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The impact of soil properties on soil NDVI and the quantification of the green vegetation fraction.

机译:土壤性质对土壤NDVI的影响和绿色植被分数的量化。

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摘要

Many applications use the Normalized Difference Vegetation Index (NDVI) to study vegetation and other ground components. Because soils cover most of the Earth's terrestrial surface, they constitute an important portion of the NDVI signal. In most cases, this contribution is ignored as the NDVI of soils (NDVIo) is considered to be very low (0.1) and invariant. Soil reflectance measurements gathered from various sources show, however, that most NDVIo are larger (mean NDVIo=0.17) and can vary significantly (standard deviation=0.07). We show that underestimating NDVIo yields overestimation of Fg that is the largest when 0.2 NDVIo yields overestimation of Fg that is the largest when 0.2NDVI0.4 over the studied area. Using a widely-used Fg model, we show that the Fg overestimation can be larger than 0.2 depending on the land cover type and the parameters used in the Fg model.
机译:许多应用程序使用归一化植被指数(NDVI)来研究植被和其他地面成分。由于土壤覆盖了地球的大部分地面,因此它们构成了NDVI信号的重要部分。在大多数情况下,由于土壤的NDVI(NDVIo)非常低(<0.1)且不变,因此忽略了这一贡献。但是,从各种来源收集的土壤反射率测量结果表明,大多数NDVIo较大(平均NDVIo = 0.17),并且可以有很大的变化(标准偏差= 0.07)。我们显示,在研究区域中,低估NDVIo会高估Fg,这是当0.2 NDVIo产生的高估Fg,这是当0.2

著录项

  • 作者

    Montandon, Laure Marie.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Environmental Sciences.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;遥感技术;
  • 关键词

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