J
Jouni Kalliovirta
Researcher at University of Helsinki
Publications - 12
Citations - 432
Jouni Kalliovirta is an academic researcher from University of Helsinki. The author has contributed to research in topics: Forest inventory & Forest management. The author has an hindex of 8, co-authored 12 publications receiving 393 citations.
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Journal ArticleDOI
Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information
Jouni Kalliovirta,Timo Tokola +1 more
TL;DR: Investigation of the relations between diameter at breast height and maximum crown diameter, tree height and other possible independent variables available in stand databases found regional models reduced local error and gave better results than the general models.
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SIMO: An adaptable simulation framework for multiscale forest resource data
TL;DR: The article includes two use cases demonstrating the adaptability of the SIMO framework, which is available as open source software and connected through a common ontology, again defined in XML.
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Uncertainty in timber assortment estimates predicted from forest inventory data
Markus Holopainen,Mikko Vastaranta,Jussi Rasinmäki,Jouni Kalliovirta,Antti Mäkinen,Reija Haapanen,Timo Melkas,Xiaowei Yu,Juha Hyyppä +8 more
TL;DR: In this paper, the uncertainty factors related to inventory methodologies and forest-planning simulation computings in the estimation of logging outturn assortment volumes and values were examined, and the results showed that the most significant source of error in the prediction of clear-cutting assortment outturns was inventory error.
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Evaluation of the Laser-relascope
TL;DR: The second prototype of a new measuring device, the Laser-relascope, was tested under typical forest conditions as discussed by the authors, and the accuracy was dependent on the distance, the slot width, measuring time of a tree, and the diameter at breast height.
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Comparison of treewise and standwise forest simulators by means of quantile regression
TL;DR: This work compared the tree-level or stand-level growth models with the SIMO simulator framework in a small data set from southern Finland based on 60 sample plots in 30 stands, the development of which was known for 20 years.