The grain production potential assessment with multiple cropping index (MCI) in China

Zhiqiang Gao; Jicai Ning; Wei Gao

doi:10.1117/12.2058304

The grain production potential assessment with multiple cropping index (MCI) in China

Zhiqiang Gao^*
, Jicai Ning
, Wei Gao

^*此作品的通讯作者

CAS - Yantai Institute of Coastal Research for Sustainable Development
Colorado State University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

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.

源语言	英语
主期刊名	Remote Sensing and Modeling of Ecosystems for Sustainability XI
编辑	Jinnian Wang, Ni-Bin Chang, Wei Gao
出版商	SPIE
ISBN（电子版）	9781628412482
DOI	https://doi.org/10.1117/12.2058304
出版状态	已出版 - 2014
已对外发布	是
活动	Remote Sensing and Modeling of Ecosystems for Sustainability XI - San Diego, 美国期限: 18 8月 2014 → 20 8月 2014

出版系列

姓名	Proceedings of SPIE - The International Society for Optical Engineering
卷	9221
ISSN（印刷版）	0277-786X
ISSN（电子版）	1996-756X

会议

会议	Remote Sensing and Modeling of Ecosystems for Sustainability XI
国家/地区	美国
市	San Diego
时期	18/08/14 → 20/08/14

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 2 零饥饿
可持续发展目标 8 体面工作和经济增长

访问文件

10.1117/12.2058304

其它文件与链接

链接到 Scopus 的出版物

引用此

Gao, Z., Ning, J., & Gao, W. (2014). The grain production potential assessment with multiple cropping index (MCI) in China. 在 J. Wang, N.-B. Chang, & W. Gao (编辑), Remote Sensing and Modeling of Ecosystems for Sustainability XI 文章 922116 (Proceedings of SPIE - The International Society for Optical Engineering; 卷 9221). SPIE. https://doi.org/10.1117/12.2058304

@inproceedings{64a9fce0b4874f2cab9e6d45be86553a,

title = "The grain production potential assessment with multiple cropping index (MCI) in China",

abstract = "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.",

keywords = "Change of cropland, China, Grain production potential, MCI, Time series data",

author = "Zhiqiang Gao and Jicai Ning and Wei Gao",

note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Remote Sensing and Modeling of Ecosystems for Sustainability XI ; Conference date: 18-08-2014 Through 20-08-2014",

year = "2014",

doi = "10.1117/12.2058304",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Jinnian Wang and Ni-Bin Chang and Wei Gao",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability XI",

address = "美国",

}

Gao, Z, Ning, J & Gao, W 2014, The grain production potential assessment with multiple cropping index (MCI) in China. 在 J Wang, N-B Chang & W Gao (编辑), Remote Sensing and Modeling of Ecosystems for Sustainability XI., 922116, Proceedings of SPIE - The International Society for Optical Engineering, 卷 9221, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, 美国, 18/08/14. https://doi.org/10.1117/12.2058304

The grain production potential assessment with multiple cropping index (MCI) in China. / Gao, Zhiqiang; Ning, Jicai; Gao, Wei.
Remote Sensing and Modeling of Ecosystems for Sustainability XI. 编辑 / Jinnian Wang; Ni-Bin Chang; Wei Gao. SPIE, 2014. 922116 (Proceedings of SPIE - The International Society for Optical Engineering; 卷 9221).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - The grain production potential assessment with multiple cropping index (MCI) in China

AU - Gao, Zhiqiang

AU - Ning, Jicai

AU - Gao, Wei

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Change of cropland

KW - China

KW - Grain production potential

KW - MCI

KW - Time series data

UR - https://www.scopus.com/pages/publications/84922727157

U2 - 10.1117/12.2058304

DO - 10.1117/12.2058304

M3 - 会议稿件

AN - SCOPUS:84922727157

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability XI

A2 - Wang, Jinnian

A2 - Chang, Ni-Bin

A2 - Gao, Wei

PB - SPIE

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability XI

Y2 - 18 August 2014 through 20 August 2014

ER -

The grain production potential assessment with multiple cropping index (MCI) in China

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

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