Vegetation Index to estimate chlorophyll content from multispectral remote sensing data-Reference-Cited by-同舟云学术

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Vegetation Index to estimate chlorophyll content from multispectral remote sensing data

Published:2015-01 Issue:1 Volume:48 Page:319-326
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Carmona Facundo¹²,Rivas Raúl¹³,Fonnegra Diana C.⁴

Affiliation:

1. Universidad Nacional del Centro de la Provincia de Buenos Aires, Instituto de Hidrología de Llanuras, B7000 - Tandil, Argentina

2. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)

3. Comisión de Investigaciones Científicas (CIC)

4. Instituto de Altos Estudios Espaciales “Mario Gulich”, Comisión de Actividades Espaciales (CONAE), Ruta C45, Falda del Cañete, Córdoba, Argentina

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.5721/EuJRS20154818

Reference17 articles.

1. Nitrogen Deficiency Detection Using Reflected Shortwave Radiation from Irrigated Corn Canopies

2. The MERIS terrestrial chlorophyll index

3. Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance

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