A5084010997- Remote Sensing and LiDAR Applications
- Forest ecology and management
- 3D Surveying and Cultural Heritage
- Forest Ecology and Biodiversity Studies
- Remote Sensing in Agriculture
- Robotics and Sensor-Based Localization
- Tree Root and Stability Studies
- Fire effects on ecosystems
- Forest Management and Policy
- Aeolian processes and effects
- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Archaeological Research and Protection
- Satellite Image Processing and Photogrammetry
- Urban Heat Island Mitigation
- Ecology and Vegetation Dynamics Studies
- Botany and Plant Ecology Studies
- 3D Shape Modeling and Analysis
- Climate Change and Environmental Impact
- Landslides and related hazards
- Urban Green Space and Health
- Peatlands and Wetlands Ecology
- Plant and animal studies
- Industrial Vision Systems and Defect Detection
- Plant responses to elevated CO2
University College London
2024-2025
Czech University of Life Sciences Prague
2018-2024
Technical University of Zvolen
2016-2024
National Centre for Earth Observation
2024
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...
Mapping hard-to-access and hazardous parts of forests by terrestrial surveying methods is a challenging task. Remote sensing techniques can provide an alternative solution to such cases. Unmanned aerial vehicles (UAVs) on-demand data higher flexibility in comparison other remote techniques. However, traditional georeferencing imagery acquired UAVs involves the use ground control points (GCPs), thus negating benefits rapid efficient mapping areas. The aim this study was evaluate accuracy...
The development of devices capable generating three-dimensional (3D) point clouds the forest is flourishing in recent years. It possible to generate relatively dense and accurate 3D data not only by terrestrial laser scanning but also mobile scanning, personal (hand-held or a backpack), photogrammetry, even using smart with Time-of-Flight sensors. Each mentioned has their limits usability, different method capture needs be applied. Therefore, objective our experiment was compare performance...
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...
The measurements of tree attributes required for forest monitoring and management planning, e.g., National Forest Inventories, are derived by rather time-consuming field on sample plots, using calipers measurement tapes. Therefore, managers researchers looking alternative methods. Currently, terrestrial laser scanning (TLS) is the remote sensing method that provides most accurate point clouds at plot-level to derive these from. However, demand even more efficient effective solutions triggers...
The potential of close-range photogrammetry (CRP) to compete with terrestrial laser scanning (TLS) produce dense and accurate point clouds has increased in recent years. use CRP for estimating tree diameter at breast height (DBH) multiple advantages over TLS. For example, from are similar TLS, but hardware costs significantly lower. However, a number data collection issues need be clarified before the forested areas is considered effective. In this paper we focused on different methods...
Abstract. Strong winds may uproot and break trees represent a major natural disturbance for European forests. Wind disturbances have intensified over the last decades globally are expected to further rise in view of effects climate change. Despite importance such disturbances, there currently no spatially explicit databases wind-related impact at pan-European scale. Here, we present new database wind forests (FORWIND). FORWIND is comprised more than 80 000 delineated areas Europe that were...
This study focuses on the horizontal and vertical accuracy of point-clouds based unmanned aerial vehicle (UAV) imagery. The DJI Phantom 3 Professional Agisoft PhotoScan software were used for evaluation. Three test sites with differing conditions (canopy openness, slope, terrain complexity, etc.) comparison. evaluation was aimed positions points placed ground. is often disregarded under forest as it not possible to photogrammetrically reconstruct that covered by a fully-closed canopy....
Abstract Proximally sensed laser scanning presents new opportunities for automated forest ecosystem data capture. However, a gap remains in deriving ecologically pertinent information, such as tree species, without additional ground data. Artificial intelligence approaches, particularly deep learning (DL), have shown promise towards automation. Progress has been limited by the lack of large, diverse, and, most importantly, openly available labelled single‐tree point cloud datasets. This...
Recently, the cultivation of fast-growing tree (FGT) plantations has gained importance due to growing energy and climate crisis. FGT have potential reduce carbon footprints lower greenhouse gas emissions by utilization local renewable sources. Effective monitoring above-ground biomass (AGB) is crucial for successful management these plantations. Standard methods estimating AGB rely on easily measurable parameters, such as Diameter at Breast Height (DBH) height, which are highly correlated...
In the context of COST Action 3DForEcoTech and an ISPRS scientific initiative, a benchmarking activity was conducted to evaluate performance 13 software solutions designed for automated forest inventory using ground-based point clouds. These tools, which serve as digital analogs traditional inventories, were tested on 12 datasets from four distinct plots featuring diverse types acquisition methods, including two different Terrestrial Laser Scanners (TLS) handheld laser scanner. The...
