<FONT face="Verdana">Estimation of Rice Yield under High Temperature Stress by Hyperspectral Remote Sensing <BR></FONT>

XIE Xiaojin,LI Yingxue,LI Bingbai,SHEN Shuanghe,CHENG Gaofeng

doi:10.3969/j.issn.1001-7216.2010.02.15

Chinese Journal OF Rice Science >

2010 , Vol. 24 >Issue 2: 196 - 202

DOI: https://doi.org/10.3969/j.issn.1001-7216.2010.02.15

研究报告

Estimation of Rice Yield under High Temperature Stress by Hyperspectral Remote Sensing

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1College of Applied Meteorology, Nanjing University of Information Science and Technology， Nanjing 210044, China; 2Institute of Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; *Corresponding author, E-mail: bbli88@163.com

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2010-03-10

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Abstract

To determine the relationships between the canopy spectral reflectance indices during different growth stages and grain yield and its components of rice, and to seek the sensitive spectral parameters for exactly estimating rice grain yield under high temperature stress, a pot experiment was conducted with two rice cultivars under four hightemperature stresses at the booting stage. The canopy hyperspectral reflectance at different growth stages after heading, theoretical yield, actual yield, grain number per panicle, grain weight, panicle length, panicle weight and seed setting rate after maturity were measured. The coefficients of correlations between the spectral indices and the theoretical yield, actual yield, panicle number, grain number per panicle, grain weight, panicle length, panicle weight and seed setting rate at the heading and filling stages were significantly higher than those at the ripening stage, and the indices at the heading and filling stages could be key to predicting rice yield. In these spectral indices, the difference vegetation index DVI \[810, A(450,560,680)\], perpendicular vegetation index PVI (810,680), peak value of red edge and area of the red edge peak could be used for simultaneously estimating the theoretical and actual yields of matured rice. Besides, DVI (810,450) and DVI(810,560), PVI (810,680) and peak value of red edge could be used for simultaneously estimating the panicle number, grain number per panicle and grain weight of matured rice. The model based on the indices at the heading stage could monitor rice yield more reliably than that based on the indices at the filling stage.

Key words： rice; high temperature stress; canopy hyperspectral reflectance; yield forecast; yield components; model; remote sensing

Cite this article

XIE Xiaojin,LI Yingxue,LI Bingbai,SHEN Shuanghe,CHENG Gaofeng . Estimation of Rice Yield under High Temperature Stress by Hyperspectral Remote Sensing
[J]. Chinese Journal OF Rice Science, 2010 , 24(2) : 196 -202 . DOI: 10.3969/j.issn.1001-7216.2010.02.15

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