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A Rice Mapping Method Based on Time-Series Landsat Data for the Extraction of Growth Period Characteristics

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  • Jing Liao

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Province Land Information Engineering Technology Research Center, South China Agricultural University, Guangzhou 510642, China)

  • Yueming Hu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Province Land Information Engineering Technology Research Center, South China Agricultural University, Guangzhou 510642, China)

  • Hongliang Zhang

    (Guizhou Academy of Sciences, Guiyang 550001, China)

  • Luo Liu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Province Land Information Engineering Technology Research Center, South China Agricultural University, Guangzhou 510642, China)

  • Zhenhua Liu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, South China Agricultural University, Guangzhou 510642, China
    Guangdong Province Land Information Engineering Technology Research Center, South China Agricultural University, Guangzhou 510642, China)

  • Zhengxi Tan

    (ASRC Federal, U.S. Geological Survey Earth Resources Observation and Science (EROS), Sioux Falls, SD 57198, USA)

  • Guangxing Wang

    (Department of Geography and Environmental Resources, College of Liberal Arts, Southern Illinois University Carbondale (SIUC), Carbondale, IL 62901, USA)

Abstract

The rapid and accurate acquisition of rice cultivation information is very important for the management and assessment of rice agriculture and for research on food security, the use of agricultural water resources, and greenhouse gas emissions. Rice mapping methods based on phenology have been widely used but further studies are needed to clearly quantify the rice characteristics during the growth cycle. This paper selected the area where rice agriculture has undergone tremendous changes as the observation object. The rice areas were mapped in three time periods during the period from 1993 to 2016 by combining the characteristics of the harvested areas, flooded areas, and the time interval when harvesting and flooding occurred. An error matrix was used to determine the mapping accuracy. After exclusion of clouds and cloud shadows, the overall accuracy of the paddy fields was higher than 90% (90.5% and 93.5% in period 1 and period 3, respectively). Mixed pixels, image quality, and image acquisition time are important factors affecting the accuracy of rice mapping. The rapid economic development led to an adjustment of people’s diets and presumably this is the main reason why rice cultivation is no longer the main agricultural production activity in the study area.

Suggested Citation

  • Jing Liao & Yueming Hu & Hongliang Zhang & Luo Liu & Zhenhua Liu & Zhengxi Tan & Guangxing Wang, 2018. "A Rice Mapping Method Based on Time-Series Landsat Data for the Extraction of Growth Period Characteristics," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2570-:d:159408
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    References listed on IDEAS

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    1. Emily Elert, 2014. "Rice by the numbers: A good grain," Nature, Nature, vol. 514(7524), pages 50-51, October.
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    Cited by:

    1. Wei, Jun & Cui, Yuanlai & Luo, Yufeng, 2023. "Rice growth period detection and paddy field evapotranspiration estimation based on an improved SEBAL model: Considering the applicable conditions of the advection equation," Agricultural Water Management, Elsevier, vol. 278(C).

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