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

文献类型： 外文期刊

作者： Sun, Qian 1 ; Gu, Xiaohe 1 ; Sun, Lin 2 ; Yang, Guijun 1 ; Zhou, Longfei 1 ; Guo, Wei 5 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Key Lab Quantitat Remote Sensing Agr, Minist Agr, Beijing 100097, Peoples R China

2.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Shandong, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing Nongke Bldg A1007, Beijing 100097, Peoples R China

4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China

5.Henan Agr Univ, Coll Informat & Management Sci, Zhengzhou 450002, Henan, Peoples R China

关键词： Rice; Flooding stress; LAI; Canopy spectrum; Red edge parameters

期刊名称：PADDY AND WATER ENVIRONMENT （ 影响因子：1.517； 五年影响因子：1.754 ）

ISSN： 1611-2490

年卷期：

页码：

收录情况： SCI

摘要： 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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