D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 32 Citations 3,998 80 World Ranking 5962 National Ranking 85

Overview

What is she best known for?

The fields of study she is best known for:

  • Optics
  • Artificial intelligence
  • Remote sensing

The scientist’s investigation covers issues in Remote sensing, Laser scanning, Optics, Laser and Lidar. Her Backscatter and Hyperspectral imaging study in the realm of Remote sensing connects with subjects such as Radiometric calibration. The Hyperspectral imaging study which covers Broadband that intersects with Optical fiber and Normalized Difference Vegetation Index.

Her Laser scanning research includes elements of Undergrowth, Point cloud, Boreal and Terrain. Sanna Kaasalainen has researched Point cloud in several fields, including Spectral imaging, Full spectral imaging, Remote sensing, Imaging spectroscopy and Algorithm. Her Laser course of study focuses on Detector and Continuous wave and Instrumentation.

Her most cited work include:

  • Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (327 citations)
  • Full waveform hyperspectral LiDAR for terrestrial laser scanning (204 citations)
  • Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods (171 citations)

What are the main themes of her work throughout her whole career to date?

Her primary areas of investigation include Remote sensing, Laser scanning, Lidar, Optics and Hyperspectral imaging. Her study in the field of Backscatter is also linked to topics like Radiometric calibration. Her Laser scanning research is multidisciplinary, incorporating perspectives in Change detection, Computer vision, Artificial intelligence, Terrain and Mobile mapping.

Her Lidar research is multidisciplinary, incorporating elements of Multispectral image, Remote sensing, Calibration, Canopy and Vegetation. Her work on Brightness, Detector and Light scattering as part of general Optics research is often related to Materials science and Range, thus linking different fields of science. The Hyperspectral imaging study combines topics in areas such as Spectral imaging, Geospatial analysis and Radiometry.

She most often published in these fields:

  • Remote sensing (70.37%)
  • Laser scanning (37.96%)
  • Lidar (36.11%)

What were the highlights of her more recent work (between 2015-2021)?

  • Lidar (36.11%)
  • Remote sensing (70.37%)
  • Hyperspectral imaging (23.15%)

In recent papers she was focusing on the following fields of study:

Lidar, Remote sensing, Hyperspectral imaging, Laser scanning and Multispectral image are her primary areas of study. Her Lidar research integrates issues from Parabolic reflector and Detection performance. She has included themes like Dependency, Point cloud and Geospatial analysis in her Hyperspectral imaging study.

Her research in Laser scanning focuses on subjects like Intensity, which are connected to Backscatter. Her study on Multispectral image also encompasses disciplines like

  • Spectroscopy together with Terrestrial laser scanning and Radiance,
  • Reflectivity together with Avalanche photodiode. As a member of one scientific family, she mostly works in the field of Laser, focusing on Specular reflection and, on occasion, Water content.

Between 2015 and 2021, her most popular works were:

  • Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners (24 citations)
  • Incidence Angle Dependency of Leaf Vegetation Indices from Hyperspectral Lidar Measurements (13 citations)
  • Uncertainty in multispectral lidar signals caused by incidence angle effects. (12 citations)

In her most recent research, the most cited papers focused on:

  • Optics
  • Artificial intelligence
  • Machine learning

Sanna Kaasalainen mostly deals with Remote sensing, Lidar, Laser scanning, Hyperspectral imaging and Laser. Her Remote sensing research is multidisciplinary, relying on both Specular reflection, Intensity and Optics. Her Specular reflection research incorporates elements of Multispectral image and Water content.

Her studies in Intensity integrate themes in fields like Snow, Scanner and Backscatter. Her studies link Wavelength with Laser. Throughout her Supercontinuum studies, Sanna Kaasalainen incorporates elements of other sciences such as Sensitivity, Digitization and Geospatial analysis.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen.
Remote Sensing (2013)

421 Citations

Full waveform hyperspectral LiDAR for terrestrial laser scanning

Teemu Hakala;Juha Suomalainen;Sanna Kaasalainen;Yuwei Chen.
Optics Express (2012)

253 Citations

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

Sanna Kaasalainen;Anttoni Jaakkola;Mikko Kaasalainen;Anssi Krooks.
Remote Sensing (2011)

237 Citations

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

Jouni I. Peltoniemi;Sanna Kaasalainen;Jyri Näränen;Jyri Näränen;Miina Rautiainen.
Remote Sensing of Environment (2005)

140 Citations

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

S. Kaasalainen;E. Ahokas;J. Hyyppa;J. Suomalainen.
IEEE Geoscience and Remote Sensing Letters (2005)

140 Citations

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

E. Ahokas;S. Kaasalainen;J. Hyyppä;J. Suomlainen.
Revue française de photogrammétrie et de télédétection (2006)

139 Citations

Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets

S. Kaasalainen;H. Hyyppa;A. Kukko;P. Litkey.
IEEE Transactions on Geoscience and Remote Sensing (2009)

132 Citations

Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets

Sanna Kaasalainen;Anssi Krooks;Antero Kukko;Harri Kaartinen.
Remote Sensing (2009)

131 Citations

Effect of incidence angle on laser scanner intensity and surface data

Antero Kukko;Sanna Kaasalainen;Paula Litkey.
Applied Optics (2008)

128 Citations

FACTORS AFFECTING THE QUALITY OF DTM GENERATION IN FORESTED AREAS

Hannu Hyyppä;Juha Hyyppä;Harri Kaartinen;Sanna Kaasalainen.
(2005)

122 Citations

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

Contact us

Best Scientists Citing Sanna Kaasalainen

Juha Hyyppä

Juha Hyyppä

Finnish Geospatial Research Institute

Publications: 120

Mikko Vastaranta

Mikko Vastaranta

University of Eastern Finland

Publications: 63

Markus Holopainen

Markus Holopainen

University of Helsinki

Publications: 61

Hannu Hyyppä

Hannu Hyyppä

Aalto University

Publications: 50

Harri Kaartinen

Harri Kaartinen

University of Turku

Publications: 47

Mathias Disney

Mathias Disney

University College London

Publications: 43

Antero Kukko

Antero Kukko

Aalto University

Publications: 33

Kim Calders

Kim Calders

Ghent University

Publications: 31

Xiaowei Yu

Xiaowei Yu

Finnish Geospatial Research Institute

Publications: 27

Norbert Pfeifer

Norbert Pfeifer

TU Wien

Publications: 26

Miina Rautiainen

Miina Rautiainen

Aalto University

Publications: 25

Anttoni Jaakkola

Anttoni Jaakkola

Finnish Geospatial Research Institute

Publications: 23

Xinlian Liang

Xinlian Liang

Finnish Geospatial Research Institute

Publications: 19

Felix Morsdorf

Felix Morsdorf

University of Zurich

Publications: 19

Petteri Alho

Petteri Alho

University of Turku

Publications: 18

Erik Næsset

Erik Næsset

Norwegian University of Life Sciences

Publications: 18

Something went wrong. Please try again later.