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Dynamic change in rice leaf area index and spectral response under flooding stress

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Abstract

Analysis of the canopy structure change and spectral response mechanism of rice under flooding stress is an important prerequisite for large-scale monitoring of rice flooding disasters. The leaf area index (LAI) was used as the characterization indicator. The response rule of the canopy spectrum to flooding stress intensity was analyzed. The sensitive spectral characteristic parameters were screened to construct the LAI spectral response model of rice under flooding stress. The results showed that the rice LAI under flooding stress decreased with an increase in waterlogging depth. The spectral reflectance of the rice canopy under flooding stress significantly changed in the near-infrared band and decreased with an increase in waterlogging depth. In 680–760 nm, the double peak in the first-order differential spectrum of the rice canopy was more obvious with advancement of the growth process and a multiple peak appeared during the late growth stage. The blueshift of the red edge parameters was the most obvious in the submerged top during the tillering stage. A power function regression model based on the ratio of the first-order differential spectral amplitude at 737 nm to 719 nm in the red edge range was the optimal LAI response model for rice under flooding stress. A field waterlogging experiment was used to simulate and analyze the influence of flooding on the rice canopy structure and the canopy spectral response rule, providing a reference for the subsequent analysis of rice growth and disaster loss assessment under flooding stress.

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Funding

Funding was provided by The National Natural Science Foundation of China (Grant Nos. 41571323, 41501481); The National Natural Science Fund of Beijing (Grant No. 6172011); The Special Capacity Building for Innovation of Beijing Academy of Agriculture and Forestry Sciences (Grant No. KJCX20170705).

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Authors and Affiliations

  1. Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, 100097, China

    Qian Sun, Xiaohe Gu, Guijun Yang & Longfei Zhou

  2. Shandong University of Science and Technology College of Geomatics, Qingdao, 266590, Shandong, China

    Qian Sun, Lin Sun & Longfei Zhou

  3. National Engineering Research Center for Information Technology in Agriculture, Beijing Nongke Building A1007, No.11 ShuGuang Hua Yuan Middle Road, Haidian District, Beijing, 100097, China

    Qian Sun, Xiaohe Gu, Guijun Yang & Longfei Zhou

  4. Beijing Engineering Research Center for Agriculture Internet of Things, Beijing, 100097, China

    Qian Sun, Xiaohe Gu, Guijun Yang & Longfei Zhou

  5. Henan Agricultural University College of Information and Management Sciences, Zhengzhou, 450002, Henan, China

    Wei Guo

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  1. Qian Sun
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  2. Xiaohe Gu
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  3. Lin Sun
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  4. Guijun Yang
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  5. Longfei Zhou
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Correspondence to Xiaohe Gu.

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Sun, Q., Gu, X., Sun, L. et al. Dynamic change in rice leaf area index and spectral response under flooding stress. Paddy Water Environ 18, 223–233 (2020). https://doi.org/10.1007/s10333-019-00776-5

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  • DOI: https://doi.org/10.1007/s10333-019-00776-5

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