What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Ecosystem
His primary areas of investigation include Remote sensing, Land cover, Phenology, Vegetation and Moderate-resolution imaging spectroradiometer.
His Remote sensing research incorporates themes from RGB color model, Chromatic scale and Digital camera.
His work deals with themes such as Decision tree, Ancillary data and Global change, which intersect with Land cover.
His biological study spans a wide range of topics, including Climatology, Seasonality, Global warming, Ecosystem and Scale.
His Vegetation research incorporates elements of Urbanization, Atmospheric correction and Photosynthetically active radiation.
Mark A. Friedl interconnects Land use, Enhanced vegetation index, Pixel, Spatial distribution and Normalized Difference Vegetation Index in the investigation of issues within Moderate-resolution imaging spectroradiometer.
His most cited work include:
- MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets (1920 citations)
- Global land cover mapping from MODIS: algorithms and early results (1861 citations)
- Monitoring vegetation phenology using MODIS (1612 citations)
What are the main themes of his work throughout his whole career to date?
Remote sensing, Vegetation, Land cover, Phenology and Climatology are his primary areas of study.
His studies examine the connections between Remote sensing and genetics, as well as such issues in Scale, with regards to Terrestrial ecosystem.
His research integrates issues of Atmospheric sciences, Leaf area index and Biome in his study of Vegetation.
His Land cover study combines topics from a wide range of disciplines, such as Decision tree, Data mining and Statistical classification.
His Phenology study combines topics in areas such as Canopy, Climate change, Seasonality, Deciduous and Ecosystem.
His work carried out in the field of Climatology brings together such families of science as Growing season, Vegetation phenology and Precipitation.
He most often published in these fields:
- Remote sensing (47.76%)
- Vegetation (30.35%)
- Land cover (28.86%)
What were the highlights of his more recent work (between 2014-2021)?
- Phenology (26.37%)
- Remote sensing (47.76%)
- Vegetation (30.35%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Phenology, Remote sensing, Vegetation, Land cover and Atmospheric sciences.
His Phenology study incorporates themes from Climatology, Canopy, Climate change, Deciduous and Visible Infrared Imaging Radiometer Suite.
He has included themes like Pixel, Time series, Temporal scales and Moderate-resolution imaging spectroradiometer in his Remote sensing study.
The concepts of his Vegetation study are interwoven with issues in Biosphere and Seasonality.
His research in Land cover intersects with topics in Terrestrial ecosystem, Physical geography, Artificial intelligence and Scale.
His Atmospheric sciences research is multidisciplinary, incorporating perspectives in Humidity, Ecosystem, Global change and Taiga.
Between 2014 and 2021, his most popular works were:
- Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. (137 citations)
- Global rain-fed, irrigated, and paddy croplands: a new high resolution map derived from remote sensing, crop inventories and climate data (121 citations)
- Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product (104 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Climate change
Mark A. Friedl mostly deals with Phenology, Remote sensing, Vegetation, Seasonality and Land use.
The study incorporates disciplines such as Eddy covariance, Growing season, Canopy, Physical geography and Visible Infrared Imaging Radiometer Suite in addition to Phenology.
His Remote sensing research includes elements of Pixel, Climate change, Scale and Moderate-resolution imaging spectroradiometer.
His Seasonality research is multidisciplinary, incorporating elements of Sampling, Robust statistics, Prior probability and Time series.
His Land use research incorporates elements of Urban climate, Urbanization and Shrubland.
He has researched Land cover in several fields, including Cartography, Spurious relationship and Woodland.
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