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Silva Fennica 1926-1997
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Acta Forestalia Fennica
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Articles by Matti Maltamo

Category : Article

article id 5609, category Article
Matti Maltamo. (1997). Comparing basal area diameter distributions estimated by tree species and for the entire growing stock in a mixed stand. Silva Fennica vol. 31 no. 1 article id 5609. https://doi.org/10.14214/sf.a8510
Keywords: Pinus sylvestris; Norway spruce; Picea abies; Scots pine; dbh distribution; parameter prediction; Weibull distributions
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article id 5562, category Article
Janne Uuttera, Matti Maltamo. (1995). Impact of regeneration method on stand structure prior to first thinning. Comparative study North Karelia, Finland vs. Republic of Karelia, Russian Federation. Silva Fennica vol. 29 no. 4 article id 5562. https://doi.org/10.14214/sf.a9213
Keywords: natural regeneration; stand structure; artificial regeneration; potential biodiversity; regeneration strategy
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article id 5444, category Article
Kari T. Korhonen, Matti Maltamo. (1991). The evaluation of forest inventory designs using correlation functions. Silva Fennica vol. 25 no. 2 article id 5444. https://doi.org/10.14214/sf.a15598
Keywords: forest inventories; correlation analysis; correlograms; sampling error; spatial correlation,
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article id 5392, category Article
Pekka Kilkki, Matti Maltamo, Reijo Mykkänen, Risto Päivinen. (1989). Use of the Weibull function in estimating the basal area dbh-distribution. Silva Fennica vol. 23 no. 4 article id 5392. https://doi.org/10.14214/sf.a15550
Keywords: Picea abies; distribution; diameter; Weibull function; maximum likelihood; estimation
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Category : Editorial

article id 24069, category Editorial
Matti Maltamo. (2024). “The Final Cut”. Silva Fennica vol. 58 no. 5 article id 24069. https://doi.org/10.14214/sf.24069
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article id 24020, category Editorial
Matti Maltamo. (2024). What we pay attention to when we are in the forest? Silva Fennica vol. 58 no. 2 article id 24020. https://doi.org/10.14214/sf.24020
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article id 23005, category Editorial
Matti Maltamo. (2023). What does it actually mean to measure a sample plot in forest? Silva Fennica vol. 56 no. 4 article id 23005. https://doi.org/10.14214/sf.23005
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article id 10763, category Editorial
Matti Maltamo. (2022). Silva Fennica has improved publishing services by changing manuscript handling system. Silva Fennica vol. 56 no. 2 article id 10763. https://doi.org/10.14214/sf.10763
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article id 10711, category Editorial
Matti Maltamo. (2022). The persistently developing role of remote sensing in forest sciences. Silva Fennica vol. 56 no. 1 article id 10711. https://doi.org/10.14214/sf.10711
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article id 10643, category Editorial
Matti Maltamo. (2021). 100 years of national forest inventories. Silva Fennica vol. 55 no. 4 article id 10643. https://doi.org/10.14214/sf.10643
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article id 10452, category Editorial
Matti Maltamo. (2020). Re-searching the forests. Silva Fennica vol. 54 no. 4 article id 10452. https://doi.org/10.14214/sf.10452
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article id 10333, category Editorial
Matti Maltamo. (2020). Change of the Subject Editor in Silva Fennica. Silva Fennica vol. 54 no. 1 article id 10333. https://doi.org/10.14214/sf.10333
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article id 10164, category Editorial
Matti Maltamo. (2019). Silva Fennica in 2019. Silva Fennica vol. 53 no. 1 article id 10164. https://doi.org/10.14214/sf.10164
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Category : Climate resilient and sustainable forest management – Research article

article id 23042, category Climate resilient and sustainable forest management – Research article
Johanna Jääskeläinen, Lauri Korhonen, Mikko Kukkonen, Petteri Packalen, Matti Maltamo. (2024). Individual tree inventory based on uncrewed aerial vehicle data: how to utilise stand-wise field measurements of diameter for calibration? Silva Fennica vol. 58 no. 3 article id 23042. https://doi.org/10.14214/sf.23042
Keywords: laser scanning; calibration; mixed-effects model; single-tree detection
Highlights: A practical scheme to improve the accuracy of predicted tree and stand attributes in an uncrewed aerial vehicle based individual tree inventory; Accuracy was considerably improved with data from 2–4 sample trees from the target stand; Calibrated existing models and the construction of local models performed equally well; The laborious task of constructing a local model can be avoided by using a calibrated transferred model.
