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.
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