What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Remote sensing
- Optics
Remote sensing, Vegetation, Leaf area index, Moderate-resolution imaging spectroradiometer and Radiometry are his primary areas of study.
His biological study spans a wide range of topics, including Albedo, Atmospheric correction, Spectroradiometer, Photosynthetically active radiation and Radiative transfer.
Yuri Knyazikhin interconnects Biosphere, Amazon rainforest, Rainforest, Dry season and Spectral bands in the investigation of issues within Vegetation.
His studies deal with areas such as Precipitation, Phenology, Transect, Scale and Algorithm as well as Leaf area index.
His study focuses on the intersection of Moderate-resolution imaging spectroradiometer and fields such as Deciduous with connections in the field of Evergreen, Atmospheric sciences, Hydrology, Understory and Atmospheric radiative transfer codes.
His Radiometry research includes elements of Multispectral pattern recognition, Meteorology and Normalized Difference Vegetation Index.
His most cited work include:
- Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data (1378 citations)
- The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research (1084 citations)
- Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data (691 citations)
What are the main themes of his work throughout his whole career to date?
Yuri Knyazikhin mainly focuses on Remote sensing, Radiative transfer, Leaf area index, Vegetation and Canopy.
His Remote sensing research integrates issues from Meteorology, Spectroradiometer, Photosynthetically active radiation and Moderate-resolution imaging spectroradiometer.
The Moderate-resolution imaging spectroradiometer study combines topics in areas such as Atmospheric correction, Thematic Mapper, Normalized Difference Vegetation Index and Radiometry.
His Radiative transfer study combines topics from a wide range of disciplines, such as Zenith, Scattering and Radiance.
He combines subjects such as Image resolution, Pixel, Satellite, Scale and Algorithm with his study of Leaf area index.
His Vegetation study incorporates themes from Seasonality, Growing season, Climatology and Biome.
He most often published in these fields:
- Remote sensing (66.11%)
- Radiative transfer (28.33%)
- Leaf area index (26.11%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (66.11%)
- Leaf area index (26.11%)
- Radiative transfer (28.33%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Remote sensing, Leaf area index, Radiative transfer, EPIC and Reflectivity.
His Radiometer study, which is part of a larger body of work in Remote sensing, is frequently linked to Observatory, bridging the gap between disciplines.
His research in Leaf area index intersects with topics in Soil science, Biome and Moderate-resolution imaging spectroradiometer.
Yuri Knyazikhin focuses mostly in the field of Moderate-resolution imaging spectroradiometer, narrowing it down to matters related to Photosynthetically active radiation and, in some cases, Temporal resolution and Visible Infrared Imaging Radiometer Suite.
His Radiative transfer research incorporates themes from Canopy, Vegetation and Photon.
His work in the fields of Reflectivity, such as Nir reflectance, intersects with other areas such as Earth.
Between 2017 and 2021, his most popular works were:
- Earth Observations from DSCOVR/EPIC Instrument. (56 citations)
- Post-drought decline of the Amazon carbon sink. (41 citations)
- Analysis of Global LAI/FPAR Products from VIIRS and MODIS Sensors for Spatio-Temporal Consistency and Uncertainty from 2012–2016 (29 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Optics
- Remote sensing
Yuri Knyazikhin spends much of his time researching Remote sensing, Leaf area index, Radiative transfer, Photosynthetically active radiation and Observatory.
His study in Remote sensing is interdisciplinary in nature, drawing from both Pixel and Wavelength.
His work deals with themes such as Spatial ecology and Biome, which intersect with Leaf area index.
The study incorporates disciplines such as Vegetation remote sensing, Canopy and Photon in addition to Radiative transfer.
As a member of one scientific family, he mostly works in the field of Photosynthetically active radiation, focusing on Moderate-resolution imaging spectroradiometer and, on occasion, Vegetation.
His studies in NASA Deep Space Network integrate themes in fields like Irradiance, Sunset, Satellite, Shortwave and Sunlight.
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