A5061837252- 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
- Forest Insect Ecology and Management
- Research in Social Sciences
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Tree Root and Stability Studies
- Land Use and Ecosystem Services
- Forest Biomass Utilization and Management
- Anomaly Detection Techniques and Applications
- 3D Modeling in Geospatial Applications
- Fault Detection and Control Systems
- Species Distribution and Climate Change
- Peatlands and Wetlands Ecology
- Archaeological Research and Protection
- Urban Green Space and Health
- Rangeland and Wildlife Management
- Bayesian Modeling and Causal Inference
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Network Security and Intrusion Detection
- Remote-Sensing Image Classification
University of Helsinki
2016-2025
Finnish Geospatial Research Institute
2015-2024
University of Eastern Finland
2024
Aalto University
2024
City of Helsinki
2020
Group Health Cooperative
2019
Arcada University of Applied Sciences
2015-2017
Age Institute
2016
Research Council of Finland
2016
Åbo Akademi University
2014
This paper presents a new method for constructing quickly and automatically precision tree models from point clouds of the trunk branches obtained by terrestrial laser scanning. The input is cloud single scanned multiple positions. surface visible parts robustly reconstructed making flexible cylinder model tree. thorough quantitative records also topological branching structure. In this paper, every major step whole reconstruction process, to finished model, presented in detail. constructed...
Decision making on forest resources relies the precise information that is collected using inventory. There are many different kinds of inventory techniques can be applied depending goal, scale, and required accuracy. Most inventories based field sample. Therefore, accuracy depends quality quantity Conventionally, sample has been measured simple tools. When map required, remote sensing materials needed. Terrestrial laser scanning (TLS) provides a measurement technique acquire...
The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data Research) and ISPRS (International Society Photogrammetry Remote Sensing) was to evaluate quality, accuracy, feasibility automatic tree extraction methods, mainly based on laser scanner data. In final report project, Kaartinen Hyyppä (2008) reported a high variation in quality published methods under boreal forest conditions with varying point densities. This paper summarizes findings beyond after...
The last two decades have witnessed increasing awareness of the potential terrestrial laser scanning (TLS) in forest applications both public and commercial sectors, along with tremendous research efforts progress. It is time to inspect achievements remaining barriers TLS-based investigations, so further application are clearly orientated operational uses TLS. In such context, international TLS benchmarking project was launched 2014 by European Spatial Data Research Organization coordinated...
Low-cost, miniaturized hyperspectral imaging technology is becoming available for small unmanned aerial vehicle (UAV) platforms. This can be efficient in carrying out small-area inspections of anomalous reflectance characteristics trees at a very high level detail. Increased frequency and intensity insect induced forest disturbance has established new demand effective methods suitable mapping monitoring tasks. In this investigation, novel frame sensor operating the wavelength range 500–900...
Climate-related extended outbreaks and range shifts of destructive bark beetle species pose a serious threat to urban boreal forests in North America Fennoscandia. Recent developments low-cost remote sensing technologies offer an attractive means for early detection management environmental change. They are great interest the actors responsible monitoring managing forest health. The objective this investigation was develop, assess, compare automated procedures based on novel, hyperspectral...
Remote sensing-based forest investigation and monitoring have become more affordable applicable in the past few decades. The current bottleneck limiting practical use of vast volume remote sensing data lies lack affordable, reliable, detailed field references, which are required for necessary calibrations satellite aerial relevant allometric models. Conventional investigations mostly limited to a small scale, using quantity observations. Rapid development close-range has been witnessed...
This paper reports on a study of measuring stem curves standing trees different species and in growth stages using terrestrial laser scanning (TLS). Pine spruce are scanned the multiscan approach field, felled to measure them destructively for purpose obtaining reference values. The automatically retrieved from point clouds, resulting an accuracy ~i1 cm. corresponding manual measurements yield similar but fewer at upper parts tree stems, compared with automated measurements. volumes based...
