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Remote sensing of crop biophysical parameters for site-specific agriculture.

机译:特定地点农业的作物生物物理参数遥感。

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摘要

Support for sustainable agriculture by farmers and consumers is increasing as environmental and socio-economic issues rise due to more intensive farm practices. Site-specific crop management is an important component of sustainable agriculture, within which remote sensing can play an integral role. Field and image data were acquired over a farm in Saskatchewan as part of a national research project to demonstrate the advantages of site-specific agriculture for farmers. This research involved the estimation of crop biophysical parameters from airborne hyperspectral imagery using Spectral Mixture Analysis (SMA), a relatively new sub-pixel scale image processing method that derives the fraction of sunlit canopy, soil and shadow that is contributing to a pixel's reflectance. SMA of three crop types (peas, wheat and canola) performed slightly better than conventional vegetation indices in predicting leaf area index (LAI) and biomass using Probe-1 imagery acquired early in the growing season. Other potential advantages for SMA were also identified, and it was concluded that future research is warranted to assess the full potential of SMA in a multi-temporal sense throughout the growing season.
机译:农民和消费者对可持续农业的支持日益增加,这是由于更密集的农业实践引起环境和社会经济问题的加剧。特定地点的作物管理是可持续农业的重要组成部分,在其中遥感可以发挥不可或缺的作用。作为国家研究项目的一部分,在萨斯喀彻温省的一个农场上采集了田野和图像数据,以展示针对农民的实地农业优势。这项研究涉及使用光谱混合分析(SMA)从机载高光谱图像估算作物生物物理参数,这是一种相对较新的亚像素级图像处理方法,可以得出阳光下的冠层,土壤和阴影的比例,这有助于像素的反射率。使用生长季早期获得的Probe-1图像预测三种作物类型(豌豆,小麦和油菜籽)的SMA在预测叶面积指数(LAI)和生物量方面比常规植被指数稍好。还确定了SMA的其他潜在优势,得出的结论是,有必要进行进一步的研究,以评估整个生长季节中多时间意义上SMA的全部潜力。

著录项

  • 作者

    Rabe, Nicole J.;

  • 作者单位

    University of Lethbridge (Canada).;

  • 授予单位 University of Lethbridge (Canada).;
  • 学科 Physical Geography.; Agriculture Agronomy.; Remote Sensing.
  • 学位 M.Sc.
  • 年度 2003
  • 页码 194 p.
  • 总页数 194
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;农学(农艺学);遥感技术;
  • 关键词

  • 入库时间 2022-08-17 11:45:48

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