小麦倒伏的光谱特征及遥感监测

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[1]刘良云,王纪华,宋晓宇,李存军,黄文江,赵春江.小麦倒伏的光谱特征及遥感监测[J].遥感学报,2005(03):323-327. DOI： 10.11834/jrs.20050347.

LIU Liang-yun, WANG Ji-hua, SONG Xiao-yu, et al. The Canopy Spectral Features and Remote Sensing of Wheat Lodging[J]. Journal of Remote Sensing, 2005, (3): 323-327. DOI： 10.11834/jrs.20050347.

小麦倒伏后茎秆和叶片在探测视场中的比例及植株组分的受光条件发生了变化

其冠层光谱特性也随之发生改变

所以利用遥感监测倒伏是可能的。首先

分析了叶片和茎秆组分的光谱特点

解释了倒伏后冠层光谱的变化特点

即光谱反射率随倒伏角度的增加而增加。其次

利用倒伏后冠层光谱反射率在可见光波段的相对增幅高于近红外波段的特点

利用实测数据分析和建立了归一化差异植被指数NDVI随倒伏角度的增加而降低的规律及模型。最后

采用2003年4月7日和5月9日倒伏发生前后的2景LandsatETM卫星影像

利用倒伏前后的NDVI值的变化

成功监测了小麦倒伏的发生程度。

The ratio and illumination of wheat plant’s leaf and stalk in spectrometer’s field of view change due to wheat lodging

so it is possible to detect the lodging grade by remote sensing technique.Firstly

the spectral difference between leaf and stalk is analyzed

and how canopy spectral reflectance increases with lodge angle is explained.Secondly

because the relative increase of spectral reflectance in visible bands is larger than in near infrared bands

the significant negative correlation model between lodging angle and NDVI was built by statistical analysis.Finally

two LandSat ETM satellite images of April7（before lodging）andMay9

2003（after lodging）were selected

and the ratio of NDVI derived fromthe two images was statistically correlated to the lodging grade

and the lodging grade was successfully regressed.

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