<ja:p>The development of airborne laser scanning (ALS) during last ten years has provided new possibilities for accurate description the living tree stock. The forest inventory applications ALS data include both and area-based plot level approaches. main goal such usually been to estimate information on timber quantities. Prediction quality not focused same extent. Thus, in this study we consider here prediction basic attributes (tree diameter, height volume) characteristics describing more...

Airborne laser scanning based forest inventories employ two major methods: individual tree detection (ITD) and the area-based statistical approach (ABSA). ITD is on assumption that trees are of a certain form can be delineated using airborne techniques, whereas ABSA an empirical method relations between area-level attributes echo height distributions. These methods compared here within same test area in terms their usefulness for estimating mean stand characteristics size All evaluations...

Abstract The customer-oriented wood procurement chain from forest to raw material user starts with a knowledge of stands available for harvesting and information on these marked stands. Despite several studies, no adequate method has been developed obtaining preharvest measurement meet existing requirements. aim here was develop the stand based single tree detection airborne laser scanning. trees were detected high-density scanning data using automatic procedures, their dbh estimated either...

<ja:p>The low-density airborne laser scanning (ALS) data based estimation methods have been shown to produce accurate estimates of mean forest characteristics and diameter distributions, according several studies. The used on the canopy height distribution approach, where various pulse -derived predictors are related stand interest. This approach requires very delicate selection for selecting suitable predictor variables. In this study, we introduce a new nearest neighbor search method that...

Abstract The spatial pattern of trees can be defined as a property their location in relation to each other. In this study, the was summarized into three categories, regular, random, and clustered, using Ripley's L-function. study carried out at 79 sample plots located managed forest Finland. goal how well predicted by airborne laser scanning (ALS) data. ALS-derived predictions were based upon individual tree detection (ITD), semi-individual (semi-ITD), plot-level metrics calculated from...

Uncertainties in estimation of albedo-related radiative forcing cause ambiguity evaluation net climate effects forests and forest management. Numerous studies have reported local relations between structure albedo the boreal zone. However, more research is needed to establish these for geographically extensive areas, examine seasonal courses understand on mean annual shortwave energy balance. Remote sensing a viable option accomplishing goals, but there are many challenges related e.g. long...

The aim of the study was to develop a new method use tree stem information recorded by harvesters along operative logging in remote sensing-based prediction forest inventory attributes mature stands. reference sample plots were formed from harvester data, using two different positions: positions (XYH) global satellite navigation system and computationally improved head (XYHH). Study materials consisted 158 Norway-spruce-dominated stands located Southern Finland that clear-cut during 2015–16....

Biomass stored in young forests has enormous potential for the reduction of fossil fuel consumption. However, to ensure long-term sustainability, measurement accuracy tree height is crucial forest biomass and carbon stock monitoring, particularly forests. Precise using traditional field measurements challenging time consuming. Remote sensing (RS) methods can, however, replace field-based inventory. In our study, we compare individual estimation from Light Detection Ranging (LiDAR) Digital...

Consistent, detailed and up-to-date forest resource information is required for allocation of forestry activities national international reporting obligations. We evaluated the stand attribute prediction accuracy when radargrammetry was used to derive height from TerraSAR-X stereo imagery. Radargrammetric elevations were normalized heights above ground using an airborne laser scanning (ALS)-derived digital terrain model (DTM). Derived metrics as predictors in most similar neighbor (MSN)...

<ja:p>Information on forest trafficability (i.e. carrying capacity of the floor) is required before harvesting operations in Southern Boreal conditions. It describes seasons when may take place without causing substantial damage to soil using standard logging machinery. The available information have been based subjective observations made during wood procurement planning. For supporting operations, an open access map product has developed provide forests. stands are distributed into classes...

<ja:p>Airborne laser scanning based forest inventories have recently shown to produce accurate results. However, the accuracy varies according test area and used methodology therefore, an unambiguous practical quality assessment will be needed as a part of each inventory project. In this study, ALS was evaluated with field sampling control inventory. The agreement between analysed four methods: 1) root mean square error (RMSE) bias, 2) scatter plots 95% confidence intervals, 3) Bland-Altman...