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Category : Research article

article id 24044, category Research article
Shaohui Zhang, Lauri Korhonen, Timo Nummenmaa, Simone Bianchi, Matti Maltamo. (2024). How to implement the data collection of leaf area index by means of citizen science and forest gamification? Silva Fennica vol. 58 no. 5 article id 24044. https://doi.org/10.14214/sf.24044
Keywords: forest canopy; crowdsourcing; hinge angle; plant area index; smartphones
Highlights: Citizen science and gamification are proposed for collecting in situ forest leaf area index data; LAI can be estimated by taking smartphone images of forest canopies at 57° zenith angle; Twenty smartphone images per plot are enough to obtain accurate LAI measurements; Additional images may be required in forests with dense or uneven canopy structure.
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article id 10515, category Research article
Alwin A. Hardenbol, Anton Kuzmin, Lauri Korhonen, Pasi Korpelainen, Timo Kumpula, Matti Maltamo, Jari Kouki. (2021). Detection of aspen in conifer-dominated boreal forests with seasonal multispectral drone image point clouds. Silva Fennica vol. 55 no. 4 article id 10515. https://doi.org/10.14214/sf.10515
Keywords: Populus tremula; deciduous trees; mixed forest; protected areas; tree species classification; unmanned aerial vehicles
Highlights: Four boreal tree species (Scots pine, Norway spruce, birches and European aspen) classified with an overall accuracy of 95%; Presence of European aspen detected with excellent accuracy (UA: 97%, PA: 96%); Late spring is the best time for species classification by remote sensing; Best time to separate aspen from birch was when birch had leaves, but aspen did not.
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article id 10360, category Research article
Mikko Kukkonen, Eetu Kotivuori, Matti Maltamo, Lauri Korhonen, Petteri Packalen. (2021). Volumes by tree species can be predicted using photogrammetric UAS data, Sentinel-2 images and prior field measurements. Silva Fennica vol. 55 no. 1 article id 10360. https://doi.org/10.14214/sf.10360
Keywords: forest inventory; satellite image; open data; drone; stereo matching; unmanned aircraft system
Highlights: A UAS-based species-specific forest inventory approach that avoids new field measurements is presented; Models were constructed using previously measured training plots and remotely sensed data; Bi-seasonal Sentinel-2 data were beneficial in the prediction of species-specific volumes; RMSE values associated with the prediction of volumes by tree species and total volume at the validation plot level were 33.4–62.6% and 9.0%, respectively.
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article id 10183, category Research article
Tomi Karjalainen, Petteri Packalen, Janne Räty, Matti Maltamo. (2019). Predicting factual sawlog volumes in Scots pine dominated forests using airborne laser scanning data. Silva Fennica vol. 53 no. 4 article id 10183. https://doi.org/10.14214/sf.10183
Keywords: Pinus sylvestris; area based approach; k-NN; sawlog
Highlights: We predicted visually bucked factual sawlog volumes at the 30 × 30 m plot-level with several alternatives; The lowest root mean squared error value of approximately 21% was obtained with a linear mixed-effects model that employed factual sawlog volume as a response variable and airborne laser scanning metrics as predictors; The sawlog reduction model commonly used in Finland performed poorly.
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article id 10179, category Research article
Lauri Korhonen, Jaakko Repola, Tomi Karjalainen, Petteri Packalen, Matti Maltamo. (2019). Transferability and calibration of airborne laser scanning based mixed-effects models to estimate the attributes of sawlog-sized Scots pines. Silva Fennica vol. 53 no. 3 article id 10179. https://doi.org/10.14214/sf.10179
Keywords: Pinus sylvestris; LIDAR; crown base height; hierarchical data; individual tree detection; sawlog quality
Highlights: Attributes of individual sawlog-sized pines estimated by transferring ALS-based models between sites; Mixed effects models were more accurate than k-NN imputation tested earlier; Calibration with a small number of field measured trees improved the accuracy.
