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Overview

Sanna Kaasalainen is affiliated with the Finnish Geospatial Research Institute in Finland. Their research focuses on engineering, specifically within aerospace engineering, electrical and electronic engineering, oceanography, astronomy and astrophysics, and artificial intelligence. The main topics of their work include GNSS positioning and interference, geophysics and gravity measurements, ionosphere and magnetosphere dynamics, inertial sensor and navigation, indoor and outdoor localization technologies, satellite communication systems, and cryospheric studies and observations.

Their publication record includes contributions to notable venues such as IEEE Access, GPS Solutions, Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM), Sensors, and The Cryosphere. Kaasalainen's frequent co-authors include M. Zahidul H. Bhuiyan, Fabricio S. Prol, Saiful Islam, Heidi Kuusniemi, and Martti Kirkko-Jaakkola.

Recent papers authored or co-authored by Sanna Kaasalainen include:

  • Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities, 2022, IEEE Access
  • Effect of small-scale snow surface roughness on snow albedo and reflectance, 2021, The Cryosphere
  • Is LEO-Based Positioning with Mega-Constellations the Answer for Future Equal Access Localization?, 2022, IEEE Communications Magazine
  • Simulations of Dedicated LEO-PNT Systems for Precise Point Positioning: Methodology, Parameter Analysis, and Accuracy Evaluation, 2024, IEEE Transactions on Aerospace and Electronic Systems
  • HASlib: An Open-Source Decoder for the Galileo High Accuracy Service, 2022, Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)

Kaasalainen's work spans multiple subfields and topics, as evidenced by the range of subject areas they have published in, and the variety of collaborating researchers. The research outputs reveal a blend of theoretical and applied investigations in positioning technologies, satellite systems, and environmental studies related to snow surface effects.

Best Publications

  • Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

    Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen

  • Full waveform hyperspectral LiDAR for terrestrial laser scanning

    Teemu Hakala;Juha Suomalainen;Sanna Kaasalainen;Yuwei Chen

  • Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods

    Sanna Kaasalainen;Anttoni Jaakkola;Mikko Kaasalainen;Anssi Krooks

  • BRDF measurement of understory vegetation in pine forests: dwarf shrubs, lichen, and moss

    Jouni I. Peltoniemi;Sanna Kaasalainen;Jyri Näränen;Jyri Näränen;Miina Rautiainen

  • Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets

    Sanna Kaasalainen;Anssi Krooks;Antero Kukko;Harri Kaartinen

  • Effect of incidence angle on laser scanner intensity and surface data

    Antero Kukko;Sanna Kaasalainen;Paula Litkey

  • Calibration of the optech ALTM-3100 laser scanner intensity data using brightness targets

    E. Ahokas;S. Kaasalainen;J. Hyyppä;J. Suomlainen

  • Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets

    S. Kaasalainen;H. Hyyppa;A. Kukko;P. Litkey

  • Study of surface brightness from backscattered laser intensity: calibration of laser data

    S. Kaasalainen;E. Ahokas;J. Hyyppa;J. Suomalainen

  • Two-channel Hyperspectral LiDAR with a Supercontinuum Laser Source

    Yuwei Chen;Esa Räikkönen;Sanna Kaasalainen;Juha Suomalainen

  • FACTORS AFFECTING THE QUALITY OF DTM GENERATION IN FORESTED AREAS

    Hannu Hyyppä;Juha Hyyppä;Harri Kaartinen;Sanna Kaasalainen

  • Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure Modelling

    Sanna Kaasalainen;Anssi Krooks;Jari Liski;Pasi Raumonen

  • Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects

    Sanna Kaasalainen;Markus Holopainen;Mika Karjalainen;Mikko Vastaranta

  • Toward Hyperspectral Lidar: Measurement of Spectral Backscatter Intensity With a Supercontinuum Laser Source

    S. Kaasalainen;T. Lindroos;J. Hyyppa

  • Brightness Measurements and Calibration With Airborne and Terrestrial Laser Scanners

    S. Kaasalainen;A. Kukko;T. Lindroos;P. Litkey

  • Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR

    Olli Nevalainen;Teemu Hakala;Juha Suomalainen;Juha Suomalainen;Raisa Mäkipää

  • Tree species classification from fused active hyperspectral reflectance and LIDAR measurements.

    Eetu Puttonen;Juha Suomalainen;Teemu Hakala;Esa Räikkönen

  • Measurement of directional and spectral signatures of light reflectance by snow

    J.I. Peltoniemi;S. Kaasalainen;J. Naranen;L. Matikainen

  • Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR

    J. Vauhkonen;T. Hakala;J. Suomalainen;S. Kaasalainen

  • Correcting Airborne Laser Scanning Intensity Data for Automatic Gain Control Effect

    A Vain;Xiaowei Yu;S Kaasalainen;J Hyyppa

Frequent Co-Authors

Harri Kaartinen
Harri Kaartinen University of Turku
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Teemu Hakala
Teemu Hakala Finnish Geospatial Research Institute
Antero Kukko
Antero Kukko Aalto University
Juha Suomalainen
Juha Suomalainen Wageningen University & Research
Markus Holopainen
Markus Holopainen University of Helsinki
Hannu Hyyppä
Hannu Hyyppä Aalto University
Mikko Vastaranta
Mikko Vastaranta University of Eastern Finland
Anttoni Jaakkola
Anttoni Jaakkola Finnish Geospatial Research Institute
Xiaowei Yu
Xiaowei Yu Finnish Geospatial Research Institute

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