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Detecting tree water deficit by very low altitude remote sensing

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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https://hal.inrae.fr/hal-02605994
Contributor : Migration Irstea Publications <>
Submitted on : Saturday, May 16, 2020 - 11:44:40 AM
Last modification on : Tuesday, May 11, 2021 - 1:00:04 PM

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H. Martin, Sylvain Labbé, Patrick Baldet, Frédéric Archaux, G. Philippe. Detecting tree water deficit by very low altitude remote sensing. iForest: Biogeosciences and Forestry, Italian Society of Silviculture and Forest Ecology, 2017, 10, pp.215-219. ⟨10.3832/ifor1690-009⟩. ⟨hal-02605994⟩

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