29 December 2000 Analysis of vegetation green wave change in China using NOAA AVHRR data sets
Author Affiliations +
Proceedings Volume 4203, Biological Quality and Precision Agriculture II; (2000) https://doi.org/10.1117/12.411749
Event: Environmental and Industrial Sensing, 2000, Boston, MA, United States
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changyao Wang, Changyao Wang, Qingyuan Zhang, Qingyuan Zhang, Zheng Niu, Zheng Niu, Xiuwang Cheng, Xiuwang Cheng, } "Analysis of vegetation green wave change in China using NOAA AVHRR data sets", Proc. SPIE 4203, Biological Quality and Precision Agriculture II, (29 December 2000); doi: 10.1117/12.411749; https://doi.org/10.1117/12.411749
PROCEEDINGS
6 PAGES


SHARE
Back to Top