Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
412822 | Neurocomputing | 2010 | 8 Pages |
Abstract
Dendrometers are devices, which measure continuously the stem radius of a tree. We studied the use of four data analysis methods for automatically and, thus, objectively determining the onset and cessation dates of radial increase based on dendrometer data. The cumulative sum chart, time series segmentation, Mann-Kendall test, and a Markov switching autoregressive model were compared. We used data measured in two stands in southern Finland to test the performance of the methods. Once configured properly, the cumulative sum chart produced results similar to those determined by an expert. The overall performance of the other methods was lower.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava,