Novel radiometric indices derived from close-range observations for assessing crop growth, yield and productive structure

我们提出了新的大田作物近距离观测方法，利用光谱辐射测量和图像工程来评估产量构成因素、营养状况和冠层生产结构。以往未探索的方法：夜间测量、中红外波长范围、偏振图像和连续定点光谱波段图像观测，以及纹理分析，都在野外实验中进行了离散测试。这些方法具有对株高、叶面积、氮素密度、生物量、生育期、籽粒产量、叶色、叶倾角等进行无损估计的潜力，具有较高的精度。

We have proposed new close-range observation methods for field crops to assess yield components, nutrient condition and canopy productive structure using spectral radiometry and image engineering. Previously unexplored methods : nighttime measurement, middle infrared wavelength range, polarization image and continuous fixed-point spectral band image observations, and texture analysis, were discretely tested in field experiments. These methods had potential to non-destructively estimate, for example, plant height, leaf area, nitrogen density, biomass, growth stage, grain yield, leaf color and leaf inclination angle with high degrees of accuracy.