Characterizing Spatial Patterns of Phenology in Cropland of China Based on Remotely Sensed Data

作     者：WU Wen-bin YANG Peng TANG Hua-jun ZHOU Qing-bo CHEN Zhong-xin Ryosuke Shibasaki 

作者机构：Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences/Key Laboratory of Resources Remote Sensing and Digital Agriculture Ministry of Agriculture Beijing 100081 P.R.China Center for Spatial Information Science University of Tokyo Tokyo 153-8505 Japan 

出 版 物：《Agricultural Sciences in China》 (中国农业科学（英文版）)

年 卷 期：2010年第9卷第1期

页      面：101-112页

核心收录：

学科分类：070903[理学-古生物学与地层学(含：古人类学)] 0709[理学-地质学] 07[理学] 09[农学] 0901[农学-作物学] 090102[农学-作物遗传育种] 

基　　金：supported by the National Natural Science Foundation of China (40930101,40971218) the 948 Program,Ministry of Agriculture of China (2009-Z31) the Foundation for National Non-Profit Scientific Institution,Ministry of Finance of China (IARRP-2010-2) 

主　　题：phenology NDVI time-series cropping systems the starting date of growing season (SGS) the ending date of growing season (EGS) spatial pattern 

摘      要：This study used time-series of global inventory modeling and mapping studies （GIMMS） normalized difference vegetation index （NDVI） datasets at a spatial resolution of 8 km and 15-d interval to investigate the spatial patterns of cropland phenology in China. A smoothing algorithm based on an asymmetric Gaussian function was first performed on NDVI dataset to minimize the effects of anomalous values caused by atmospheric haze and cloud contamination. Subsequent processing for identifying cropping systems and extracting phenological parameters, the starting date of growing season （SGS） and the ending date of growing season （EGS） was based on the smoothed NVDI time-series data. The results showed that the cropping systems in China became complex as moving from north to south of China. Under these cropping systems, the SGS and EGS for the first growing season varied largely over space, and those regions with multiple cropping systems generally presented a significant advanced SGS and EGS than the regions with single cropping patterns. On the contrary, the phenological events of the second growing season including both the SGS and EGS showed little difference between regions. The spatial patterns of cropping systems and phenology in Chinese cropland were highly related to the geophysical environmental factors. Several anthropogenic factors, such as crop variety, cultivation levels, irrigation, and fertilizers, could profoundly influence crop phenological status. How to discriminate the impacts of biophysical forces and anthropogenic drivers on phenological events of cultivation remains a great challenge for further studies.