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

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Abstract

The objective of this study was to obtain spatial distribution maps of paddy rice fields using multi-date moderateresolution 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.

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Authors and Affiliations

  1. Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou, 310029, China

    Hua-sheng Sun, Jing-feng Huang & Dai-liang Peng

  2. Key Lab of Agricultural Remote Sensing and Information System, Hangzhou, 310029, China

    Hua-sheng Sun & Dai-liang Peng

  3. MOE Key Lab of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou, 310029, China

    Jing-feng Huang

  4. Department of Soil, Water, and Environmental Science, University of Arizona, Tucson, AZ, 85721, USA

    Alfredo R. Huete

  5. Resources and Environment Department, Xinjiang Agricultural University, Urumchi, 830052, China

    Feng Zhang

  6. College of Surveying and Mapping, Xuzhou Normal University, Xuzhou, 221116, China

    Hua-sheng Sun

Authors
  1. Hua-sheng Sun
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  2. Jing-feng Huang
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  3. Alfredo R. Huete
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  4. Dai-liang Peng
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  5. Feng Zhang
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Correspondence to Jing-feng Huang.

Additional information

Project supported by the National High-Tech Research and Development Program (863) of China (No. 2006AA120101), the National Natural Science Foundation of China (No. 40871158/D0106), and the Key Technologies Research and Development Program of China (No. 2006BAD10A01)

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Sun, Hs., Huang, Jf., Huete, A.R. et al. Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China. J. Zhejiang Univ. Sci. A 10, 1509–1522 (2009). https://doi.org/10.1631/jzus.A0820536

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  • DOI: https://doi.org/10.1631/jzus.A0820536

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