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棉花叶面积指数冠层反射率光谱响应及其反演
引用本文:柏军华,李少昆,王克如,张小均,肖春华,隋学艳.棉花叶面积指数冠层反射率光谱响应及其反演[J].中国农业科学,2007,40(1):63-69.
作者姓名:柏军华  李少昆  王克如  张小均  肖春华  隋学艳
作者单位:中国农业科学院作物科学研究所/国家农作物基因资源与基因改良重大科学工程
基金项目:国家高技术研究发展计划(863计划);绿洲生态农业重点实验室开放课题资助项目
摘    要:【目的】研究棉花冠层光谱对不同叶面积指数(LAI)的响应,建立棉花LAI光谱反演模型。【方法】利用2003~2004年采集的棉花光谱与LAI的246组数据,分析LAI与冠层反射率光谱和反射率一阶微分光谱间的定量关系。【结果】当LAI大于2.5后不同LAI棉花群体光谱反射率在可见光波段趋于饱和;LAI与可见光波段和短波红外波段(水分吸收带除外)光谱反射率呈显著负相关,与近红外波段高光谱反射率呈显著正相关;LAI与棉花反射率一阶微分光谱主要在蓝边(523~531 nm)、黄边(570~576 nm)、红边(700~755 nm)形成3个相关系数高台区,均达极显著水平,其中红边区的相关性最高。棉花红边位置固定,分别在718 nm和723 nm,且以 723 nm处对LAI更敏感。在反演棉花LAI的高光谱参数中VI (660、800)、VI (550、800)、VI (500、800)、VI (670、800)、Sdy (570~573 nm)、SDr (714~755 nm)、D723、Dr 估算LAI相对误差低于30%,RSME小于0.6,其中VI (600、800)、VI(550、800)两个参数估算水平最高,相对误差分别为21.7%与21.0%,RMSE分别为0.416与0.419;利用SDr与SDr/SDb分别对LAI大于1.0 与小于1.0 的棉花群体反演,能显著提高LAI的估算水平。【结论】应用高光谱分析方法能够提取棉花冠层特征光谱信息,构建LAI高光谱反演参数,建立估算模型,并且利用包含不同光谱参数的分段模型可以进一步提高LAI反演精度。

关 键 词:棉花冠层  叶面积指数  反射率光谱  反演
收稿时间:2006-1-4
修稿时间:2006-01-04

The Response of Canopy Reflectance Spectrum for the Cotton LAI and LAI Inversion
BAI Jun-hua,LI Shao-kun,WANG Ke-ru,ZHANG Xiao-jun,XIAO Chun-hua,SUI Xue-yan.The Response of Canopy Reflectance Spectrum for the Cotton LAI and LAI Inversion[J].Scientia Agricultura Sinica,2007,40(1):63-69.
Authors:BAI Jun-hua  LI Shao-kun  WANG Ke-ru  ZHANG Xiao-jun  XIAO Chun-hua  SUI Xue-yan
Institution:1.Institute of Crop Sciences, Chinese Academy of Agriculture Sciences/The National Key Facility for Crop Gene Resources and Genetic Improvement, NFCRI, Beijing 100081; 2.Key Laboratory of Oasis Ecology Agriculture of Xinjiang Construction Crops/The Center of Crop High-yield Research, Shihezi 832003
Abstract:The results are achieved through the canopy hyperspectral study in the different growing stages and the different varieties of cotton. The spectral difference of the visional wave is obvious in 2.5 of LAI, and the difference trend to the saturation ; the correlation between LAI and the spectrum is significant negative in the visional wave, and the correlation between LAI and the near infrared is significant positive; there are three high plaint regions, including blue region(523-531nm)、yellow region(570-576nm)、red region(700-755nm) respectively, resulted from the correlation between LAI and the derivative spectrum, and among them the red region is the strongest. The late peak of the red edge is the leaf area index. Among hyperspectral parameters constructing the estimation model of LAI of cotton, the analyses shows that the relative error, including NDVI(660、800)、NDVI(550、800)、NDVI(500、800)、NDVI(670、800)、SDy(570-573nm)、SDr(714-755nm)、D723、Dr, is under 30% and RMSE is under 0.6, and NDVI(660、800)and NDVI(550、800) is better comparatively. The achievement is improved throughout establishing the stage models, and SDr is used when the leaf index is under 1.0 and SDr/SDb is used when the leaf area index is above 1.0.
Keywords:Cotton canopy  LAI  Reflectance spectrum  Inversion
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