A5009027520- Remote Sensing and LiDAR Applications
- Quantum and electron transport phenomena
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Forest Ecology and Biodiversity Studies
- 3D Surveying and Cultural Heritage
- Forest ecology and management
- Advanced Thermodynamics and Statistical Mechanics
- Remote Sensing in Agriculture
- Physics of Superconductivity and Magnetism
- Quantum Mechanics and Applications
- advanced mathematical theories
- Geology and Paleoclimatology Research
- Methane Hydrates and Related Phenomena
- Scientific Computing and Data Management
- Robotics and Sensor-Based Localization
- Image Processing and 3D Reconstruction
- Cold Atom Physics and Bose-Einstein Condensates
- Hydrocarbon exploration and reservoir analysis
- Infrastructure Maintenance and Monitoring
- Magnetic confinement fusion research
- Atomic and Subatomic Physics Research
- Mechanical and Optical Resonators
- Geological and Geochemical Analysis
- Isotope Analysis in Ecology
Finnish Geospatial Research Institute
2020-2024
Aalto University
2018-2024
University of Helsinki
2024
University of Eastern Finland
2024
IQM (Finland)
2022-2023
University of Oulu
2019
VTT Technical Research Centre of Finland
2019
Geological Survey of Finland
1962-1969
Bridge University
1964
University of Cambridge
1964
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...
Forest inventories rely on field plots, the measurement of which is costly and time consuming by manual means. Thus, there a need to automate plot-level data collection. Mobile laser scanning has yet be demonstrated for deriving stem curve volume from standing trees with sufficient accuracy supporting forest inventory needs. We tested new approach based pulse-based backpack mobile scanner (Riegl VUX-1HA) combined in-house developed SLAM (Simultaneous Localization Mapping), novel...
In this work, we compared six emerging mobile laser scanning (MLS) technologies for field reference data collection at the individual tree level in boreal forest conditions. The systems under study were an in-house developed AKHKA-R3 backpack scanner, a handheld Zeb-Horizon under-canopy UAV (Unmanned Aircraft Vehicle) system, and three above-canopy providing point clouds with varying densities. To assess performance of methods automated measurements diameter breast height (DBH), stem curve,...
Tunable coupling of superconducting qubits has been widely studied due to its importance for isolated gate operations in scalable quantum processor architectures. Here, we demonstrate a tunable qubit-qubit coupler based on floating transmon device, which allows us place at least 2 mm apart from each other while maintaining over 50-MHz between the and qubits. In introduced tunable-coupler design, both qubit-coupler couplings are mediated by two waveguides instead relying direct capacitive...
Tree species characterise biodiversity, health, economic potential, and resilience of an ecosystem, for example. classification based on remote sensing data, however, is known to be a challenging task. In this paper, we study the first time feasibility tree using high-density point clouds collected with airborne close-range multispectral laser scanning system – technique that has previously proved capable providing stem curve volume accurately rapidly standing trees. To end, carried out...
Improving the speed and fidelity of quantum logic gates is essential to reach advantage with future computers. However, fast lead increased leakage errors in superconducting processors based on qubits low anharmonicity, such as transmons. To reduce errors, we propose experimentally demonstrate two new analytical methods, Fourier ansatz spectrum tuning derivative removal by adiabatic gate (FAST DRAG) higher-derivative (HD) DRAG, both which enable shaping single-qubit control pulses frequency...
Superconducting quantum circuits are potential candidates to realize a large-scale computer. The envisioned large density of integrated components, however, requires proper thermal management and control dissipation. To this end, it is advantageous utilize tunable dissipation channels exploit the optimized heat flow at exceptional points (EPs). Here, we experimentally an EP in superconducting microwave circuit consisting two resonators. singularity point Hamiltonian, corresponds most...
Abstract Background Current automated forest investigation is facing a dilemma over how to achieve high tree- and plot-level completeness while maintaining cost labor efficiency. This study tackles the challenge by exploring new concept that enables an efficient fusion of aerial terrestrial perspectives for digitizing characterizing individual trees in forests through Unmanned Aerial Vehicle (UAV) flies above under canopies single operation. The advantage such perspective from above-canopy...
Today, high-quality reference tree measurements, including the position, diameter, height and volume, are cumbersome slow to carry out, but highly needed for forest inventories based on airborne laser scanning. Mobile scanning technologies hold promise collecting data with an extremely high efficiency. Perhaps, most efficient approach collection would be mount a high-resolution system board vehicle flying at low altitude above canopy since this allow recording samples of individual trees...
Superconducting qubits are one of the most promising candidates to implement quantum computers. The superiority superconducting computers over any classical device in simulating random but well-determined circuits has already been shown two independent experiments and important steps have taken error correction. However, currently wide-spread qubit designs do not yet provide high enough performance enable practical applications or efficient scaling logical owing several following issues:...
