Quantifying dwarf shrub biomass in an arid environment: comparing empirical methods in a high dimensional setting-Reference-Cited by-同舟云学术

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Quantifying dwarf shrub biomass in an arid environment: comparing empirical methods in a high dimensional setting

Published:2015-03 Issue: Volume:158 Page:140-155
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zandler H.,Brenning A.,Samimi C.

Funder

Volkswagen Foundation

Universität Heidelberg

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference94 articles.

1. Aqua AIRS Level 3 Daily Standard Physical Retrieval (AIRS+AMSU), version 006;AIRS Science Team,2013

2. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations;Asner;International Journal of Remote Sensing,2002

3. Impact of tissue, canopy, and landscape factors on the hyperspectral reflectance variability of arid ecosystems;Asner;Remote Sensing of Environment,2000

4. A review of vegetation indices;Bannari;Remote Sensing Reviews,1995

5. Use of logarithmic regression in the estimation of plant biomass;Baskerville;Canadian Journal of Forest Research,1972

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