What is she best known for?
The fields of study she is best known for:
- Ecology
- Statistics
- Optics
Her scientific interests lie mostly in Remote sensing, Leaf area index, Canopy, Scots pine and Vegetation.
Her study in Remote sensing is interdisciplinary in nature, drawing from both Tree canopy, Radiative transfer and Understory.
Her study focuses on the intersection of Understory and fields such as Boreal with connections in the field of Tree species and Photosynthesis.
Her work deals with themes such as Pixel, Picea abies, Wavelength and Normalized Difference Vegetation Index, which intersect with Leaf area index.
Her Canopy study combines topics from a wide range of disciplines, such as Lidar and Hyperspectral imaging.
Her work investigates the relationship between Vegetation and topics such as Taiga that intersect with problems in Growing season.
Her most cited work include:
- Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup (322 citations)
- Hyperspectral remote sensing of foliar nitrogen content. (286 citations)
- MODIS leaf area index products: from validation to algorithm improvement (253 citations)
What are the main themes of her work throughout her whole career to date?
Miina Rautiainen focuses on Remote sensing, Canopy, Taiga, Leaf area index and Vegetation.
Her Hyperspectral imaging study in the realm of Remote sensing interacts with subjects such as Scots pine.
She works mostly in the field of Canopy, limiting it down to topics relating to Sampling and, in certain cases, Basal area.
Her work carried out in the field of Taiga brings together such families of science as Forest inventory, Atmospheric sciences, Reflectivity and Seasonality.
As part of the same scientific family, Miina Rautiainen usually focuses on Leaf area index, concentrating on Photosynthetically active radiation and intersecting with Meteorology.
She interconnects Satellite imagery, Remote sensing, Hemiboreal, Climate change and Physical geography in the investigation of issues within Vegetation.
She most often published in these fields:
- Remote sensing (72.33%)
- Canopy (38.99%)
- Taiga (37.74%)
What were the highlights of her more recent work (between 2017-2021)?
- Remote sensing (72.33%)
- Albedo (18.24%)
- Leaf area index (37.11%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Remote sensing, Albedo, Leaf area index, Taiga and Canopy.
The study incorporates disciplines such as Scattering, Prior probability and Photon in addition to Remote sensing.
Her Albedo research incorporates themes from Climatology, Climate change, Deciduous, Land cover and Physical geography.
Within one scientific family, Miina Rautiainen focuses on topics pertaining to Bayesian probability under Leaf area index, and may sometimes address concerns connected to Single-scattering albedo and Seasonality.
Her Taiga research is multidisciplinary, incorporating perspectives in Forest inventory and Tree canopy.
Her primary area of study in Canopy is in the field of Understory.
Between 2017 and 2021, her most popular works were:
- Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory Measurements (42 citations)
- Clarifying the role of radiative mechanisms in the spatio-temporal changes of land surface temperature across the Horn of Africa (14 citations)
- The impact of tree canopy structure on understory variation in a boreal forest (12 citations)
In her most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Optics
Miina Rautiainen mostly deals with Remote sensing, Albedo, Understory, Canopy and Vegetation.
Remote sensing and Image Series are two areas of study in which Miina Rautiainen engages in interdisciplinary research.
Her Albedo research incorporates elements of Climate change and Radiative forcing.
Her Radiative forcing research incorporates themes from Forest management and Taiga.
She works mostly in the field of Understory, limiting it down to concerns involving Leaf area index and, occasionally, Temperate climate.
The study incorporates disciplines such as Productivity, Forest inventory and Forestry in addition to Canopy.
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