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

^*Corresponding author for this work

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability XI
Editors	Jinnian Wang, Ni-Bin Chang, Wei Gao
Publisher	SPIE
ISBN (Electronic)	9781628412482
DOIs	https://doi.org/10.1117/12.2058304
State	Published - 2014
Externally published	Yes
Event	Remote Sensing and Modeling of Ecosystems for Sustainability XI - San Diego, United States Duration: 18 Aug 2014 → 20 Aug 2014

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9221
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability XI
Country/Territory	United States
City	San Diego
Period	18/08/14 → 20/08/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 8 Decent Work and Economic Growth

Keywords

Change of cropland
China
Grain production potential
MCI
Time series data

Access to Document

10.1117/12.2058304

Cite this

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

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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",

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

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}

Gao, Z, Ning, J & Gao, W 2014, The grain production potential assessment with multiple cropping index (MCI) in China. in J Wang, N-B Chang & W Gao (eds), Remote Sensing and Modeling of Ecosystems for Sustainability XI., 922116, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9221, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, United States, 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. ed. / Jinnian Wang; Ni-Bin Chang; Wei Gao. SPIE, 2014. 922116 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9221).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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

Abstract

Publication series

Conference

UN SDGs

Keywords

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