Accurate and scalable tree species identification remains a critical challenge for global forest monitoring management. Despite the increasing availability of remotely sensed data, lack standardized, high-quality ground truth datasets limits potential supervised machine learning models in capturing diversity ecosystems across different environmental geographic contexts. Prior studies have highlighted need global-scale, high-resolution to develop robust algorithms capable ecosystems.Towards...
Strong wind disturbances can affect large forested areas and often occur irregularly within a forest. Due to this, identifying damaged sites estimating the extent of these losses are crucial for harvesting management salvage logging. Furthermore, location should be surveyed as soon possible after disturbance prevent degradation fallen trees. A fixed-wing type unmanned aircraft system (UAS) with compact digital camera was used in this study. The imagery acquired on approximately 200 hectares...
Close-range photogrammetry (CRP) can be used to provide precise and detailed three-dimensional data of objects. For several years, CRP has been a subject research in forestry. Several studies have focused on tree reconstruction at the forest stand, plot, levels. In our study, we trees separately within stand. We investigated influence camera lens, species, height diameter accuracy perimeter estimation. Furthermore, variance reference measurements. chose four species (Fagus sylvatica L.,...
Ecosystem complexity is among the important drivers of biodiversity and ecosystem functioning, unmanned aerial systems (UASs) are becoming an tool for characterizing vegetation patterns processes. The variety UASs applications immense, so procedures to process data described in literature. Optimizing workflow still a matter discussion. Here, we present comprehensive synthesis aiming identify common rules that shape workflows applied UAS-based studies facing ecosystems. Analysing studies,...
Abstract. Terrestrial photogrammetry nowadays offers a reasonably cheap, intuitive and effective approach to 3D-modelling. However, the important choice, which sensor software use is not straight forward needs consideration as choice will have effects on resulting 3D point cloud its derivatives. We compare five different sensors well four state-of-the-art packages for single application, modelling of vegetated rock face. The represent resolutions, sizes price segments cameras. used are: (1)...
An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have lack of data connectivity, and optical parameters scanning cameras lead to different densities clouds. Data noise or systematic errors (missing data) make the automatic identification landforms tree problematic impossible. We processed, analyzed, interpreted large-scale survey, which were acquired by light detection ranging (LiDAR) technology,...
Abstract. Remote Sensing (RS) techniques are increasingly used in urban tree inventory measurements for their improved accuracy and promptness over the conventional methods. The focus of this study is to evaluate application iPad Pro 2020 its LiDAR sensor trees reconstruction Diameter at Breast Height (DBH) measurements. Altogether, 101 were scanned. We have individual- multiple-tree scan modes with different settings (Resolution: 10 mm, 15 20 mm; Confidence: High, Low). With these methods...
In this study, we evaluated the performance of GeoSLAM ZEB Horizon and Stonex X120GO SLAM handheld mobile laser scanners (HMLS) to address two primary objectives. First, aimed assess compare accuracy positioning achieved using HMLS instruments. Second, sought investigate influencing factors their impact on estimation accuracies. The in Simultaneous Localization Mapping-aided solutions were defined, considering scanner type, distance from trajectory, forest structure, tree species, Diameter...
Terrestrial photogrammetry nowadays offers a reasonably cheap, intuitive and effective approach to 3D-modelling. However, the important choice, which sensor software use is not straight forward needs consideration as choice will have effects on resulting 3D point cloud its derivatives. <br><br> We compare five different sensors well four state-of-the-art packages for single application, modelling of vegetated rock face. The represent resolutions, sizes price...
Mobile laser scanning (MLS) is a progressive technology that has already demonstrated its ability to provide highly accurate measurements of road networks. innovation the also found use in forest mapping over last decade. In most cases, existing methods for data acquisition using MLS result misaligned scenes forest, scanned from different views appearing one point cloud. These difficulties are caused mainly by canopy blocking global navigation satellite system (GNSS) signal and limited...
Abstract. The forest inventory is an important instrument for sustainable management. Canopy Height Model (CHM) and Digital Surface (DSM) created from high-resolution UAV (unmanned aerial vehicle) imagery provide possibility to determine tree crown diameters the whole stand at fast. goal of this paper identify influence species on accuracy estimation diameter imagery. In Plot 1 with coniferous we identified 21 trees total 22 that leads a detection rate 95%. deciduous 24 34 71%. RMSE errors...