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Received: 2012-12-19

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Journal of Zhejiang University SCIENCE B 2013 Vol.14 No.10 P.934-946

http://doi.org/10.1631/jzus.B1200352


Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data


Author(s):  Jing-jing Shi, Jing-feng Huang, Feng Zhang

Affiliation(s):  Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   hjf@zju.edu.cn

Key Words:  Paddy rice, Moderate resolution imaging spectroradiometer (MODIS), Northeast China, Enhanced vegetation index, Land surface water index


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Jing-jing Shi, Jing-feng Huang, Feng Zhang. Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data[J]. Journal of Zhejiang University Science B, 2013, 14(10): 934-946.

@article{title="Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data",
author="Jing-jing Shi, Jing-feng Huang, Feng Zhang",
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pages="934-946",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1200352"
}

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%T Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data
%A Jing-jing Shi
%A Jing-feng Huang
%A Feng Zhang
%J Journal of Zhejiang University SCIENCE B
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1200352

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T1 - Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data
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A1 - Jing-feng Huang
A1 - Feng Zhang
J0 - Journal of Zhejiang University Science B
VL - 14
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SP - 934
EP - 946
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.B1200352


Abstract: 
The objective of this study was to investigate the tempo-spatial distribution of paddy rice in northeast China using moderate resolution imaging spectroradiometer (MODIS) data. We developed an algorithm for detection and estimation of the transplanting and flooding periods of paddy rice with a combination of enhanced vegetation index (EVI) and land surface water index with a central wavelength at 2130 nm (LSWI2130). In two intensive sites in northeast China, fine resolution satellite imagery was used to validate the performance of the algorithm at pixel and 3×3 pixel window levels, respectively. The commission and omission errors in both of the intensive sites were approximately less than 20%. Based on the algorithm, annual distribution of paddy rice in northeast China from 2001 to 2009 was mapped and analyzed. The results demonstrated that the MODIS-derived area was highly correlated with published agricultural statistical data with a coefficient of determination (R2) value of 0.847. It also revealed a sharp decline in 2003, especially in the Sanjiang Plain located in the northeast of Heilongjiang Province, due to the oversupply and price decline of rice in 2002. These results suggest that the approaches are available for accurate and reliable monitoring of rice cultivated areas and variation on a large scale.

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