Detecting tree water deficit by very low altitude remote sensing

iForest - Biogeosciences and Forestry

卷:10

Martin H¹  Baldet P¹  Philippe G¹  Archaux F¹  Labbé S² 

[1] IRSTEA National Research Institute of Science and Technology for Environment and Agriculture, Domaine des Barres, F-45290 Nogent-sur-Vernisson (France);

[2] 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);

关键词: Very Low Altitude Remote Sensing;    Water Deficit;    Variety;    Douglas Fir;   

DOI  :  10.3832/ifor1690-009

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown