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Junttila, S. Using multispectral terrestrial lidar to detect leaf water content variation - towards non-destructive leaf water potential measurements Talk
S. Junttila1, T. Hölttä1, M. Holopainen1, M. Vastaranta2 and J. Hyyppä3
(1) Department of Forest Sciences, University of Helsinki, Finland(2) School of Forest Sciences, University of Eastern Finland, Joensuu, Finland(3) Finnish Geospatial Research Institute (FGI), National Land Survey, Kirkkonummi, Finland

Climate change is causing novel stress to forests at unpresented intensities. Drought has already caused widespread tree mortality and forest fires globally. Understanding the effects of altered water availability requires accurate modelling of plant hydraulics at several scales. The development of such models requires rigorous parametrization and careful testing against observations, thus, multi-scale observations of plant water content are urgently needed. Multispectral lidar can provide highly detailed measurements of tree structure and reflectance simultaneously enabling novel approaches for the detection of leaf water content (LWC). We have shown that LWC can be accurately assessed at leaf and branch-level, but a single estimate of LWC has limited applicability in understanding plant hydraulics. To reveal more subtle differences and variation in LWC, we have aimed to detect the diurnal variation in LWC within tree canopies with a time-series of multispectral lidar measurements. Thus, we have measured two Scots pines (Pinus sylvestris) and one Silver birch (Betula pendula) with multispectral terrestrial lidar at 15 time-intervals during 48 hours coupled with LWC, leaf water potential measurements and accurate dendrometers to reveal the diurnal variation in LWC within tree canopies. We present the first results of this study.