World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
39
Citations
6001
World Ranking
8354
National Ranking
123

Sanna Kaasalainen publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Sanna Kaasalainen sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 119 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Sanna Kaasalainen D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Sanna Kaasalainen sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Environmental Sciences, exploring related online degrees can provide broader career opportunities. Programs in geoscience, for example, offer a strong foundation in earth systems and natural resource management. Those looking for flexible options should consider the geoscience online degree programs, which combine scientific knowledge with practical skills essential to environmental careers.

Another rapidly growing field is Geographic Information Systems (GIS), which plays a critical role in environmental data analysis and mapping. Many of the best GIS programs in the US offer online degrees that prepare students for careers in managing and interpreting spatial data.

When considering online education, affordability and program accessibility matter. Students exploring options can find a range of choices among the most affordable online general studies degree programs. These can serve as a practical entry point or complement specialized environmental studies.

For those seeking less intensive paths, research into the easiest degree to get online may help balance academic demands with personal or professional commitments while still gaining valuable knowledge applicable to environmental careers.

Best Scientists Citing Sanna Kaasalainen

Trending Scientists

Recently Published Articles