Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops-Reference-Cited by-同舟云学术

Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops

Published:2019-09 Issue: Volume:231 Page:110898
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Jay Sylvain^ORCID,Baret Frédéric,Dutartre Dan,Malatesta Ghislain,Héno Stéphanie,Comar Alexis,Weiss Marie^ORCID,Maupas Fabienne

Funder

French National Research Agency

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference80 articles.

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3. Field high-throughput phenotyping: the new crop breeding frontier;Araus;Trends Plant Sci.,2014

4. Estimating canopy characteristics from remote sensing observations: review of methods and associated problems;Baret,2008

5. Estimation of leaf water content and specific leaf weight from reflectance and transmittance measurements;Baret;Agronomie,1997

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