Forest measurement for purposes like harvesting planning, biomass estimation and mitigating climate change through carbon capture by forests call increasingly frequent forest campaigns that need to balance cost with accuracy precision. Often this implies the use of remote sensing based methods. For any remote-sensing methods be accurate, they must validated against field data. We present a method combines measurements two layers data: sampling airborne laser scanning (LiDAR) Landsat imagery....

In Finland, forest site types are used to assess the need of silvicultural operations and growth potential forests and, therefore, provide important inventory information. This study introduces airborne laser scanner (ALS) data k-NN classifier analysis technique applicable quality assessment mature forests. Both echo height intensity value percentiles different ALS were in analysis. The 274 stands sizes, belonging five types, varying from very fertile poor forests, Koli National Park,...

A tree list is a of trees in the area interest containing, for example, species, diameter, height, and stem volume each tree. Tree lists can be used to derive various characteristics growing stock, are therefore versatile informative sources data several forest management purposes. Especially heterogonous unmanaged structures with multiple estimates imputed from local reference field provide an alternative mean value stock (e.g., basal area, total volume, number trees). In this study, plots,...

Airborne laser scanning (ALS) based stand level forest inventory has been used in Finland and other Nordic countries for several years. In the Russian Federation, ALS is not extensively purposes, despite a long history of research into use lasers measurement that dates back to 1970s. Furthermore, there also no generally accepted ALS-based methodology meets official requirements Federation. this paper, method developed Finnish conditions applied Perm region Russia. Sparse Bayesian regression...

The aim of this paper was to examine the potential Ikonos satellite images for estimating boreal forest stand characteristics using frequency distributions radiometric values. spectral features selected use in estimation were medians, standard deviations, and parameters two-parametric Weibull distribution derived from standwise histograms image. Ancillary map information, such as land-use peatland classes, also included. method non-parametric k-most similar neighbors (K-MSN) method. most...

Where airborne laser scanning (ALS) measures the entire aboveground vegetation, target of a stand-level forest inventory is usually living tree stock above given diameter but excluding standing dead trees. The aim here was to investigate effects varying field-measured minimum diameters (3–10 cm) and wood on ALS-based inventories. characteristics considered in this case were volume, basal area, number stems, mean diameter, height for each species, as well total growing biomass. field data...

ALS-based inventory methods are replacing traditional field inventories in the production of stand-level data for operative and management purposes. Despite advances made species-specific mean stand variables, ALS has not succeeded providing accurate growing stock descriptions wood procurement planning, example, containing information on tree quality, size distribution logs timber assortment classes. The aim this thesis is to evaluate develop predicting distributions recoveries. experimental...

<ja:p>Nearly 30% of Finland’s land area is covered by peatlands. In Northern parts the country there a significant amount low-productive drained peatlands (LPDPs) where average annual stem volume growth less than 1 m ha. The re-use LPDPs has been considered thoroughly since Finnish forest legislation was updated and regeneration prerequisite removed from in January 2014. Currently, forestry one alternatives, thus detailed resource information required for allocating activities. However,...

Participatory forest monitoring has been promoted as a means to engage local forest-dependent communities in concrete climate mitigation activities it brings sense of ownership the and hence increases likelihood success preservation measures. However, sceptics this approach argue that community members will not easily attain level technical proficiency accurate needs. Thus is interesting establish if can such proficiency. This paper addresses issue by assessing robustness biomass estimation...

The study considers a forest inventory for the mean volume, basal area, and coniferous/deciduous mapping of large territory in central Siberia (Russia), employing camera relascope at arbitrary sized sample plots medium resolution satellite imagery Landsat 8 from leaf-on leaf-off seasons. research bases are on field data that acquired real operational inventory, performed industrial purposes during summer–fall 2015. Sparse Bayesian regression was used to estimate linear models between...

The methodology presented here can assist in making timber markets more efficient when assessing the value of harvestable stands and amounts assortments during planning harvesting operations. Information on wood quality is essential for valuation procurement as varying dimensions qualities may be utilized refined different places, including sawmills, plywood mills, pulp heating plants or combined heat power plants. We investigate alternative approaches generating detailed Norway spruce...