Terrestrial laser scanning intensity captures diurnal variation in leaf water potential

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dc.contributor.author Junttila, Samuli
dc.contributor.author Hölttä, Teemu
dc.contributor.author Puttonen, Eetu
dc.contributor.author Katoh, Masato
dc.contributor.author Vastaranta, Mikko
dc.contributor.author Kaartinen, Harri
dc.contributor.author Holopainen, Markus
dc.contributor.author Hyyppä, Hannu
dc.date.accessioned 2021-01-15T14:28:08Z
dc.date.available 2021-01-15T14:28:08Z
dc.date.issued 2021
dc.identifier.issn 0034-4257
dc.identifier.issn 1879-0704
dc.identifier.uri http://hdl.handle.net/10138/324684
dc.description.abstract During the past decades, extreme events have become more prevalent and last longer, and as a result drought-induced plant mortality has increased globally. Timely in-formation on plant water dynamics is essential for under-standing and anticipating drought-induced plant mortality. Leaf water potential (ΨL), which is usually measured de-structively, is the most common metric that has been used for decades for measuring water stress. Remote sensing methods have been developed to obtain information on water dynamics from trees and forested landscapes. However, the spatial and temporal resolutions of the existing methods have limited our understanding of the water dynamics and diurnal variation of ΨL within single trees. Thus, we investi-gated the capability of terrestrial laser scanning (TLS) in-tensity in observing diurnal variation in ΨL during a 50-h monitoring period. We aimed to improve the understanding on how large a part of the diurnal variation in ΨL can be captured using TLS intensity observations. We found that TLS intensity at the 905 nm wavelength measured from a static position was able to explain 77% of the variation in ΨL for three trees of two tree species with a root mean square error of 0.141 MPa. Based on our experiment with three trees, a time series of TLS intensity measurements can be used in detecting changes in ΨL, and thus it is worthwhile to expand the investigations to cover a wider range of tree species and forests and further increase our understanding of plant water dynamics at wider spatial and temporal scales. fi
dc.language.iso en fi
dc.publisher Elsevier fi
dc.relation.ispartofseries Remote Sensing of Environment fi
dc.subject leaf water potential fi
dc.subject lidar intensity fi
dc.subject terrestrial laser scanning fi
dc.subject diurnal variation fi
dc.subject leaf water content fi
dc.subject drought fi
dc.subject tree health fi
dc.subject plant water dynamics fi
dc.title Terrestrial laser scanning intensity captures diurnal variation in leaf water potential fi
dc.type Article fi
dc.format.volume 255 fi

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