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The impact of soil properties on soi...
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University of Colorado at Boulder., Geology.
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The impact of soil properties on soil NDVI and the quantification of the green vegetation fraction.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The impact of soil properties on soil NDVI and the quantification of the green vegetation fraction./
Author:
Montandon, Laure Marie.
Description:
140 p.
Notes:
Adviser: Eric E. Tilton.
Contained By:
Dissertation Abstracts International70-04B.
Subject:
Environmental Sciences. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354617
ISBN:
9781109117042
The impact of soil properties on soil NDVI and the quantification of the green vegetation fraction.
Montandon, Laure Marie.
The impact of soil properties on soil NDVI and the quantification of the green vegetation fraction.
- 140 p.
Adviser: Eric E. Tilton.
Thesis (Ph.D.)--University of Colorado at Boulder, 2009.
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 0.2
ISBN: 9781109117042Subjects--Topical Terms:
676987
Environmental Sciences.
The impact of soil properties on soil NDVI and the quantification of the green vegetation fraction.
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140 p.
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Adviser: Eric E. Tilton.
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Thesis (Ph.D.)--University of Colorado at Boulder, 2009.
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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 0.2
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354617
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