Spatial Exploration of Multiple Cropping Efficiency in China Based on Time Series Remote Sensing Data and Econometric Model

doi:10.1016/S2095-3119(13)60308-1

Journal of Integrative Agriculture ›› 2013, Vol. 12 ›› Issue (5): 903-913.DOI: 10.1016/S2095-3119(13)60308-1

Spatial Exploration of Multiple Cropping Efficiency in China Based on Time Series Remote Sensing Data and Econometric Model

ZUO Li-jun, WANG Xiao, LIU Fang , YI Ling

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, P.R.China

收稿日期:2012-07-30 出版日期:2013-05-01 发布日期:2013-05-01
通讯作者: Correspondence ZUO Li-jun, Tel: +86-10-64889202, Mobile: 13466629007, E-mail: zuolj@irsa.ac.cn
基金资助:
This work was supported by the National Natural Science Foundation of China (41001277) and the National 973 Program of China (2010CB95090102). The authors also express appreciation to all persons and institutes who kindly made their data available for this analysis.

Spatial Exploration of Multiple Cropping Efficiency in China Based on Time Series Remote Sensing Data and Econometric Model

ZUO Li-jun, WANG Xiao, LIU Fang , YI Ling

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, P.R.China

Received:2012-07-30 Online:2013-05-01 Published:2013-05-01
Contact: Correspondence ZUO Li-jun, Tel: +86-10-64889202, Mobile: 13466629007, E-mail: zuolj@irsa.ac.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (41001277) and the National 973 Program of China (2010CB95090102). The authors also express appreciation to all persons and institutes who kindly made their data available for this analysis.

摘要/Abstract

摘要： This study explored spatial explicit multiple cropping efficiency (MCE) of China in 2005 by coupling time series remote sensing data with an econometric model - stochastic frontier analysis (SFA). We firstly extracted multiple cropping index (MCI) on the basis of the close relationship between crop phenologies and moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI) value. Then, SFA model was employed to calculate MCE, by considering several indicators of meteorological conditions as inputs of multiple cropping systems and the extracted MCI was the output. The result showed that 46% of the cultivated land in China in 2005 was multiple cropped, including 39% doublecropped land and 7% triple-cropped land. Most of the multiple cropped land was distributed in the south of Great Wall. The total efficiency of multiple cropping in China was 87.61% in 2005. Southwestern China, Ganxin Region, the middle and lower reaches of Yangtze River and Huanghuaihai Plain were the four agricultural zones with the largest rooms for increasing MCI and improving MCE. Fragmental terrain, soil salinization, deficiency of water resources, and loss of labor force were the obstacles for MCE promotion in different zones. The method proposed in this paper is theoretically reliable for MCE extraction, whereas further studies are need to be done to investigate the most proper indicators of meteorological conditions as the inputs of multiple cropping systems.

关键词: multiple cropping efficiency , multiple cropping index (MCI) , time series of MODIS/EVI , stochastic frontier analysis (SFA) , China

Abstract: This study explored spatial explicit multiple cropping efficiency (MCE) of China in 2005 by coupling time series remote sensing data with an econometric model - stochastic frontier analysis (SFA). We firstly extracted multiple cropping index (MCI) on the basis of the close relationship between crop phenologies and moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI) value. Then, SFA model was employed to calculate MCE, by considering several indicators of meteorological conditions as inputs of multiple cropping systems and the extracted MCI was the output. The result showed that 46% of the cultivated land in China in 2005 was multiple cropped, including 39% doublecropped land and 7% triple-cropped land. Most of the multiple cropped land was distributed in the south of Great Wall. The total efficiency of multiple cropping in China was 87.61% in 2005. Southwestern China, Ganxin Region, the middle and lower reaches of Yangtze River and Huanghuaihai Plain were the four agricultural zones with the largest rooms for increasing MCI and improving MCE. Fragmental terrain, soil salinization, deficiency of water resources, and loss of labor force were the obstacles for MCE promotion in different zones. The method proposed in this paper is theoretically reliable for MCE extraction, whereas further studies are need to be done to investigate the most proper indicators of meteorological conditions as the inputs of multiple cropping systems.

Key words: multiple cropping efficiency , multiple cropping index (MCI) , time series of MODIS/EVI , stochastic frontier analysis (SFA) , China

ZUO Li-jun, WANG Xiao, LIU Fang , YI Ling. Spatial Exploration of Multiple Cropping Efficiency in China Based on Time Series Remote Sensing Data and Econometric Model[J]. Journal of Integrative Agriculture, 2013, 12(5): 903-913.

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Spatial Exploration of Multiple Cropping Efficiency in China Based on Time Series Remote Sensing Data and Econometric Model

Spatial Exploration of Multiple Cropping Efficiency in China Based on Time Series Remote Sensing Data and Econometric Model

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