Spatial and temporal distribution of multiple cropping indices in the North China plain using a long remote sensing data time series

	Spatial and temporal distribution of multiple cropping indices in the North China plain using a long remote sensing data time series
	Zhao, Yan 1; Bai, Linyan 1; Feng, Jianzhong 1; Lin, Xiaosong 1; Wang, Li 1; Xu, Lijun 1; Ran, Qiyun 1; Wang, Kui 1
刊名	Sensors (Switzerland)
	2016
卷号	16 期号:4
关键词	MARS EXPLORATION ROVERS SIMULTANEOUS LOCALIZATION VISUAL ODOMETRY
通讯作者	Bai, Linyan (baily@radi.ac.cn)
英文摘要	Multiple cropping provides China with a very important system of intensive cultivation, and can effectively enhance the efficiency of farmland use while improving regional food production and security. A multiple cropping index (MCI), which represents the intensity of multiple cropping and reflects the effects of climate change on agricultural production and cropping systems, often serves as a useful parameter. Therefore, monitoring the dynamic changes in the MCI of farmland over a large area using remote sensing data is essential. For this purpose, nearly 30 years of MCIs related to dry land in the North China Plain (NCP) were efficiently extracted from remotely sensed leaf area index (LAI) data from the Global LAnd Surface Satellite (GLASS). Next, the characteristics of the spatial-temporal change in MCI were analyzed. First, 2162 typical arable sample sites were selected based on a gridded spatial sampling strategy, and then the LAI information was extracted from the samples. Second, the Savizky-Golay filter was used to smooth the LAI time-series data of the samples, and then the MCIs of the samples were obtained using a second-order difference algorithm. Finally, the geo-statistical Kriging method was employed to map the spatial distribution of the MCIs and to obtain a time-series dataset of the MCIs of dry land over the NCP. The results showed that all of the MCIs in the NCP showed an increasing trend over the entire study period and increased most rapidly from 1982 to 2002. Spatially, MCIs decreased from south to north; also, high MCIs were mainly concentrated in the relatively flat areas. In addition, the partial spatial changes of MCIs had clear geographical characteristics, with the largest change in Henan Province. © 2016 by the authors; licensee MDPI, Basel, Switzerland.
学科主题	Chemistry; Electrochemistry; Instruments & Instrumentation
类目[WOS]	Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20161802315463
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39299]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. Key Lab of Agri-information Service Technology, Ministry of Agriculture of China, Agricultural Information Institute Chinese Academy of Agricultural Sciences, Beijing, China 3. College of architecture and urban planning, Chongqing Jiaotong University, Chongqing, China 4. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China
推荐引用方式 GB/T 7714	Zhao, Yan,Bai, Linyan,Feng, Jianzhong,et al. Spatial and temporal distribution of multiple cropping indices in the North China plain using a long remote sensing data time series[J]. Sensors (Switzerland),2016,16(4).
APA	Zhao, Yan.,Bai, Linyan.,Feng, Jianzhong.,Lin, Xiaosong.,Wang, Li.,...&Wang, Kui.(2016).Spatial and temporal distribution of multiple cropping indices in the North China plain using a long remote sensing data time series.Sensors (Switzerland),16(4).
MLA	Zhao, Yan,et al."Spatial and temporal distribution of multiple cropping indices in the North China plain using a long remote sensing data time series".Sensors (Switzerland) 16.4(2016).