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article id 10075, category Research article
Matti Maltamo, Marius Hauglin, Erik Naesset, Terje Gobakken. (2019). Estimating stand level stem diameter distribution utilizing harvester data and airborne laser scanning. Silva Fennica vol. 53 no. 3 article id 10075. https://doi.org/10.14214/sf.10075
Keywords: LIDAR; cut-to length harvester; GPS; merchantable volume; tree list
Highlights: Tree level-positioned harvester data were successfully used as plot-level training data for k-nearest neighbor stem diameter distribution modelling applying airborne laser scanning information as predictor variables; Stand-level validation showed that merchantable volume of total tree stock could be estimated with RMSE value of about 9%; The fit of the stem diameter distribution assessed by a variant of Reynold’s error index showed values smaller than 0.2; The most accurate results were obtained for the training plot sizes of 200 m2 and 400 m2.
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article id 10006, category Research article
Matti Maltamo, Tomi Karjalainen, Jaakko Repola, Jari Vauhkonen. (2018). Incorporating tree- and stand-level information on crown base height into multivariate forest management inventories based on airborne laser scanning. Silva Fennica vol. 52 no. 3 article id 10006. https://doi.org/10.14214/sf.10006
Keywords: forest inventory; LIDAR; alpha shape; crown height; nearest neighbor; mixed-effects model
Highlights: The most accurate tree-level alternative is to include crown base height (CBH) to nearest neighbour imputation; Also mixed-effects models can be applied to predict CBH using tree attributes and airborne laser scanning (ALS) metrics; CBH prediction can be included with an accuracy of 1–1.5 m to forest management inventory applications.
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article id 952, category Research article
Lauri Korhonen, Inka Pippuri, Petteri Packalén, Ville Heikkinen, Matti Maltamo, Juho Heikkilä. (2013). Detection of the need for seedling stand tending using high-resolution remote sensing data. Silva Fennica vol. 47 no. 2 article id 952. https://doi.org/10.14214/sf.952
Keywords: forest management; airborne laser scanning; logistic regression; seedling stand; tending; support vector machine
Abstract | Full text in HTML | Full text in PDF | Author Info
article id 68, category Research article
Maria Villikka, Petteri Packalén, Matti Maltamo. (2012). The suitability of leaf-off airborne laser scanning data in an area-based forest inventory of coniferous and deciduous trees. Silva Fennica vol. 46 no. 1 article id 68. https://doi.org/10.14214/sf.68
Keywords: forest inventory; group-specific estimates; leaf-off data; LIDAR
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article id 156, category Research article
Ilkka Korpela, Hans Ole Ørka, Matti Maltamo, Timo Tokola, Juha Hyyppä. (2010). Tree species classification using airborne LiDAR – effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type. Silva Fennica vol. 44 no. 2 article id 156. https://doi.org/10.14214/sf.156
Keywords: airborne laser scanning; ALS; laser; Optech ALTM3100; Leica ALS50-II; canopy; crown modeling; monoplotting; backscatter amplitude; intensity; discriminant analysis
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article id 164, category Research article
Aki Suvanto, Matti Maltamo. (2010). Using mixed estimation for combining airborne laser scanning data in two different forest areas. Silva Fennica vol. 44 no. 1 article id 164. https://doi.org/10.14214/sf.164
Keywords: airborne laser scanning; area-based method; mixed estimation; regression models
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article id 203, category Research article
Matti Maltamo, Jussi Peuhkurinen, Jukka Malinen, Jari Vauhkonen, Petteri Packalén, Timo Tokola. (2009). Predicting tree attributes and quality characteristics of Scots pine using airborne laser scanning data. Silva Fennica vol. 43 no. 3 article id 203. https://doi.org/10.14214/sf.203
Keywords: LIDAR; alpha shape; crown height; height metrics; k-MSN; timber quality
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article id 237, category Research article
Jussi Peuhkurinen, Matti Maltamo, Jukka Malinen. (2008). Estimating species-specific diameter distributions and saw log recoveries of boreal forests from airborne laser scanning data and aerial photographs: a distribution-based approach. Silva Fennica vol. 42 no. 4 article id 237. https://doi.org/10.14214/sf.237
