What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Remote sensing, Vegetation, Imaging spectrometer, Normalized Difference Vegetation Index and Climatology.
Michael E. Schaepman mostly deals with Hyperspectral imaging in his studies of Remote sensing.
Michael E. Schaepman works mostly in the field of Vegetation, limiting it down to concerns involving Land cover and, occasionally, Ecological network, Natura 2000, Environmental protection, Spatial analysis and Habitats Directive.
His work carried out in the field of Imaging spectrometer brings together such families of science as Thematic Mapper, Imaging spectroscopy and Radiance.
Michael E. Schaepman combines subjects such as Biosphere, Greening, Primary production, Phenology and Biome with his study of Climatology.
His studies deal with areas such as Seasonality, Climate change and Growing season as well as Phenology.
His most cited work include:
- Reflectance quantities in optical remote sensing - definitions and case studies (756 citations)
- Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006 (689 citations)
- Proxy global assessment of land degradation (558 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Remote sensing, Imaging spectrometer, Hyperspectral imaging, Vegetation and Imaging spectroscopy.
His research in Remote sensing intersects with topics in Canopy, Spectrometer and Radiative transfer.
He has researched Canopy in several fields, including Atmospheric radiative transfer codes and Leaf area index.
His study in Imaging spectrometer is interdisciplinary in nature, drawing from both Pixel, Prism, Spectral bands and Calibration.
The study incorporates disciplines such as Biomass, Ecosystem and Hydrology in addition to Vegetation.
His study focuses on the intersection of Ecosystem and fields such as Biodiversity with connections in the field of Environmental resource management.
He most often published in these fields:
- Remote sensing (66.14%)
- Imaging spectrometer (18.25%)
- Hyperspectral imaging (15.26%)
What were the highlights of his more recent work (between 2016-2021)?
- Remote sensing (66.14%)
- Ecosystem (8.07%)
- Biodiversity (4.91%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Remote sensing, Ecosystem, Biodiversity, Vegetation and Phenology.
His research is interdisciplinary, bridging the disciplines of Satellite and Remote sensing.
His Ecosystem research is multidisciplinary, incorporating perspectives in Growing season, Biomass, Information theory, Grassland and Scale.
The various areas that he examines in his Biodiversity study include Sustainable development, Global change, Environmental resource management and Ecosystem services.
The various areas that Michael E. Schaepman examines in his Vegetation study include Radiative transfer and Leaf area index.
Michael E. Schaepman combines subjects such as Snow, Climatology, Physical geography and Precipitation with his study of Phenology.
Between 2016 and 2021, his most popular works were:
- Mapping functional diversity from remotely sensed morphological and physiological forest traits. (100 citations)
- Evaluation of digital soil mapping approaches with large sets of environmental covariates (67 citations)
- Monitoring biodiversity change through effective global coordination (57 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Artificial intelligence
Michael E. Schaepman focuses on Remote sensing, Ecosystem, Vegetation, Biodiversity and Remote sensing.
His Remote sensing research incorporates elements of Albedo, Canopy and Satellite.
His studies in Ecosystem integrate themes in fields like Terrain, Grassland, Relevance and Growing season.
His studies deal with areas such as Spectral signature, Shortwave radiation, Evapotranspiration and Leaf angle distribution as well as Vegetation.
His Biodiversity research incorporates themes from Environmental resource management, Sustainable development, Earth observation, Global change and Ecosystem model.
In his study, Ecological indicator, Grazing and Hyperspectral imaging is strongly linked to Multispectral image, which falls under the umbrella field of Remote sensing.
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