A5071231668- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Forest Management and Policy
- Remote Sensing in Agriculture
- Forest Ecology and Biodiversity Studies
- Atmospheric and Environmental Gas Dynamics
- Peatlands and Wetlands Ecology
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Conservation, Biodiversity, and Resource Management
- Soil and Water Nutrient Dynamics
- Environmental Impact and Sustainability
- 3D Surveying and Cultural Heritage
- Fluid Dynamics Simulations and Interactions
- Social Acceptance of Renewable Energy
- Soil Geostatistics and Mapping
- Metal Forming Simulation Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Vibration and Dynamic Analysis
- Landslides and related hazards
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Marine and coastal ecosystems
- Sustainability and Climate Change Governance
- Satellite Image Processing and Photogrammetry
Finnish Environment Institute
2021-2023
Lappeenranta-Lahti University of Technology
2008-2018
Joensuu Science Park
2008-2010
Abstract Forest management methods and harvest intensities influence wood production, carbon sequestration biodiversity. We devised different scenarios by means of stakeholder analysis incorporated them in the forest growth simulator PREBAS. To analyse impacts intensity, we used constraints on total harvest: business as usual, low harvest, intensive no harvest. carried out simulations a wall-to-wall grid Finland until 2050. Our objectives were to (1) test how differed their projections, (2)...
The EU aims at reaching carbon neutrality by 2050 and Finland 2035. We integrated results of three spatially distributed model systems (FRES, PREBAS, Zonation) to evaluate the potential reach this goal both national regional scale in Finland, simultaneously considering protection targets biodiversity (BD) strategy. Modelling anthropogenic emissions forestry measures were carried out, forested areas important for BD identified based on spatial prioritization. used scenarios until mitigation...
Extracting digital elevationmodels (DTMs) from LiDAR data under forest canopy is a challenging task. This because the tends to block portion of pulses reaching ground, hence introducing gaps in data. paper presents an algorithm for DTM extraction canopy. The copes with challenge low density by generating series coarse DTMs using few ground points available and trend surfaces interpolate missing elevation values vicinity points. process generates cloud which final generated. has been compared...
Modern operational forest inventory often uses remotely sensed data that cover the whole area to produce spatially explicit estimates of properties through statistical models. The obtained by airborne light detection and ranging (LiDAR) correlate well with many variables, such as tree height, timber volume, biomass. To construct an accurate model over thousands hectares, LiDAR must be supplemented several hundred field sample measurements variables. This can costly time consuming. Different...
Abstract In this article, a new method is applied to modeling forest stand characteristics from airborne laser scanning measurements. The an alternative the cross-validation procedure of variable selection used in ordinary least-squares (OLS) and seemingly unrelated regression (SUR) with automatic features model. This called sparse Bayesian method. It does not suffer overfitting thanks formulation problem. proposed sample plot data obtained inventory by compartments. results show that...
Uncertainties are essential, yet often neglected, information for evaluating the reliability in forest carbon balance projections used national and regional policy planning. We analysed uncertainties net biome exchange (NBE) stocks under multiple management climate scenarios with a process-based ecosystem model. Sampled initial state values, model parameters, harvest levels global models (GCMs) served as inputs Monte Carlo simulations, which covered forests of 18 regions mainland Finland...
Abstract Airborne laser scanning (also known as LiDAR) is rapidly turning into a popular method for operational forest assessment. In the course of this development, classic regression methods have been replaced by nonparametric or Bayesian methods. Accurate estimates with such require large collection several hundreds sample plots, which costly. We propose replacing most these plots ones collected during earlier missions in different, but similar, forests. However, using replacement...
Canopy base height (CBH) is a key parameter used in forest-fire modeling, particularly crown fires. However, estimating CBH challenging task, because normally, it difficult to measure the field. This has led use of simple estimators (e.g., average individual trees plot) for modeling CBH. In this paper, we propose method from airborne light detection and ranging (LiDAR) data. We also compare performance several (Lorey’s mean, arithmetic mean 40th 50th percentiles) estimate at plot level. The...
Forest conservation plays a central role in meeting national and international biodiversity climate targets. Biodiversity carbon values within forests are often estimated with models, introducing uncertainty to decision making on which forest stands protect. Here, we explore how uncertainties variable estimates affect modelled patterns, this turn introduces variability the selection of new protected areas. We find that both patterns were sensitive alterations attributes. Uncertainty features...
Climate change mitigation is a global response that requires actions at the local level. Quantifying sources and sinks of greenhouse gases (GHG) facilitate evaluating options. We present an approach to collate spatially explicit estimated fluxes GHGs (carbon dioxide, methane nitrous oxide) for main land use sectors in landscape, aggregate, calculate net emissions entire region. Our procedure was developed tested large river basin Finland, providing information from intensively studied eLTER...
We present regionally aggregated emissions of greenhouse gases (GHG) from five land cover categories in Finland: artificial surfaces, arable land, forest, waterbodies, and wetlands. Carbon (C) sequestration to managed forests unmanaged wetlands was also assessed. Models FRES ALas were applied for (CO2, CH4, N2O) surfaces agriculture, PREBAS forest growth C balance. Empirical emission coefficients used estimate drained forested peatland (CH4, N2O), cropland (CO2), waterbodies CO2), peat...
Remote sensing observations are extensively used for analysis of environmental variables. These variables often exhibit spatial correlation, which has to be accounted in the calibration models predictions, either by direct modelling dependencies or allowing spatially correlated stochastic effects. Another feature many remote instruments is that derived predictor highly correlated, can lead unnecessary model over-training and at worst, singularities estimates. Both these affect prediction...
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....
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...
In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for assessment tropical forest properties in Nepal. Research to be presented at conference concentrates on several scientific goals. First, location scattering phase centre inside canopy is investigated using reference ALS measured height model. Means tree extraction both model based approaches (similar Random Volume over Ground) and...
The browning of surface waters due to the increased terrestrial loading dissolved organic carbon is observed across northern hemisphere. Brownification often explained by changes in large-scale anthropogenic pressures (including acidification, and climate land-use changes). We quantified effect environmental on brownification an important lake for birds, Kukkia southern Finland. studied past trends from catchments based observations taken since 1990s. created hindcasting scenarios...
In recent years, airborne laser scanning (also known as light detection and ranging [LiDAR]), in combination with digital aerial photography has been used to estimate plot-level forest characteristics of new sites. Forest are defined both parameters derived without regard species, total stand parameters, species-specific parameters. The use LiDAR produced promising results, but its costs have high, because the numbers sample plots needed for model development calibration relatively high....
In preparation for participation in funding mechanisms established under the United Nations’ framework reducing emissions from deforestation and forest degradation (REDD+), Government of Nepal has developed a sub-national reference level (RL) 12 districts Terai Arc Landscape (TAL) partnership with WWF-Nepal, WWF-US Arbonaut Ltd., Finland. The was using LiDAR–Assisted Multisource Programme (LAMP), an innovative effort that utilizes existing national survey data, field sampling, satellite...
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...
Remotely sensed data-based models used in operational forest inventory usually give precise and accurate predictions on average, but they often suffer from systematic under- or over-estimation of extreme attribute values resulting too narrow skewed distributions. We use a post-processing method based the statistics proper, representative training set to correct their probability intervals, attaining corrected that reproduce whole population. Performance is validated with three attributes...
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...