Zobrazeno 1 - 10
of 483
pro vyhledávání: '"Packalen, P."'
Autor:
Kelley A. Packalen, Kate Rowbotham
Publikováno v:
International Journal for Educational Integrity, Vol 20, Iss 1, Pp 1-27 (2024)
Abstract Using multivariate regression, we identified situational, personal and contextual variables correlated with business students’ self-reported rates of academic misconduct. The most influential predictors of increasing academic misconduct we
Externí odkaz:
https://doaj.org/article/d19beeeb4088410696d091713c59e9a1
Autor:
Mikko Kukkonen, Mari Myllymäki, Janne Räty, Petri Varvia, Matti Maltamo, Lauri Korhonen, Petteri Packalen
Publikováno v:
Annals of Forest Science, Vol 81, Iss 1, Pp 1-13 (2024)
Abstract Key message Data acquisition of remote sensing products is an essential component of modern forest inventories. The quality and properties of optical remote sensing data are further emphasised in tree species-specific inventories, where the
Externí odkaz:
https://doaj.org/article/719169f0f1a0404d9acd82629be48372
Autor:
Varvia, Petri, Saarela, Svetlana, Maltamo, Matti, Packalen, Petteri, Gobakken, Terje, Næsset, Erik, Ståhl, Göran, Korhonen, Lauri
The ICESat-2, launched in 2018, carries the ATLAS instrument, which is a photon-counting spaceborne lidar that provides strip samples over the terrain. While primarily designed for snow and ice monitoring, there has been a great interest in using ICE
Externí odkaz:
http://arxiv.org/abs/2307.04497
Publikováno v:
Metsätieteen aikakauskirja, Vol 2024 (2024)
Externí odkaz:
https://doaj.org/article/3755125a1d704280b95c25f0adda804d
Autor:
Lauri Korhonen, Kalle Kärhä, Matti Maltamo, Jukka Malinen, Juha Hyyppä, Harri Kaartinen, Janne Toivonen, Petteri Packalen, Matti Koivula
Publikováno v:
Metsätieteen aikakauskirja, Vol 2024 (2024)
Tässä kirjallisuuskatsauksessa tarkastellaan, millaista metsien monimuotoisuutta kuvaavaa tietoa voidaan saada nykyaikaisen kaukokartoitus- ja sensoritekniikan avulla. Käsittely keskittyy Suomeen, Ruotsiin ja Norjaan, missä metsät, ilmasto-olot
Externí odkaz:
https://doaj.org/article/3dc2103ed223430cb7f98d8dd5a0b0ee
Autor:
Rosemary Lysaght, Kelley Packalen, Terry Krupa, Lori Ross, Agnieszka Fecica, Michael Roy, Kathy Brock
Publikováno v:
Canadian Journal of Nonprofit and Social Economy Research, Vol 15, Iss 1 (2024)
People with serious and persistent mental illnesses and/or substance use disorders are among the most economically and socially disenfranchised populations in Canada, and often present with long histories of labour market detachment and underemployme
Externí odkaz:
https://doaj.org/article/602289ec3bee41078fccf5c9118efd33
Publikováno v:
Silva Fennica, Vol 58, Iss 3 (2024)
Uncrewed aerial vehicles (UAV) have great potential for use in forest inventories, but in practice they can be expensive for relatively small inventory areas as a large number of field measurements are needed for model construction. One proposed solu
Externí odkaz:
https://doaj.org/article/4e17926e946e436180e4b2a48351bc6d
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101563- (2023)
Gaussian process regression (GPR) is a non-parametric kernel-based machine learning method. GPR is based on Bayesian formalism, which enables the estimation of prediction uncertainty of the response variables. We propose an R package that provides an
Externí odkaz:
https://doaj.org/article/62e9eaa72fe648a681b579ea54a44e88
Autor:
Ranjith Gopalakrishnan, Lauri Korhonen, Matti Mõttus, Miina Rautiainen, Aarne Hovi, Lauri Mehtätalo, Matti Maltamo, Heli Peltola, Petteri Packalen
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100098- (2023)
The forest reflectance and transmittance model (FRT) is applicable over a wide swath of boreal forest landscapes mainly because its stand-specific inputs can be generated from standard forest inventory variables. We quantified the accuracy of this mo
Externí odkaz:
https://doaj.org/article/eff83ea8d31c4b25a70dd51a94df56ca
Publikováno v:
In Remote Sensing of Environment 1 December 2023 298