TY - GEN
T1 - Changes in vegetation phenology in response to climate changes in Northern hemisphere between 1982 and 2006
AU - Liu, Ling Ling
AU - Liu, Liang Yun
PY - 2009
Y1 - 2009
N2 - The research on response and adaptability of vegetation ecosystem to global changes is the scientific frontier of today's global change and ecological researches. While remote sensing phenology is still in development, it is regarded as a key indictor to understanding land-surface processes over large area. In this paper, the Northern Eurasia region is used as study regions. Based on GIMSS AVHRR NDVI composite image data, the key parameters of vegetation phenology, such as start of season (SOS), end of season(EOS), duration of season (DOS) and peak of season (POS) were extracted. The vegetation's response to climate change in different regions was analyzed by using these phenological parameters. Firstly, GIMMS AVHRR NDVI time series images from 1982 to 2006 were smoothed with Hants filter algorithm. Based on the dynamic threshold analysis method, SOS, EOS, DOS and POS were estimated. Secondly, Trends of phenology metrics were derived for each pixel from 1982 to 2006 by calculating the slope of the temporal variation of these phenology metrics in these years. The spatial and temporal variations of vegetation phenology in different regions were analyzed. The results show that: earlier SOS and later EOS are largely spatially distributed in the Northern Hemisphere, which confirm the global warming trend in the Northern Eurasia region. The most significant trend is a longitudinal band of later EOS extending from west Europe to east Russian. The DOS metric variation image shows also a high significant prolongation trend in high latitude areas in the Northern Eurasia region, as well as EOS. A trend toward earlier POS was apparent both regions of Spain, France, Turkey and the southeastern regions of Kazakhstan and North China. No significant trends, including SOS, EOS, DOS and POS, are observed in the Tibetan Plateau.
AB - The research on response and adaptability of vegetation ecosystem to global changes is the scientific frontier of today's global change and ecological researches. While remote sensing phenology is still in development, it is regarded as a key indictor to understanding land-surface processes over large area. In this paper, the Northern Eurasia region is used as study regions. Based on GIMSS AVHRR NDVI composite image data, the key parameters of vegetation phenology, such as start of season (SOS), end of season(EOS), duration of season (DOS) and peak of season (POS) were extracted. The vegetation's response to climate change in different regions was analyzed by using these phenological parameters. Firstly, GIMMS AVHRR NDVI time series images from 1982 to 2006 were smoothed with Hants filter algorithm. Based on the dynamic threshold analysis method, SOS, EOS, DOS and POS were estimated. Secondly, Trends of phenology metrics were derived for each pixel from 1982 to 2006 by calculating the slope of the temporal variation of these phenology metrics in these years. The spatial and temporal variations of vegetation phenology in different regions were analyzed. The results show that: earlier SOS and later EOS are largely spatially distributed in the Northern Hemisphere, which confirm the global warming trend in the Northern Eurasia region. The most significant trend is a longitudinal band of later EOS extending from west Europe to east Russian. The DOS metric variation image shows also a high significant prolongation trend in high latitude areas in the Northern Eurasia region, as well as EOS. A trend toward earlier POS was apparent both regions of Spain, France, Turkey and the southeastern regions of Kazakhstan and North China. No significant trends, including SOS, EOS, DOS and POS, are observed in the Tibetan Plateau.
KW - Global change
KW - NDVI
KW - Phenology
KW - Remote sensing
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M3 - Conference contribution
AN - SCOPUS:84866071678
SN - 9781615679843
T3 - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
SP - 1073
EP - 1078
BT - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
T2 - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
Y2 - 18 October 2009 through 23 October 2009
ER -