Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra-Reference-Cited by-同舟云学术

Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra

Published:2023-12-18 Issue:1 Volume:57 Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Neuwirthová Eva¹^ORCID,Lhotáková Zuzana¹^ORCID,Červená Lucie²^ORCID,Lukeš Petr³^ORCID,Campbell Petya⁴^ORCID,Albrechtová Jana¹^ORCID

Affiliation:

1. Department of Experimental Plant Biology, Faculty of Science, Charles University, Prague, Czech Republic

2. Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Prague, Czech Republic

3. Global Change Research Institute, Czech Academy of Sciences, Brno, Czech Republic

4. NASA Goddard Space Flight Center; Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland Baltimore County, Greenbelt, MD, USA

Funder

Ministry of Education Youth and Sports

National Aeronautics and Space Administration

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2023.2292154

Reference76 articles.

1. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

2. Quantifying arsenic-induced morphological changes in spinach leaves: implications for remote sensing

3. The Spatial Distribution of Chlorophyll in Leaves

4. Structural organization of the spongy mesophyll

5. A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression

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