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Editorial

Remote and Proximal Assessment of Plant Traits

1
The Robert H. Smith Institute for Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, P.O. Box 12, Rehovot 7610001, Israel
2
Department of Geography, Ludwig-Maximilians-Universität München (LMU), Luisenstr. 37, 80333 Munich, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(10), 1893; https://doi.org/10.3390/rs13101893
Received: 6 May 2021 / Accepted: 11 May 2021 / Published: 12 May 2021
(This article belongs to the Special Issue Remote and Proximal Assessment of Plant Traits)
Note: In lieu of an abstract, this is an excerpt from the first page.

The inference of functional vegetation traits from remotely sensed signals is key to providing efficient information for multiple plant-based applications and to solve related problems [...] View Full-Text
MDPI and ACS Style

Herrmann, I.; Berger, K. Remote and Proximal Assessment of Plant Traits. Remote Sens. 2021, 13, 1893. https://doi.org/10.3390/rs13101893

AMA Style

Herrmann I, Berger K. Remote and Proximal Assessment of Plant Traits. Remote Sensing. 2021; 13(10):1893. https://doi.org/10.3390/rs13101893

Chicago/Turabian Style

Herrmann, Ittai, and Katja Berger. 2021. "Remote and Proximal Assessment of Plant Traits" Remote Sensing 13, no. 10: 1893. https://doi.org/10.3390/rs13101893

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