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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.10 P.1509~1522

http://doi.org/10.1631/jzus.A0820536


Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China


Author(s):  Hua-sheng SUN, Jing-feng HUANG, Alfredo R. HUETE, Dai-liang PENG, Feng ZHANG

Affiliation(s):  Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou 310029, China; more

Corresponding email(s):   sunhuasheng@126.com, hjf@zju.edu.cn

Key Words:  Remote sensing, Moderate-resolution imaging spectroradiometer (MODIS), Enhanced vegetation index (EVI), Land surface water index (LSWI), Paddy rice, China


Hua-sheng SUN, Jing-feng HUANG, Alfredo R. HUETE, Dai-liang PENG, Feng ZHANG. Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China[J]. Journal of Zhejiang University Science A, 2009, 10(10): 1509~1522.

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author="Hua-sheng SUN, Jing-feng HUANG, Alfredo R. HUETE, Dai-liang PENG, Feng ZHANG",
journal="Journal of Zhejiang University Science A",
volume="10",
number="10",
pages="1509~1522",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820536"
}

%0 Journal Article
%T Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China
%A Hua-sheng SUN
%A Jing-feng HUANG
%A Alfredo R. HUETE
%A Dai-liang PENG
%A Feng ZHANG
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 10
%P 1509~1522
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820536

TY - JOUR
T1 - Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China
A1 - Hua-sheng SUN
A1 - Jing-feng HUANG
A1 - Alfredo R. HUETE
A1 - Dai-liang PENG
A1 - Feng ZHANG
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 10
SP - 1509
EP - 1522
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820536


Abstract: 
The objective of this study was to obtain spatial distribution maps of paddy rice fields using multi-date moderate-resolution imaging spectroradiometer (MODIS) data in china. paddy rice fields were extracted by identifying the unique characteristic of high soil moisture in the flooding and transplanting period with improved algorithms based on rice growth calendar regionalization. The characteristic could be reflected by the enhanced vegetation index (EVI) and the land surface water index (LSWI) derived from MODIS sensor data. Algorithms for single, early, and late rice identification were obtained from selected typical test sites. The algorithms could not only separate early rice and late rice planted in the same fields, but also reduce the uncertainties. The areal accuracy of the MODIS-derived results was validated by comparison with agricultural statistics, and the spatial matching was examined by ETM+ (enhanced thematic mapper plus) images in a test region. Major factors that might cause errors, such as the coarse spatial resolution and noises in the MODIS data, were discussed. Although not suitable for monitoring the inter-annual variations due to some inevitable factors, the MODIS-derived results were useful for obtaining spatial distribution maps of paddy rice on a large scale, and they might provide reference for further studies.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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