What is he best known for?
The fields of study he is best known for:
- Optics
- Ecology
- Statistics
His primary scientific interests are in Remote sensing, Canopy, Meteorology, Aerosol and Leaf area index.
His Remote sensing research is multidisciplinary, incorporating perspectives in Radiation transfer, Bidirectional reflectance distribution function, Tree canopy, Atmospheric radiative transfer codes and Monte Carlo method.
His Canopy research is multidisciplinary, relying on both Atmospheric sciences, Mean squared error, Altimeter, Lidar and Digital elevation model.
His study in Meteorology is interdisciplinary in nature, drawing from both SCIAMACHY and Radiance.
His Aerosol research incorporates elements of Underdetermined system, Algorithm and Single pixel.
The study incorporates disciplines such as Absorption, Sampling and Plant cover, Vegetation, Normalized Difference Vegetation Index in addition to Leaf area index.
His most cited work include:
- Amazon forests maintain consistent canopy structure and greenness during the dry season (267 citations)
- Remote sensing of canopy light use efficiency using the photochemical reflectance index (267 citations)
- Three-dimensional forest light interaction model using a Monte Carlo method (251 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Remote sensing, Aerosol, Meteorology, Canopy and Atmospheric radiative transfer codes.
His Remote sensing study incorporates themes from Radiative transfer and Vegetation.
His Aerosol research focuses on Moderate-resolution imaging spectroradiometer and how it connects with Land cover and Spectroradiometer.
His work in Meteorology covers topics such as Bidirectional reflectance distribution function which are related to areas like Ray tracing and Diffuse sky radiation.
His work deals with themes such as Atmospheric sciences and Radiance, which intersect with Canopy.
His Atmospheric radiative transfer codes study integrates concerns from other disciplines, such as Hyperspectral imaging, Spectrometer, Leaf area index, Mean squared error and Taiga.
He most often published in these fields:
- Remote sensing (66.94%)
- Aerosol (28.93%)
- Meteorology (23.14%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (66.94%)
- Aerosol (28.93%)
- Radiative transfer (16.53%)
In recent papers he was focusing on the following fields of study:
Peter North mainly investigates Remote sensing, Aerosol, Radiative transfer, AERONET and Atmospheric radiative transfer codes.
His Remote sensing research integrates issues from Photon counting and Canopy.
He is studying AATSR, which is a component of Aerosol.
Peter North focuses mostly in the field of Radiative transfer, narrowing it down to matters related to Atmospheric sciences and, in some cases, Optical depth and Angstrom exponent.
The various areas that Peter North examines in his AERONET study include Optical instrument and Radiometry.
His Hyperspectral imaging study combines topics from a wide range of disciplines, such as Vegetation and Radiance.
Between 2017 and 2021, his most popular works were:
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (91 citations)
- Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. (80 citations)
- Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods (63 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Ecology
- Statistics
Peter North spends much of his time researching Remote sensing, Imaging spectroscopy, Multicollinearity, Regression and Parametric statistics.
Peter North studies Remote sensing, namely Remote sensing.
The Imaging spectroscopy study combines topics in areas such as Canopy, Vegetation and Time series.
His Multicollinearity research includes themes of Data stream mining, Data mining, Nonparametric regression, Earth observation and Data stream.
His research on Regression frequently connects to adjacent areas such as Spectroradiometer.
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