Airborne laser scanning (ALS) has demonstrated utility for forestry applications and renewed interest in other forms of remotely sensed data, especially those that capture three-dimensional (3-D) forest characteristics. One such data source results from the advanced processing high spatial resolution digital stereo imagery (DSI) to generate 3-D point clouds. From derived cloud, a surface model vertical information with similarities ALS can be generated. A key consideration is when developing...
During the past decade in forest mapping and monitoring applications, ability to acquire spatially accurate, 3D remote-sensing information by means of laser scanning, digital stereo imagery radar has been a major turning point. These data sets that use single- or multi-temporal point clouds enable wide range applications when combined with other geoinformation logging machine-measured data. New technologies precision forestry, which can be defined as method accurately determine...
Interest in measuring forest biomass and carbon stock has increased as a result of the United Nations Framework Convention on Climate Change, sustainable planning resources is therefore essential. Biomass estimates are based large area growing volume provided by national inventories (NFIs). The for NFIs depend stem individual trees. Data collection formulating models challenging, because amount data required considerable, fact that detailed destructive measurements to provide these...
Surveying and robotic technologies are converging, offering great potential for robotic-assisted data collection support labour intensive surveying activities. From a forest monitoring perspective, there several technological operational aspects to address concerning under-canopy flying unmanned airborne vehicles (UAV). To demonstrate this emerging technology, we investigated tree detection stem curve estimation using laser scanning obtained with an UAV. end, mounted Kaarta Stencil-1 scanner...
A harvester enables detailed roundwood data to be collected during harvesting operations by means of the measurement apparatus integrated into its felling head. These can used improve efficiency wood procurement and also replace some field measurements, thus provide both less costly more ground truth for remote sensing based forest inventories. However, positional accuracy harvester-collected tree is not sufficient currently match per individual trees achieved with data. The aim in present...
Forest resource information has a hierarchical structure: individual tree attributes are summed at the plot level and then in turn, plot-level estimates used to derive stand or large-area of forest resources. Due this hierarchy, it is imperative that measured with accuracy precision. With widespread use different measurement tools, also important understand expected degree precision associated these measurements. The most prevalent field species, stem diameter-at-breast-height (dbh), height....
It is anticipated that many of the future forest mapping applications will be based on three-dimensional (3D) point clouds. A comparison study was conducted to verify explanatory power and information contents several 3D remote sensing data sources retrieval above ground biomass (AGB), stem volume (VOL), basal area (G), basal-area weighted mean diameter (Dg) Lorey’s height (Hg) at plot level, utilizing following data: synthetic aperture radar (SAR) Interferometry, SAR radargrammetry,...
This paper investigated the potential of multispectral airborne laser scanning (ALS) data for individual tree detection and species classification. The aim was to develop a single-sensorsolution forest mapping that is capable providing species-specific information, required management planning purposes. Experiments were conducted using 1903 ground measured trees from 22 sample plots ALS data, acquired with an Optech Titan scanner over boreal forest, mainly consisting Scots pine (Pinus...
Approaches to deriving forest information from laser scanner data have generally made use of two methods: the area-based and individual tree-based approaches. In this paper, these methods were evaluated compared for their abilities predict attributes at plot level using same datasets. Airborne collected over Evo area, southern Finland, with an averaging point density 2.6 points/m2. Mean height, mean diameter volume predicted laser-derived features plots (area-based method) or tree breast...
Research activities combining lidar and radar remote sensing have increased in recent years. The main focus lidar-radar forest has been on the retrieval of aboveground biomass (AGB), which is a primary variable related to carbon cycle land ecosystems, therefore identified as an essential climate variable. In this review, we summarize studies estimating AGB. We discuss complementary use according relevance added value. most promising prospects for data are lidar-derived ground elevations...
Forest biomass is often difficult to quantify because field measurements are time consuming and require destructive sampling. This study explores the retrieval of stem individual trees by terrestrial laser scanning (TLS). Destructive sampling was done collect data from sample used as a dependent variable in regression analysis. Two estimation models were investigated: one based on diameter at breast height (DBH) another sum section volume. Both DBH volume determined automatic reconstruction...