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Detecting tree water deficit by very low altitude remote sensing

Authors
  • Martin, H.
  • Labbé, Sylvain
  • Baldet, Patrick
  • Archaux, Frédéric
  • Philippe, G.
Publication Date
Jan 01, 2017
Identifiers
DOI: 10.3832/ifor1690-009
OAI: oai:HAL:hal-02605994v1
Source
HAL-Descartes
Keywords
Language
English
License
Unknown
External links

Abstract

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.

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