A5057544053- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Remote Sensing in Agriculture
- Forest Management and Policy
- 3D Surveying and Cultural Heritage
- Species Distribution and Climate Change
- Fire effects on ecosystems
- Land Use and Ecosystem Services
- Wildlife Ecology and Conservation
- Forest Biomass Utilization and Management
- Ecology and Vegetation Dynamics Studies
- Tree Root and Stability Studies
- Soil Geostatistics and Mapping
- Research in Social Sciences
- Archaeological Research and Protection
- Laser and Thermal Forming Techniques
- Point processes and geometric inequalities
- Additive Manufacturing Materials and Processes
- African Botany and Ecology Studies
- Rangeland and Wildlife Management
- Plant Water Relations and Carbon Dynamics
- Environmental Conservation and Management
- Seedling growth and survival studies
- Advanced Image Fusion Techniques
Natural Resources Institute Finland
2011-2025
University of Eastern Finland
2014-2023
University of Colorado Boulder
2023
Rice University
2023
Colorado State University
2023
National Institute of Standards and Technology
2023
Finland University
2011-2021
Oregon State University
2012-2013
Joensuu Science Park
2007-2009
Airborne laser scanning data and corresponding field were acquired from boreal forests in Norway Sweden, coniferous broadleaved Germany tropical pulpwood plantations Brazil. Treetop positions extracted using six different algorithms developed Finland, Germany, the accuracy of tree detection height estimation was assessed. Furthermore, weaknesses strengths methods under types forest analyzed. The results showed that structure strongly affected performance all algorithms. Particularly, success...
The aim of this study was to test different stem volume predictors that are capable utilizing laser scanning-based canopy height metrics as independent variables. three methods compared were (1) a direct prediction model for the at plot level, (2) system based on modelled percentiles basal area diameter distribution, and (3) parameter method used determinate Weibull-based distributions plot-level prediction. predicted volumes also with field-measured obtained Finnish conventional inventory...
In forest management planning and forestry decision-making there is a continuous need for higher quality information on resources. The aim of this study was to improve the resource acquired by airborne laser scanning combining it with aerial images current stand-register data. A k-MSN (most similar neighbor) application constructed prediction plot stand volumes standing trees. used various data sources, including scanner data, digital photographs, class variables describing stand, updated...
The use of diameter distributions originates from a need for tree-level description forest stands, which is required, example, in growth simulators and bucking. Diameter distribution models are usually applied, since measuring empirical practical inventories too laborious. This study investigated the ability remote sensing information to predict species-specific distributions. was carried out Finland typical managed boreal area. tree species considered were Scots pine ( Pinus sylvestris L.),...
<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...
The aim of this paper was to examine different plot selection strategies field training plots in forest inventory using airborne laser scanner (ALS) data. applied were random selection, within pre-stratification according type, geographical location and based on properties the ALS data given as a priori information. study conducted by means simulation utilizing existing independent validation performance evaluated assessing bias root mean square error (RMSE). accuracy simultaneously derived...
The adaptation of different species to warming temperatures has been increasingly studied. Moose (Alces alces) is the largest ungulate occupying northern latitudes across globe, and in Finland it most important game species. It very well adapted severe cold temperatures, but a relatively low tolerance warm temperatures. Previous studies have documented changes habitat use by moose due high In many these studies, used areas classified according how much thermal cover they were assumed offer...
AbstractWe examined the problem of selecting predictor variables for Nearest Neighbor (NN) imputation in remote sensing based forest inventory. Eighty-three were calculated from Airborne Laser Scanning data and aerial images, with responses being either dominant height or a set five common stand attributes. Three different approaches compared select variables. Analyses repeated three NN methods using varying number Results indicated that variable selection is justified, but it must be done...
<ja:p>The aim of this study was to examine how well stem volume, above-ground biomass and dominant height can be predicted using nationwide airborne laser scanning (ALS) based regression models. The material consisted nine practical ALS inventory projects taken from different parts Finland. We used field sample plots data create regional models for each response variable. final had one or two predictors, which were chosen on the root mean square error (RMSE), cross-validated. Finally, we...
Multispectral light detection and ranging (LiDAR) instruments, such as Optech Titan, record intensities at multiple wavelengths these can be used for tree species prediction in the same way multispectral image data. In this paper, our main objective was to compare accuracy of a boreal forest area using LiDAR, 1064-nm wavelength channel ("unispectral LiDAR"), unispectral LiDAR with auxiliary aerial We also evaluated effect widely intensity range correction method. classified field plots...
Forest management inventories (FMIs) provide critical information, usually at the stand level, for forest planning. A typical FMI includes (i) delineation of inventory area to stands by applying auxiliary information; (ii) classification according categorical attributes such as age, site fertility, main tree species, and development; (iii) measurement, modelling, prediction interest. The emergence wall-to-wall remote-sensing data has enabled a paradigm change in FMIs from highly subjective,...
The role of forests in biodiversity assessment and planning is substantial as these ecosystems support approximately 80% the world's terrestrial biodiversity. Forests provide food, shelter, nesting environments for numerous species, deliver multiple ecosystem services. It has been widely recognised that forest vegetation structure its complexity influence local variations As are facing threats globally caused by human activities, there a need to map ecosystems. main objective this review was...
Information about tree species-specific forest characteristics is often a compulsory requirement of the inventory system. In Finland, use combination ALS data and orthorectified aerial photographs has been studied previously, but there are some weaknesses in this approach. First, need radiometric correction, second, points not properly fused due to radial displacement. study, linked unrectified known orientation parameters, which enables better fusion. Each point mapped several photographs,...
Abstract Airborne laser scanning (ALS) data are not usually considered to be very informative with respect tree species, and this information is often obtained by combining such spectral image material. The aim here was test the ability of variables derived solely from ALS describe crown shape structure characteristics required for species discrimination. For that purpose, we constructed approximations three-dimensional return applying a computational geometry approach, alpha concept,...
<ja:p>This study examined the suitability of airborne laser scanner (ALS) data collected under leaf-off conditions in a forest inventory, which deciduous and coniferous trees need to be separated. All analyses were carried out with leaf-on ALS from same area. Additionally, aerial photographs utilized Nearest Neighbor (NN) imputations. An area-based approach was used this study. Regression estimates plot volume more accurate case than data. In addition, regression models plots plots. The...
In this study, Lorenz curve descriptors of tree diameter inequality were used to characterize the dynamics forest development in a shelterwood-managed Pinus sylvestris (L.) dominated area. The purpose was stratify area into structural types (FST) from airborne laser scanning (ALS)-based wall-to-wall predictions chosen indicators: Gini coefficient (GC) and asymmetry (LA). A clear boundary at GC = 0.5 found, which separated even-sized (below) uneven-sized (above) areas. Furthermore, need for...