This special issue contains six papers on emerging quantitative methods for handling missing data in forest ecology and management. The papers exemplify that imputation methods can combine remote sensing and field data, models extend observations across space and time, and current research methods...
Author(s)
Barrett, T. M.; Maltamo, M.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Forest Ecology and Management, 2012, 272, pp 1-68
Photogrammetric point clouds obtained with unmanned aircraft systems (UAS) have emerged as an alternative source of remotely sensed data for small area forest management inventories (FMI). Nonetheless, it is often overlooked that small area FMI require considerable field data in addition to UAS...
Author(s)
Kukkonen, M.; Kotivuori, E.; Maltamo, M.; Korhonen, L.; Packalen, P.
Publisher
Finnish Society of Forest Science, Helsinki, Finland
Citation
Silva Fennica, 2021, 55, 1,
Drone applications are becoming increasingly common in the arena of forest management and forest inventories. In particular, the use of photogrammetrically derived drone-based image point clouds (DIPC) in individual tree detection has become popular. Use of an area-based approach (ABA) in small...
Author(s)
Kotivuori, E.; Kukkonen, M.; Mehtätalo, L.; Maltamo, M.; Korhonen, L.; Packalen, P.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Remote Sensing of Environment, 2020, 237,
Forest management inventories (FMIs) provide critical information, usually at the stand level, for forest management planning. A typical FMI includes (i) the delineation of the inventory area to stands by applying auxiliary information; (ii) the classification of the stands according to categorical ...
Author(s)
Maltamo, M.; Packalen, P.; Kangas, A.
Publisher
NRC Research Press, Ottawa, Canada
Citation
Canadian Journal of Forest Research, 2020, 51, 2, pp 257-266
Airborne Laser Scanning (ALS) results in point-wise measurements of canopy height, which can further be used for Individual Tree Detection (ITD). However, ITD cannot find all trees because small trees can hide below larger tree crowns. Here we discuss methods where the plot totals and means of...
Author(s)
Mehtätalo, L.; Yazigi, A.; Kansanen, K.; Packalen, P.; Lähivaara, T.; Maltamo, M.; Myllymäki, M.; Penttinen, A.
Publisher
Elsevier Ltd, Oxford, UK
Citation
International Journal of Applied Earth Observation and Geoinformation, 2022, 112,
Most forest growth studies using airborne laser scanning (ALS) consider how the changes in forest attributes are observed in repeated ALS data acquisitions, but the prediction of future forest growth from ALS data is still a rarely discussed topic. This study examined the prediction of the periodic ...
Author(s)
Maltamo, M.; Vartiainen, P.; Packalen, P.; Korhonen, L.
Publisher
Canadian Science Publishing, Ottowa, Canada
Citation
Canadian Journal of Forest Research, 2022, 52, 4, pp 644-651
Compared with traditional inventory methods based on field plot sampling, airborne laser scanning (ALS) has the potential to assess forest structural properties with greater detail over space and time and at lower cost. Many national ALS survey programmes covering entire countries for topographic...
Author(s)
Valbuena, R.; Maltamo, M.; Packalen, P.
Publisher
Oxford University Press, Oxford, UK
Citation
Forestry (Oxford), 2016, 89, 4, pp 392-401
Background: The aim of this study was to construct a nationwide stand age model by using National Forest Inventory (NFI) data and nationwide airborne laser scanning (ALS) data. In plantation forestry, age is usually known. While this is not the case in boreal managed forests, age is still seldom...
Author(s)
Maltamo, M.; Kinnunen, H.; Kangas, A.; Korhonen, L.
Publisher
SpringerOpen, Berlin, Germany
Citation
Forest Ecosystems, 2020, 7, 44, pp (5 July 2020)
Today, forest scenario analyses often require spatially comprehensive data. This is due to increasing needs to provide broad-scale descriptions of the consequences of different forest management regimes, encompassing issues with a clear spatial dimension such as biodiversity and recreation. Thus,...
Author(s)
Barth, A.; Lind, T.; Ståhl, G.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Forest Ecology and Management, 2012, 272, pp 61-68
This study examines the alternatives to include crown base height (CBH) predictions in operational forest inventories based on airborne laser scanning (ALS) data. We studied 265 field sample plots in a strongly pine-dominated area in northeastern Finland. The CBH prediction alternatives used...
Author(s)
Maltamo, M.; Karjalainen, T.; Repola, J.; Vauhkonen, J.
Publisher
Finnish Society of Forest Science, Helsinki, Finland
Citation
Silva Fennica, 2018, 52, 3, pp article id 10006