The Vegetation NDVI Variation Trend in Qinghai-Tibet Plateau and Its Response to Climate Change

Author

Wang, Ge ; Han, Lin

Author_Institution

Inst. of Plateau Meteorol., CMA, Chengdu, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

4

Abstract

Based on 1999-2008 meteorological data and SPOT VEGETATION NDVI data, the linear correlation analysis method was used to analyze the temporal and spatial variation rules of vegetation cover in Qinghai-Tibet Plateau. The results showed that: from 1999 to 2008, the average annual temperature in Qinghai-Tibet Plateau was increased, while the average annual precipitation was decreased; the annual NDVI showed a significant increasing trend, which was caused by the increase of grassland vegetation NDVI; the average NDVI of spring, summer and autumn showed a rising trend, and the extension of vegetation growth season in Qinghai-Tibet Plateau was far less obvious than the vegetation activities in the growth season ahead and peak growth season. Based on the analysis, we found the ecological environment of the Qinghai-Tibet Plateau developed towards the favorable direction under the impact of climate change.

Keywords

atmospheric precipitation; atmospheric temperature; climatology; correlation theory; ecology; vegetation; vegetation mapping; AD 1999 to 2008; China; Qinghai-Tibet Plateau; SPOT vegetation NDVI data; average annual precipitation analysis; average annual temperature analysis; climate change response; ecological environment; grassland vegetation; linear correlation analysis method; spatial variation rules; temporal variation rules; vegetation NDVI variation; vegetation cover; vegetation growth season; Correlation; Meteorology; Remote sensing; Springs; Temperature distribution; Vegetation; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0872-4

Type

conf

DOI

10.1109/RSETE.2012.6260792

Filename

6260792