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《Acta Scientiarum Naturalium Universitatis Pekinensis》 2011-05
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Identification and Application of Seasonality Parameters of Crop Growing Season in Northeast China Based on NDVI Time Series Data

LI Zhengguo1,2,TANG Huajun1,2,YANG Peng1,2,,ZHOU Qingbo1,2,WANG Yanglin3,WU Wengbin1,2,YIN He3,ZHANG Li1,2 1.Key Laboratory of Resources Remote Sensing and Digital Agriculture(MOA),Beijing 100081;2.Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081;3.College of Urban and Environmental Sciences,Peking University,Beijing 100871  
The authors investigated spatio-temporal patterns of seasonality parameters of crop growing season in Northeast China,by using the SPOT/VGT NDVI ten day composed time-series data collected from 1998 to 2009.First,to minimize the effects of anomalous values caused by atmospheric haze and cloud contamination,the software TIMESAT was used to generate smooth time series of NDVI based on an asymmetric Gaussian function;second,the seasonality parameters,such as the start date,the end date,the peak date,and length of the growing season,were defined and extracted from the smoothed NVDI time-series dataset;third,each of the extracted parameters and the observed agricultural phenophases(including the stages of seedling,heading and maturity for harvest,length of growth period) were compared and validated by using a scatter plot,respectively;finally,the temporal trends and spatial patterns of the major crop seasonality parameters in Northeast China were illustrated and analyzed over the past 10 years.The results show that the growth process of major crops can be discriminated to a certain extent from the temporal trend of observed crop phenological characteristics.Obvious linear correlations can be found between the extracted seasonality parameters and the observed crop phenophases,which indicates that spatio-temporal variations of crop phenophase can be expressed in details by utilizing the extracted parameters from the smoothed NDVI time series.Meanwhile,all these grid-based crop phenophases can be used as data alternative for studying the spatio-temporal responses of crop growth process caused from fluctuation in external environmental conditions,such as air temperature,precipitation and daylight hours,etc.
【Fund】: 国家重点基础研究发展计划(2010CB951502);; 国家自然科学基金(40930101 40971218)资助
【CateGory Index】: Q948
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