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SPECTRAL INDICES SELECTION TO RETRIEVE WINTER WHEAT GROUND COVER

机译:检索冬季麦田覆盖物的光谱指标选择

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The ground cover of vegetation is an important parameter which indicates light interceptor of plant,plant productivity and so on. Vegetation indices have been usually employed to predict the ground coverage of crop, however vegetation indices were much affected by uncertain factors such as leaf color, crop cultivar and others. This paper compared the ability of retrievy winter wheat ground cover between near infrared and mid-infrared spectral indices, red and near-infrared vegetation indices. The digital photographs of wheat canopy were taken vertically 1.5 m aboveground and then wheat spectra were measured by an ASD Fieldspec FR2500 spectrometer. The ground cover was automatically extracted by a novel image processing procedure. 8 diagnostic bands in infrared and short-infrared region were selected to calculate 56 ratio indices and 28 normalized difference indices. The popular 7 red and near-infrared vegetation indices were calculated too.The general linear model (GLM) was applied to assess the relationship between ground coverage and spectral indices, and also to evaluate whether the spectral indices were sensitive to cultivar, fertilization, irrigation and leaf color. Results showed that red and near infrared vegetation indices that predict ground coverage were affected by at least one of the four factors mentioned above. However, it is promising that some infrared indices, such as RI690/R1450, R1450/R1690, R1450/R1690 can predict ground coverage very well and not sensitive to cultivar, fertilization, irrigation and leaf color.
机译:植被的地被是指示植物的光拦截器,植物生产力等的重要参数。通常采用植被指数来预测农作物的地面覆盖率,但是植被指数受不确定因素的影响很大,例如叶色,农作物品种等。本文在近红外和中红外光谱指数,红色和近红外植被指数之间比较了冬小麦地被植物的恢复能力。小麦冠层的数字照片是在地面1.5 m垂直拍摄的,然后用ASD Fieldspec FR2500光谱仪测量了小麦的光谱。地面覆盖物是通过新颖的图像处理程序自动提取的。选择了红外和短红外区域的8条诊断带,以计算56个比率指数和28个归一化差异指数。还计算了流行的7种红色和近红外植被指数。应用通用线性模型(GLM)评估地面覆盖率与光谱指数之间的关系,并评估光谱指数是否对品种,施肥,灌溉敏感。和叶子的颜色。结果表明,预测地面覆盖的红色和近红外植被指数受上述四个因素中的至少一个影响。但是,有希望的是,某些红外指数,例如RI690 / R1450,R1450 / R1690,R1450 / R1690可以很好地预测地面覆盖率,并且对品种,施肥,灌溉和叶片颜色不敏感。

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