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Use of ground-based canopy reflectance to determine radiation capture, nitrogen and water status, and final yield in wheat.

机译：利用地基冠层反射率确定小麦的辐射捕获，氮和水状况以及最终产量。

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摘要

Ground-based spectral imaging devices offer an important supplement to satellite imagery. Hand-held, ground-based sensors allow rapid, inexpensive measurements that are not affected by the earth's atmosphere. They also provide a basis for high altitude spectral indices.; We quantified the spectral reflectance characteristics of hard red spring wheat (Triticum aestivum cv. Westbred 936) in research plots subjected to either nitrogen or water stress in a two year study. Both types of stress reduced ground cover, which was evaluated by digital photography and compared with ten spectral reflectance indices. On plots with a similar soil background, simple indices such as the normalized difference vegetation index, ratio vegetation index, and difference vegetation index were equal to or superior to more complex vegetation indices for predicting ground cover. Yield was estimated by integrating the normalized difference vegetation index over the growing season. The coefficient of determination (r2) between integrated normalized difference vegetation index and final yield was 0.86.; Unfortunately, none of these indices were able to differentiate between the intensity of green leaf color and ground cover fraction, and thus could not distinguish nitrogen from water stress. We developed a reflective index that can differentiate nitrogen and water stress over a wide range of ground cover. The index is based on the ratio of the green and red variants of the normalized difference vegetation index. The new index was able to distinguish nitrogen and water stress from satellite data using wavelengths less than 1000 nm. This index should be broadly applicable over a wide range of plant types and environments.
机译：地面光谱成像设备为卫星成像提供了重要的补充。手持式地面传感器可进行快速，廉价的测量，不受地球大气的影响。它们也为高海拔光谱指数提供了基础。在为期两年的研究中，我们在遭受氮或水分胁迫的研究区中对硬红春小麦（ esticum cv。Westbred 936）的光谱反射特性进行了量化。两种类型的应力均会降低地面覆盖率，这已通过数码摄影进行了评估，并与十种光谱反射率指数进行了比较。在具有相似土壤背景的样地上，简单的指数（例如归一化差异植被指数，比率植被指数和差异植被指数）等于或优于更复杂的植被指数以预测地被植物。通过对整个生长季节的归一化差异植被指数进行积分来估算产量。归一化差异植被指数与最终产量的决定系数（r 2 ）为0.86。不幸的是，这些指标都无法区分绿叶颜色的强度和地被植物的覆盖率，因此无法区分水分胁迫下的氮。我们开发了一种反射指数，可以区分各种地面覆盖物上的氮和水分胁迫。该指数基于归一化差异植被指数的绿色和红色变体之比。新的索引能够使用小于1000 nm的波长从卫星数据中区分出氮和水胁迫。该指数应广泛适用于各种工厂类型和环境。

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  • 作者

    Ritchie, Glen L.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Agriculture Agronomy.; Biology Plant Physiology.
  • 学位 M.S.
  • 年度 2003
  • 页码 p.1647
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学（农艺学）;
  • 关键词

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