Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Janne Räty"'
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
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
Publikováno v:
Annals of Forest Science, Vol 80, Iss 1, Pp 1-15 (2023)
Abstract Key message We studied size distributions of decay-affected Norway spruce trees using cut-to-length harvester data. The harvester data comprised tree-level decay and decay severity recordings from 101 final felling stands, which enabled to a
Externí odkaz:
https://doaj.org/article/4caac8d512654fab9d1723c183a67814
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102624- (2021)
Butt rot (BR) damage of a tree results from a decay caused by a pathogenic fungus. BR damages associated with Norway spruce (Picea abies [L.] Karst.) account for considerable economic losses in timber production across the northern hemisphere. While
Externí odkaz:
https://doaj.org/article/960b710386a44efcb1862c84d510acc0
Publikováno v:
Metsätieteen aikakauskirja, Vol 2020 (2020)
Externí odkaz:
https://doaj.org/article/e3f3137c0cbe4e4ebdbdf44b9932c3a1
Predicting factual sawlog volumes in Scots pine dominated forests using airborne laser scanning data
Publikováno v:
Silva Fennica, Vol 53, Iss 4 (2019)
The aim in the study was to compare alternatives for the prediction of factual sawlog volumes using airborne laser scanning (ALS) data in Scots pine (Pinus sylvestris L.) dominated forests in eastern Finland. Accurate estimates of factual sawlog volu
Externí odkaz:
https://doaj.org/article/d6e6b7e5f242450d8fb81a2176f67ab5
Publikováno v:
Forest Ecosystems, Vol 3 (2016)
Background: Tree species recognition is the main bottleneck in remote sensing based inventories aiming to produce an input for species-specific growth and yield models. We hypothesized that a stratification of the target data according to the domin
Externí odkaz:
https://doaj.org/article/cb85999ebfca49758d072f1de086211d
Autor:
Matti Maltamo, Janne Räty, Paula Soares, Jacob L. Strunk, Margarida Tomé, Diogo Nepomuceno Cosenza, Petri Varvia, Lauri Korhonen, Petteri Packalen
Publikováno v:
Canadian Journal of Forest Research. 52:385-395
Semi- and nonparametric models are popular in the area-based approach (ABA) using airborne laser scanning. It is unclear, however, how many predictors and training plots are needed to provide accurate predictions without overfitting. This work aims t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d093418ac9091546d67f53f000aceb0f
https://doi.org/10.1139/cjfr-2021-0192
https://doi.org/10.1139/cjfr-2021-0192
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Single-photon airborne light detection and ranging (LiDAR) systems provide high-density data from high flight altitudes. We compared single-photon and linear-mode airborne LiDAR for the prediction of species-specific volumes in boreal coniferous-domi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::367f625e8a00dda4a0830e93427de511
https://doi.org/10.1109/tgrs.2021.3060670
https://doi.org/10.1109/tgrs.2021.3060670
Publikováno v:
Canadian Journal of Forest Research. 50:113-125
An area-based approach (ABA) is the most common method used to predict forest attributes with airborne laser scanning (ALS) data. Individual-tree detection (ITD) offers an alternative to ABA; however, few studies have examined the selection of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1011cab5260462b0e4d183774122a12
https://doi.org/10.1139/cjfr-2019-0102
https://doi.org/10.1139/cjfr-2019-0102