The grain production potential assessment with multiple cropping index (MCI) in China
Gao, Zhiqiang(1,2); Ning, Jicai(1); Gao, Wei(2); Gao, Zhiqiang
会议主办者The Society of Photo-Optical Instrumentation Engineers (SPIE)
2014
会议名称Remote Sensing and Modeling of Ecosystems for Sustainability XI
卷号9221
会议日期August 18, 2014 - August 20, 2014
会议地点San Diego, CA, United states
ISSN号0277-786X
ISBN号9781628412482
产权排序(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China ; (2) Natural Resource Ecology Laboratory, Center of Remote Sensing and Modeling for Agricultural Sustainability, Colorado State University, Fort Collins ; CO, United States
关键词Remote Sensing Change Of Cropland China Grain Production Mci Time-series Data
摘要This paper retrieved the information of cropland and MCI (Multiple Cropping Index) of China in 2000 and 2009 with SPOT NDVI time series data and utilized meteorological data and statistical data released by the state to calculate potential MCI and statistical MCI. Then, the MCI potential of China and grain production potential based on MCI were calculated in order to analyze the potential spatial distribution characteristics of MCI and the potential spatial pattern characteristics. The national mean MCI potentials in 2000 and 2009 are 0.485 and 0.506 respectively calculated with the remote sensing method and statistical method. And the grain productivity potentials of China based on MCI are 51% and 53% respectively. The improvement of MCI potential not only increases hydrothermal utilization rate and the utilization rate of cropland but also enormously enhances the food security degree of China and provides more available cropland area for the economic development.
作者部门海岸带信息集成与综合管理实验室
DOI10.1117/12.2058304
收录类别EI
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.yic.ac.cn/handle/133337/8829
专题中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
中国科学院海岸带环境过程与生态修复重点实验室
通讯作者Gao, Zhiqiang
推荐引用方式
GB/T 7714
Gao, Zhiqiang,Ning, Jicai,Gao, Wei,et al. The grain production potential assessment with multiple cropping index (MCI) in China[C]:SPIE,2014.
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