The use of mobile laser scanning for mapping forests has scarcely been studied in difficult forest conditions. In this paper, we compare the accuracy retrieving tree attributes, particularly diameter at breast height (DBH), stem curve, volume, and height, using six different systems a managed natural boreal forest. These compared operated both under canopy on handheld unmanned aerial vehicle (UAV) platforms above from helicopter. complexity sites ranged easy to difficult, thus, is first...
Drones are increasingly used in forestry to capture high-resolution remote sensing data. While operations above the forest canopy already highly automated, flying inside forests remains challenging, primarily relying on manual piloting. Inside dense forests, reliance Global Navigation Satellite System (GNSS) for localization is not feasible. Additionally, drone must autonomously adjust its flight path avoid collisions. Recently, advancements robotics have enabled autonomous flights...
In this paper, we present a simple, efficient, and robust algorithm for 2D coarse registration of two point clouds. the proposed algorithm, locations some distinct objects are detected from cloud data, rotation- translation-invariant feature descriptor vector is computed each based on relative neighboring objects. Subsequently, descriptors obtained different clouds compared against one another by using Euclidean distance in space as similarity criterion. By nearest neighbor ratio, most...
We report on fast tunability of an electromagnetic environment coupled to a superconducting coplanar waveguide resonator. Namely, we utilize recently developed quantum-circuit refrigerator (QCR) experimentally demonstrate dynamic in the total damping rate resonator up almost two orders magnitude. Based theory, it corresponds change internal by nearly four The control QCR is fully electrical, with shortest implemented operation times range 10 ns. This experiment constitutes active reset...
Abstract The recent progress in direct active cooling of the quantum‐electric degrees freedom engineered circuits, or quantum‐circuit refrigeration is reviewed. In 2017, discovery a refrigerator (QCR) based on photon‐assisted tunneling quasiparticles through normal‐metal–insulator–superconductor junctions inspired series experimental studies demonstrating following main properties: i) direct‐current (dc) bias voltage junction can change QCR‐induced damping rate superconducting microwave...
Monitoring forest growth accurately is important for assessing and controlling carbon stocks that impact, example, the atmospheric CO2 concentration and, consequently, climate change. In prior studies, monitoring with laser scanning methods has resulted in relatively high errors. However, contribution of reference measurement error to uncertainty resolution rarely been analysed, measurements are usually considered mostly flawless. this study, a seven-year-long individual trees was estimated...
Automating forest machines to optimize the value chain requires ability map surroundings of machine and conduct accurate measurements nearby trees. In near-to-medium term, integrating a harvester with mobile laser scanner system may have multiple applications, including real-time assistance operator using laser-scanner-derived tree collection vast amounts training data for large-scale airborne scanning-based surveys at individual level. this work, we present comprehensive processing flow...
This paper studied the applicability of Roamer-R4DW mobile laser scanning (MLS) system for road rut depth measurement. The MLS was developed by Finnish Geospatial Research Institute (FGI), and consists two scanners a Global Navigation Satellite System (GNSS)-inertial measurement unit (IMU) positioning system. In study, fully automatic algorithm to calculate analyze depths, verified in 64 reference pavement plots (1.0 m × 3.5 m). We showed that terrestrial (TLS) data is an adequate MLS-based...
Forest is one of the most challenging environments to be recorded in a three-dimensional (3D) digitized geometrical representation, because size and complexity environment data-acquisition constraints brought by on-site conditions. Previous studies have indicated that pattern can more influence on registration results than other factors. In practice, ideal short-baseline observations, i.e., dense collection mode, rarely feasible, considering low accessibility forest commonly limited labor...
Various applications of quantum devices call for an accurate calibration cryogenic amplification chains. To this end, we present a convenient scheme and use it to accurately measure the total gain noise temperature chain by employing normal-metal--insulator--superconductor (NIS) junctions. Our method is based on radiation emitted inelastic electron tunneling across voltage-biased NIS We derive analytical equation that relates generated power applied bias voltage which only control parameter...
Abstract. During the last decade, use of drones in forest monitoring and remote sensing has become highly popular. While most tasks take place high altitudes open air, few years have also gained interest under-canopy data collection. However, flying under canopy is a complex task since drone can not Global Navigation Satellite Systems (GNSS) for positioning it to continually avoid obstacles, such as trees, branches, rocks, on its path. For that reason, drone-based collection still mainly...
The automation of forest field reference data collection has been an intensive research objective for laser scanning scientists ever since the invention terrestrial more than two decades ago. In this study, we demonstrated that under-canopy UAV system utilizing a rotating scanner can alone provide accurate estimates canopy height and stem volume majority trees in boreal forest. We mounted based on Velodyne VLP-16 sensor onboard manually piloted UAV. was commanded with help live video feed...
Automation of forest field reference data collection has been an intensive research objective for laser scanning scientists ever since the invention terrestrial more than two decades ago. Recently, it proposed that such automated providing both tree heights and stem curves would require a combination above-canopy UAV point clouds clouds. In this study, we demonstrate under-canopy system utilizing rotating scanner can alone provide accurate estimates canopy height volume majority trees in...