DocumentCode :
3319204
Title :
Analysis of time-series modis 250M vegetation index data for vegetation classifiation in the wenquan area over the qinghai-tibet plateau
Author :
Zhang, Xiumin ; Nan, Zhuotong ; Sheng, Yu ; Zhao, Lin ; Zhou, Guoying ; Yue, Guangyang ; Wu, Jichun
Author_Institution :
Cold & Arid Regions Environ. & Eng. Res. Inst., Chinese Acad. of Sci., Lanzhou, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2059
Lastpage :
2062
Abstract :
A multi-temporal analysis and statistical analysis were applied to examine vegetation index (VI) based vegetation separability based on investigation data from 99 vegetation plots sampled in 2009 and corresponding 10-year timeseries of MODIS EVI and NDVI data of these plots in the Wenquan area, a transition area between permafrost and seasonally frozen soil on the eastern Qinghai-Tibet plateau. The analyses of multi-temporal VI dataset show similar phenological characteristics of all vegetation types during the entire growth season, while they have distinguishable VI values at different periods, namely germination, maturity and senescence periods. Spectral separability between every two vegetation types identified by the Jeffries-Matusita distance statistic is not significant in the growing season, indicating the vegetation classes of this study area not spectrally separable. High intra-class variability of each vegetation type is the primary cause of low separability in different growth periods.
Keywords :
statistical analysis; time series; vegetation; AD 2009; MODIS EVI data; NDVI data; Qinghai-Tibet plateau; Wenquan area; germination; maturity; multitemporal analysis; permafrost; seasonally frozen soil; senescence; statistical analysis; time-series MODIS 250M vegetation index data; vegetation classification; vegetation separability; Classification tree analysis; MODIS; Remote sensing; Spatial resolution; Time series analysis; Vegetation; Vegetation mapping; Spectral analysis; time domain analysis; vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650645
Filename :
5650645
Link To Document :
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