A5080433150- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Forest Management and Policy
- 3D Surveying and Cultural Heritage
- Peatlands and Wetlands Ecology
- Ecology and Vegetation Dynamics Studies
- Fire effects on ecosystems
- Botany and Plant Ecology Studies
- Species Distribution and Climate Change
- Soil Geostatistics and Mapping
- Land Use and Ecosystem Services
- Research in Social Sciences
- Image Processing and 3D Reconstruction
- Tree Root and Stability Studies
- Forest Biomass Utilization and Management
- Satellite Image Processing and Photogrammetry
- Plant Ecology and Soil Science
- Atmospheric and Environmental Gas Dynamics
- Infrared Target Detection Methodologies
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Integrated Water Resources Management
- Advanced SAR Imaging Techniques
Natural Resources Institute Finland
2015-2024
Université de Reims Champagne-Ardenne
2024
Kitasato University
2024
University of Geneva
2024
Sejong University
2024
Institut Català de Ciències del Clima
2024
Institut de Ciències del Mar
2024
Consejo Superior de Investigaciones Científicas
2024
Guangdong Technion-Israel Institute of Technology
2024
Finnish Environment Institute
2009-2014
Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out tasks. Three-dimensional (3D) hyperspectral novel powerful technology that has recently become available small UAVs. This study investigated performance of UAV-based photogrammetry imaging in individual tree detection species classification boreal forests. Eleven test sites with 4151 reference trees...
During the last two decades, forest monitoring and inventory systems have moved from field surveys to remote sensing-based methods. These methods tend focus on economically significant components of forests, thus leaving out many factors vital for biodiversity, such as occurrence species with low economical but high ecological values. Airborne hyperspectral imagery has shown potential tree classification, most common analysis methods, random support vector machines, require manual feature...
BIOPRESS (‘Linking Pan-European Land Cover Change to Pressures on Biodiversity’), a European Commission funded ‘Global Monitoring for Environment and Security’ project, produced land cover change information (1950—2000) Europe from aerial photographs tested the suitability of this monitoring habitats biodiversity. The methods results related work are summarized. Changes in were established through 73 window 59 transect samples distributed across Europe. Although sample size was too small...
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...
VTT Technical Research Centre of Finland has developed a Fabry-Perot Interferometer (FPI) based hyperspectral imager compatible with the light weight UAV platforms. The concept been published in SPIE Proc. 7474 and 7668. In forest agriculture applications recording multispectral images at few wavelength bands is most cases adequate. possibility to calculate digital elevation model area crop fields provides means estimate biomass perform inventory. full UAS imaging system will consist high...
Recognition of tree species and geospatial information on composition is essential for forest management. In this study, recognition was examined using hyperspectral imagery from visible to near-infrared (VNIR) short-wave infrared (SWIR) camera sensors in combination with a 3D photogrammetric canopy surface model based RGB stereo-imagery. An arboretum diverse selection 26 14 genera used as test area. Aerial high spatial resolution color were acquired the area unmanned aerial vehicle (UAV)...
Ditches of forestry-drained peatlands are an important source methane (CH 4 ) to the atmosphere. These CH emissions currently estimated using IPCC Tier 1 emission factor (21.7 g m −2 y −1 ), which is based on a limited number observations (11 study sites) and does not take into account that affected by condition age ditches. Furthermore, total area different kinds ditches remains insufficiently estimated. To construct more advanced ditch factors for Finland, we measured in 3 peatland areas...
Abstract Forest harvesting operations with heavy machinery can lead to significant soil rutting. Risks of rutting depend on the bearing capacity which has considerable spatial and temporal variability. Trafficability prediction is required in selection suitable operation sites for a given time window conditions, on-site route optimization during operation. Integrative tools are necessary plan carry out forest minimal negative ecological economic impacts. This study demonstrates...
The estimation of forest attributes representing aspects structural biodiversity from vast areas is difficult not only because the lack agreement on what constitutes a structurally diverse forest, but also due to difficulties in detection small trees. However, should have large variation tree size (i.e., height and diameter), as well some clustering trees, regular pattern typical for managed forests. In this work we developed framework building representative maps using airborne laser...
<ja:p>In this paper we examine the feasibility of data from unmanned aerial vehicle (UAV)-borne imagery in stand-level forest inventory. As airborne sensor platforms, UAVs offer advantages cost and flexibility over traditional manned aircraft remote sensing applications small areas, but they lack range endurance larger areas. On other hand, advances processing digital stereo photography make it possible to produce three-dimensional (3D) canopy on basis images acquired using simple...
Creating maps of forest inventory variables is commonly taking advantage satellite images, which are mosaicked together for gaining larger coverage. Recently, mosaicking has increasingly shifted towards user friendly cloud-based online environments such as Google Earth Engine (GEE), equipped with huge image repositories and extensive processing capabilities. This enables the easy transferability workflows into new sets diversifies range methodological options mosaicking. The quality control...
In this study, we investigate the use of model-based inference in forest surveys which auxiliary data are available as a probability sample. We evaluate effects model form and sample size on estimators growing stock volume, based different types remotely sensed data. The study was performed through Monte Carlo sampling simulation using two-phase design within simulated area resembling conditions mid-western Finland. show that choice has minor to moderate effect precision estimators....
Soil rutting caused by forest operations has negative economic and ecological effects thus limits for are set laws sustainability criteria. Extensive data on rut depths necessary post-harvest quality control development of models that link environmental conditions to formation. This study explored the use a Light Detection Ranging (LiDAR) sensor mounted harvester forwarder measure in real harvesting Southern Finland. LiDAR-derived were compared manually measured depths. The results showed at...
The challenges posed by climate change and biodiversity loss are deeply interconnected. Successful co-managing of these tangled drivers requires innovative methods that can prioritize target management actions against multiple criteria, while also enabling cost-effective land use planning impact scenario assessment. This paper synthesises the development application an integrated multidisciplinary modelling evaluation framework for carbon in forest systems. By analysing spatio-temporally...
In this study we compared the accuracy of low-pulse airborne laser scanning (ALS) data, multi-temporal high-resolution noninterferometric TerraSAR-X radar data and a combined feature set derived from these in estimation forest variables at plot level. The consisted seven dual-polarized (HH/HV or VH/VV) Stripmap mode images all seasons year. We were especially interested distinguishing between tree species. dependent estimated included mean volume, basal area, height, diameter...
Hyperspectral imagery and photogrammetric 3D point cloud based on RGB were acquired under weather conditions changing from cloudy to sunny.• Calibration of hyperspectral was required for compensating the effect varying conditions.• The combination data resulted in accurate forest estimates, especially volumes per tree species.