What is he best known for?
The fields of study he is best known for:
- Ecology
- Oceanography
- Phytoplankton
His scientific interests lie mostly in Phytoplankton, Oceanography, Ecology, Irradiance and Remote sensing.
Trevor Platt is interested in Photic zone, which is a branch of Phytoplankton.
He combines subjects such as Photosynthesis, Nitrate and Ecosystem with his study of Oceanography.
In the subject of general Ecology, his work in Spring bloom, Algal bloom and Ecology is often linked to Heat of combustion, thereby combining diverse domains of study.
Trevor Platt has included themes like Computation and Absorption in his Irradiance study.
The various areas that Trevor Platt examines in his Remote sensing study include Water column, Coastal Zone Color Scanner, Ocean color, Attenuation coefficient and Seawater.
His most cited work include:
- The Sorcerer II Global Ocean Sampling Expedition: Northwest Atlantic through Eastern Tropical Pacific (1647 citations)
- Mathematical formulation of the relationship between photosynthesis and light for phytoplankton (1573 citations)
- Photoinhibition of photosynthesis in natural assemblages of marine phytoplankton (1333 citations)
What are the main themes of his work throughout his whole career to date?
Trevor Platt mainly investigates Phytoplankton, Oceanography, Remote sensing, Ecology and Photosynthesis.
His Phytoplankton research focuses on subjects like Atmospheric sciences, which are linked to Nitrate.
Trevor Platt regularly links together related areas like Ecosystem in his Oceanography studies.
His Remote sensing course of study focuses on SeaWiFS and Climatology.
His Photosynthesis study incorporates themes from Water column and Irradiance.
His study explores the link between Spring bloom and topics such as Bloom that cross with problems in Algal bloom.
He most often published in these fields:
- Phytoplankton (57.59%)
- Oceanography (47.15%)
- Remote sensing (21.20%)
What were the highlights of his more recent work (between 2015-2021)?
- Phytoplankton (57.59%)
- Oceanography (47.15%)
- Remote sensing (21.20%)
In recent papers he was focusing on the following fields of study:
His main research concerns Phytoplankton, Oceanography, Remote sensing, Climate change and Upwelling.
His work deals with themes such as Sea surface temperature, Marine ecosystem, Atmospheric sciences, Forcing and Irradiance, which intersect with Phytoplankton.
His research on Oceanography focuses in particular on Ocean current.
Trevor Platt interconnects SeaWiFS, Remote sensing reflectance and Bloom in the investigation of issues within Remote sensing.
His Climate change research incorporates themes from Remote sensing, Pixel, Ocean color and Chlorophyll a.
His Upwelling study combines topics from a wide range of disciplines, such as Temperate climate, Productivity, Pelagic zone, Fishery and Monsoon.
Between 2015 and 2021, his most popular works were:
- Ocean-colour products for climate-change studies: What are their ideal characteristics? (51 citations)
- An ocean-colour time series for use in climate studies: The experience of the ocean-colour climate change initiative (OC-CCI) (45 citations)
- Impact of El Niño Variability on Oceanic Phytoplankton (45 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Oceanography
- Statistics
His primary scientific interests are in Phytoplankton, Climatology, Oceanography, Climate change and Remote sensing.
Trevor Platt has researched Phytoplankton in several fields, including Photosynthesis, Sea surface temperature, Ecosystem and Biogeochemistry.
He focuses mostly in the field of Ecosystem, narrowing it down to topics relating to Plankton and, in certain cases, Chlorophyll, Allometry and Picoplankton.
His work in Climatology tackles topics such as Marine ecosystem which are related to areas like Radiometry.
His studies deal with areas such as Empirical orthogonal functions and Earth observation as well as Oceanography.
The study incorporates disciplines such as SeaWiFS, Pixel, Atmospheric correction and Radiance in addition to Climate change.
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.
