. A series of 12 monthly average NDVI data, which is derived from NOAA AVHRR data (January 1990 - December 1990), is used in this study. The research result shows that the vegetation cover change is different along the longitude and latitude during the year. Along the same longitude, vegetation index change is closely corresponded to the seasonal change law. The higher the latitude is, the greater the scope of seasonal change. In summer, there is no clear difference in vegetation index between southern and northern region, but in winter this different is much clear. Along the same latitude the vegetation index change is closely related to precipitation change during the year. The result of greenness classification for each monthly NDVI image also shows that in summer, the high greenness classes occupy most area of China; in opposite, lower greenness classes occupy most of territory of China in winter.

Paper Details

Date Published: 29 December 2000
PDF: 6 pages
Proc. SPIE 4203, Biological Quality and Precision Agriculture II, (29 December 2000); doi: 10.1117/12.411749
Show Author Affiliations
Changyao Wang, Institute of Remote Sensing Applications (China)
Qingyuan Zhang, Institute of Remote Sensing Applications (Japan)
Zheng Niu, Institute of Remote Sensing Applications (China)
Xiuwang Cheng, Peking Univ. (China)

Published in SPIE Proceedings Vol. 4203:
Biological Quality and Precision Agriculture II
James A. DeShazer; George E. Meyer, Editor(s)

© SPIE. Terms of Use
Back to Top