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CHARACTERISTICS OF VEGETATION INDICES FROM VISIBLE IMAGES FOR GROUND-BASED PHENOLOGY OBSERVATION

机译:基于地面物候观测的可见图像植被指数特征

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Ground-based phenology observations using digital cameras are being carried out to understand the effects of abnormal weather and climate variability on vegetation. When using commercial digital cameras in phenology observations, camera settings such as white balance and the difference of camera models and illumination conditions influence the RGB digital numbers of the images. Vegetation indices used in phenology observations that are calculated from digital numbers of images, must also be put in issue. In this study, the effectiveness of 4 vegetation indices calculated from color-corrected visual images for detecting the change of leaves and flowers was investigated by comparing under different weather conditions and within the change of season. The influence of bi-directional reflectance could be reduced by using images that were taken when the direction of the sun was around 90° to the direction of the field of view of camera. Also, it is possible to detect the timing of the phenological events by using the vegetation indices, but the influence of weather remains as a problem.
机译:正在使用数码相机进行地面物候观测,以了解异常天气和气候多变性对植被的影响。在物候观测中使用商用数码相机时,诸如白平衡以及相机型号和照明条件的差异之类的相机设置会影响图像的RGB数字。还必须发布用于物候观测的植被指数,该指数是根据图像的数字数量计算得出的。在这项研究中,通过在不同天气条件下和季节变化内进行比较,研究了由色彩校正的视觉图像计算出的四种植被指数对检测叶子和花朵变化的有效性。通过使用当太阳方向与摄像机视场方向成90°左右时拍摄的图像,可以减少双向反射的影响。而且,可以通过使用植被指数来检测物候事件的时间,但是天气的影响仍然是一个问题。

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