Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars-Reference-Cited by-同舟云学术

Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars

Published:2011-10 Issue:1 Volume:124 Page:74-84
ISSN:0378-4290
Container-title:Field Crops Research
language:en
Short-container-title:Field Crops Research

Author:

Erdle Klaus,Mistele Bodo,Schmidhalter Urs

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference47 articles.

1. Spectral vegetation indices as nondestructive tools for determining durum wheat yield;Aparicio;Agron. J.,2000

2. Relationship between growth traits and spectral vegetation indices in durum wheat;Aparicio;Crop Sci.,2002

3. Introduction to Remote Sensing;Campbell,2002

4. Analysis of the Interaction of Nitrogen Application and Stripe Rust Infection in Wheat Using In Situ Proximal and Remote Sensing Techniques;Devadas,2009

5. Characterizing vegetation indices derived from active and passive sensors;Fitzgerald;Int. J. Remote Sens.,2010

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