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Detecting tree water deficit by very low altitude remote sensing

Hilaire Martin (1)   , Sylvain Labbé (2), Patrick Baldet (1), Frédéric Archaux (1), Gwénaël Philippe (1)

iForest - Biogeosciences and Forestry, Volume 10, Issue 1, Pages 215-219 (2017)
doi: https://doi.org/10.3832/ifor1690-009
Published: Feb 11, 2017 - Copyright © 2017 SISEF

Technical Reports


In a context of climate change and expected increasing drought frequency, it is important to select tree species adapted to water deficit. Experimentation in tree nurseries makes it possible to control for various factors such as water supply. We analyzed the spectral responses for two genetic varieties of Douglas fir sapling exposed to different levels of water deficit. Our results show that the mean NDVI derived from remote sensing at very low altitudes clearly differentiated stress levels while genetic varieties were partially distinguished.

  Keywords


Very Low Altitude Remote Sensing, Water Deficit, Variety, Douglas Fir

Authors’ address

(1)
Hilaire Martin
Patrick Baldet
Frédéric Archaux
Gwénaël Philippe
IRSTEA National Research Institute of Science and Technology for Environment and Agriculture, Domaine des Barres, F-45290 Nogent-sur-Vernisson (France)
(2)
Sylvain Labbé
IRSTEA, National Research Institute of Science and Technology for Environment and Agriculture, 361 rue J.F. Breton, BP 5095, F-34196 Montpellier Cedex 5 (France)

Corresponding author

 
Hilaire Martin
hilaire.martin@irstea.fr

Citation

Martin H, Labbé S, Baldet P, Archaux F, Philippe G (2017). Detecting tree water deficit by very low altitude remote sensing. iForest 10: 215-219. - doi: 10.3832/ifor1690-009

Academic Editor

Giorgio Matteucci

Paper history

Received: Apr 27, 2015
Accepted: Nov 16, 2016

First online: Feb 11, 2017
Publication Date: Feb 28, 2017
Publication Time: 2.90 months

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