Abstract
Dendrometers are devices which measure the stem radius of a tree continuously. We studied the use of logistic and generalised logistic models for exploring dendrometer data and for automatically determining the onset and cessation dates of radial increase. We used data measured in two stands in southern Finland to test the performance of the models. In the detection task, the generalised logistic models performed well compared to earlier approaches. In addition, the exploratory analysis revealed distinct differences between growth patterns of trees in different calendar years.
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Brewer, M.J., Sulkava, M., Mäkinen, H., Korpela, M., Nöjd, P., Hollmén, J. (2011). Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase. In: Yin, H., Wang, W., Rayward-Smith, V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011. Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23878-9_25
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DOI: https://doi.org/10.1007/978-3-642-23878-9_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23877-2
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