Green area index from an unmanned aerial system over wheat and rapeseed crops-Reference-Cited by-同舟云学术

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Green area index from an unmanned aerial system over wheat and rapeseed crops

Published:2014-09 Issue: Volume:152 Page:654-664
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Verger Aleixandre,Vigneau Nathalie,Chéron Corentin,Gilliot Jean-Marc,Comar Alexis,Baret Frédéric

Funder

Airinov Company

INRA

Climate Knowledge and Innovation Communities

AgriUAV

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference54 articles.

1. Estimating canopy characteristics from remote sensing observations. Review of methods and associated problems;Baret,2007

2. GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5° zenith angle. Theoretical considerations based on 3D architecture models and application to wheat crops;Baret;Agricultural and Forest Meteorology,2010

3. Potentials and limits of vegetation indices for LAI and APAR assessment;Baret;Remote Sensing of the Environment,1991

4. Decentering distortion of lenses;Brown;Photogrammetric Engineering,1966

5. Evaluation of the information content of Medium Resolution Imaging Spectrometer (MERIS) data for regional leaf area index assessment;Canisius;Remote Sensing of Environment,2012

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