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Remote Sensing Technology and Application  2016, Vol. 31 Issue (5): 1003-1012    DOI: 10.11873/j.issn.1004-0323.2016.5.1003
Spatio-temporal Difference of Crops and Natural Vegetation Phenology in China at the Beginning of the 21st Century
Feng Min1,Li Zaiming2,Qiu Bingwen1,Wang Chongyang3,4,Luo Yuhan1
(1.National Engineering Research Centre of Geospatial Information Technology,
Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350002,China;
2.Agricultural Development Bureau of Yunxi Area,Yueyang 414009,China;
3.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;
4.University of Chinese Academy of Sciences,Beijing 100049,China)
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A smoothing algorithm based on discrete wavelet was firstly applied to the MODIS EVI time\|series data from 2001 to 2012 to minimize the effects of anomalous values caused by atmospheric haze and cloud contamination,based on dynamic threshold method to extract vegetation phenology information of China,study the spatio\|temporal variation characteristics of crops and natural vegetation phenology,The results indicate:①In the first season of crops,start date,peak date and end date mainly with altitude rise delayed centred on north China Natural vegetation phenology advance than crops about 20 days,As the rise of the altitude to delay first,and then in advance;②In temporal,Phenological have significant changes area of the first quarter,43.98% of start date,52.83% of peak date have trends in advance,Mainly in southwest,the junction of the northeast and Inner Mongolia,where the start date later and end date early.The rest of the region,start date,peak date and 81.80% of end date showed a trend of delay,Mainly in Loess Plateau and double season crop area;Crop phenological delay rate is less than natural vegetation.


Key words:  Vegetation phenology      MODIS EVI      Wavelet analysis      Dynamic threshold method      Spatio-temporal variation     
Received:  12 October 2015      Published:  25 November 2016
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Feng Min
Li Zaiming
Qiu Bingwen
Wang Chongyang
Luo Yuhan

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Feng Min,Li Zaiming,Qiu Bingwen,Wang Chongyang,Luo Yuhan. Spatio-temporal Difference of Crops and Natural Vegetation Phenology in China at the Beginning of the 21st Century. Remote Sensing Technology and Application, 2016, 31(5): 1003-1012.

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