Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)-Reference-Cited by-同舟云学术

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Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)

Published:2013-04 Issue: Volume:171-172 Page:281-294
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Zarco-Tejada P.J.,Guillén-Climent M.L.,Hernández-Clemente R.,Catalina A.,González M.R.,Martín P.

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference52 articles.

1. Thermal and narrow-band multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle;Berni;IEEE Trans. Geosci. Remote Sens.,2009

2. Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery;Berni;Remote Sens. Environ.,2009

3. Quantifying chlorophylls and carotenoids at leaf and canopy scales: an evaluation of some hyperspectral approaches;Blackburn;Remote Sens. Environ.,1998

4. Optical properties of intact leaves for estimating chlorophyll concentration;Carter;J. Environ. Qual.,2002

5. Ratio analysis of reflectance spectra (RARS): an algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybean leaves;Chappelle;Remote Sens. Environ.,1992

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