Pauline Stenberg

What is she best known for?

The fields of study she is best known for:

• Ecology
• Optics
• Remote sensing

Her primary scientific interests are in Canopy, Remote sensing, Leaf area index, Shoot and Vegetation. Her Canopy research is mostly focused on the topic Tree canopy. A large part of her Remote sensing studies is devoted to Hyperspectral imaging.

Her Leaf area index study incorporates themes from Wavelength, Scattering, Scots pine, Thematic Mapper and Crown. The concepts of her Shoot study are interwoven with issues in Hydrology and Interception. Her Vegetation research includes themes of Pinaceae, Atmospheric sciences, Moderate-resolution imaging spectroradiometer, Algorithm and Radiometry.

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)
• Estimation of forest canopy cover: A comparison of field measurement techniques (224 citations)

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

Pauline Stenberg focuses on Remote sensing, Canopy, Leaf area index, Taiga and Scots pine. Her Remote sensing research incorporates elements of Albedo, Radiative transfer, Boreal and Reflectivity. The various areas that Pauline Stenberg examines in her Canopy study include Scattering, Atmospheric sciences, Shoot and Photon.

Her Leaf area index research integrates issues from Plant canopy, Image resolution, Photosynthetically active radiation and Vegetation, Normalized Difference Vegetation Index. Her Taiga research is multidisciplinary, relying on both Snow, Meteorology, Climatology and Understory. Her Scots pine research focuses on subjects like Crown, which are linked to Basal area and Sampling.

She most often published in these fields:

• Remote sensing (52.78%)
• Canopy (58.33%)
• Leaf area index (45.37%)

What were the highlights of her more recent work (between 2014-2018)?

• Remote sensing (52.78%)
• Canopy (58.33%)
• Leaf area index (45.37%)

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

Pauline Stenberg mainly focuses on Remote sensing, Canopy, Leaf area index, Taiga and Atmospheric sciences. Her Hyperspectral imaging study in the realm of Remote sensing interacts with subjects such as Saturation level. Her Canopy study combines topics from a wide range of disciplines, such as Photosynthesis, Invariant, Tree species and Scots pine.

Her studies deal with areas such as Radiative transfer and Photosynthetically active radiation as well as Leaf area index. Her Taiga study incorporates themes from Climatology and Understory. Her work in the fields of Atmospheric sciences, such as Albedo, intersects with other areas such as Fraction and Biogeosciences.

Between 2014 and 2018, her most popular works were:

• Photon recollision probability in modelling the radiation regime of canopies: A review (34 citations)
• Diffuse sky radiation influences the relationship between canopy PRI and shadow fraction (30 citations)
• Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: theoretical basis (26 citations)

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

• Ecology
• Optics
• Statistics

Her primary areas of study are Remote sensing, Canopy, Leaf area index, Understory and Taiga. Her research integrates issues of Photosynthetically active radiation, Vegetation canopy, Radiative transfer, Shortwave and Normalized Difference Vegetation Index in her study of Remote sensing. Her Photosynthetically active radiation research incorporates themes from Image resolution, Hyperspectral imaging, Meteorology, Moderate-resolution imaging spectroradiometer and Spectral bands.

Her Radiative transfer research is multidisciplinary, incorporating elements of Wavelength, Photon, Absorptance, Invariant and Shortwave radiation. Pauline Stenberg combines subjects such as Snow, Forest management, Boreal and Scots pine with her study of Shortwave. Her Normalized Difference Vegetation Index study combines topics in areas such as Growing season and Tree canopy.