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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >ESTIMATING CROP RESIDUE COVER BY BLUE FLUORESCENCE IMAGING
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ESTIMATING CROP RESIDUE COVER BY BLUE FLUORESCENCE IMAGING

机译:通过蓝色荧光成像估算作物残留量

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Crop residues, the portion of the crop left in the field after harvest, can be an important management factor in controlling soil erosion. Current methods for quantifying crop residue cover use tedious manual sampling methods or visual comparisons with photographs. There is a need for new methods to quantify residue cover that are rapid, accurate, and objective. Scenes with known amounts of crop residue were illuminated in the lab with long-wave ultraviolet (UV) radiation and fluorescence images were measured and recorded with a video camera equipped with a mico-channel-plate image intensifier and fitted with a 453-488 nm bandpass filter. Six agricultural soils were used as backgrounds for the weathered soybean residue. Residue cover was determined from the proportion of the pixels in the image with fluorescence values greater than a threshold. Soil pixels gave the lowest fluorescence or brightness responses in the images and the residues the highest, so that brightness values of the scene spanned nearly the full range of the 8-bit video data. The images were classified in brightness categories that related to within 2% (absolute units) of measured residue cover regardless of the soil type or moisture condition (dry vs. wet). Therefore, fluorescence images can be used to provide percent residue cover in the lab, but portable equipment and procedures for use in the field still need to be developed. (C) Elsevier Science Inc., 1997. [References: 25]
机译:作物残余物是收获后留在田间的一部分作物,可能是控制土壤侵蚀的重要管理因素。当前定量农作物残留量的方法使用繁琐的手动采样方法或与照片的视觉比较。需要快速,准确和客观地量化残留物覆盖率的新方法。在实验室中,用长波紫外线(UV)辐射照亮了具有已知农作物残留量的场景,并使用配备了微通道板图像增强器并安装了453-488 nm的摄像机测量并记录了荧光图像带通滤波器。六种农业土壤被用作风化大豆残渣的背景。根据荧光值大于阈值的图像中像素的比例确定残基覆盖率。土壤像素在图像中给出的荧光或亮度响应最低,而残差最高,因此场景的亮度值几乎涵盖了8位视频数据的整个范围。不论土壤类型或湿度条件(干与湿),图像均按亮度类别分类,该亮度类别与所测残留物覆盖率的2%(绝对单位)以内有关。因此,荧光图像可用于在实验室中提供一定百分比的残留物覆盖率,但仍需要开发用于现场的便携式设备和程序。 (C)Elsevier Science Inc.,1997年。[参考:25]

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