Distinguishing Carotene and Xanthophyll Contents in the Leaves of Riparian Forest Species by Applying Machine Learning Algorithms to Field Reflectance Data-Reference-Cited by-同舟云学术

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Distinguishing Carotene and Xanthophyll Contents in the Leaves of Riparian Forest Species by Applying Machine Learning Algorithms to Field Reflectance Data

Published:2022-10-14 Issue: Volume: Page:43-77
ISSN:
Container-title:Advances in Remote Sensing for Forest Monitoring
language:
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Author:

Lassalle Guillaume,Fabre Sophie

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119788157.ch3

Reference112 articles.

1. Riparian trees genera identification based on leaf-on/leaf-off airborne laser scanner data and machine learning classifiers in northern France

2. A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses

3. Improved resolution of mono‐ and divinyl chlorophylls a and b and zeaxanthin and lutein in phytoplankton extracts using reverse phase C‐8 HPLC;Barlow R.G.;Marine Ecology Progress Series,1996

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