Keywords: diameter distribution; non-parametric estimation; pre-harvest measurement; stem data bank
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article id 275, category Research article
Lauri Korhonen, Kari T. Korhonen, Pauline Stenberg, Matti Maltamo, Miina Rautiainen. (2007). Local models for forest canopy cover with beta regression. Silva Fennica vol. 41 no. 4 article id 275. https://doi.org/10.14214/sf.275
Keywords: beta regression; canopy cover; forest canopy
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article id 282, category Research article
Annika Kangas, Lauri Mehtätalo, Matti Maltamo. (2007). Modelling percentile based basal area weighted diameter distribution. Silva Fennica vol. 41 no. 3 article id 282. https://doi.org/10.14214/sf.282
Keywords: stand structure; diameter distribution; prediction; interpolation
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article id 333, category Research article
Lauri Mehtätalo, Matti Maltamo, Annika Kangas. (2006). The use of quantile trees in the prediction of the diameter distribution of a stand. Silva Fennica vol. 40 no. 3 article id 333. https://doi.org/10.14214/sf.333
Keywords: stand structure; inventory; percentile; order statistics
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article id 352, category Research article
Juha-Pekka Hotanen, Matti Maltamo, Antti Reinikainen. (2006). Canopy stratification in peatland forests in Finland. Silva Fennica vol. 40 no. 1 article id 352. https://doi.org/10.14214/sf.352
Keywords: succession; structural diversity; drainage; site type; canopy layer; crown coverage
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article id 522, category Research article
Annika Kangas, Matti Maltamo. (2002). Anticipating the variance of predicted stand volume and timber assortments with respect to stand characteristics and field measurements. Silva Fennica vol. 36 no. 4 article id 522. https://doi.org/10.14214/sf.522
Keywords: diameter distribution; timber assortment; prediction; calibration estimation; volume; accuracy; measurement combination
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article id 580, category Research article
Susanna Sironen, Annika Kangas, Matti Maltamo, Jyrki Kangas. (2001). Estimating individual tree growth with the k-nearest neighbour and k-Most Similar Neighbour methods. Silva Fennica vol. 35 no. 4 article id 580. https://doi.org/10.14214/sf.580
Keywords: pine; spruce; single tree growth models; non-parametric models; local estimates
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article id 579, category Research article
Matti Maltamo, Kalle Eerikäinen. (2001). The Most Similar Neighbour reference in the yield prediction of Pinus kesiya stands in Zambia. Silva Fennica vol. 35 no. 4 article id 579. https://doi.org/10.14214/sf.579
Keywords: stand development; difference equations; non-parametric regression; plantation forests
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article id 620, category Research article
Annika Kangas, Matti Maltamo. (2000). Performance of percentile based diameter distribution prediction and Weibull method in independent data sets. Silva Fennica vol. 34 no. 4 article id 620. https://doi.org/10.14214/sf.620
Keywords: stand structure; calibration estimation; Weibull function; diameter distribution prediction; distribution-free method; nearest neighbour method
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article id 619, category Research article
Annika Kangas, Matti Maltamo. (2000). Percentile based basal area diameter distribution models for Scots pine, Norway spruce and birch species. Silva Fennica vol. 34 no. 4 article id 619. https://doi.org/10.14214/sf.619
Keywords: stand structure; diameter distribution prediction; distribution-free method; rational spline
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Category : Research note

article id 310, category Research note
Timo Tahvanainen, Kalle Kaartinen, Timo Pukkala, Matti Maltamo. (2007). Comparison of approaches to integrate energy wood estimation into the Finnish compartment inventory system. Silva Fennica vol. 41 no. 1 article id 310. https://doi.org/10.14214/sf.310
Keywords: diameter distribution; thinnings; calibration estimation; compartment inventory
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