What is he best known for?
The fields of study he is best known for:
- Statistics
- Agriculture
- Machine learning
Clement Atzberger mostly deals with Remote sensing, Leaf area index, Hyperspectral imaging, Vegetation and Mean squared error.
His work on Red edge as part of general Remote sensing research is often related to Atmospheric radiative transfer codes, thus linking different fields of science.
His work is dedicated to discovering how Leaf area index, Enhanced vegetation index are connected with Soil type, Thematic Mapper, Stratification, Growing season and Atmospheric correction and other disciplines.
In his study, Ground truth, Deciduous and Biomass is inextricably linked to Land cover, which falls within the broad field of Vegetation.
His Mean squared error research is multidisciplinary, relying on both Artificial neural network, Inversion and Spectral bands.
The concepts of his Canopy study are interwoven with issues in Chlorophyll and Spectroradiometer.
His most cited work include:
- Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI (556 citations)
- Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs (438 citations)
- First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe (384 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Remote sensing, Hyperspectral imaging, Vegetation, Normalized Difference Vegetation Index and Leaf area index.
His work on Remote sensing is typically connected to Atmospheric radiative transfer codes as part of general Remote sensing study, connecting several disciplines of science.
His research in Hyperspectral imaging intersects with topics in Spectroradiometer and Linear regression.
His Vegetation research is multidisciplinary, incorporating elements of Environmental resource management, Climate change, Thematic Mapper and Earth observation.
His work in Normalized Difference Vegetation Index tackles topics such as Image resolution which are related to areas like Multispectral image.
The study incorporates disciplines such as Enhanced vegetation index, Inversion, Red edge and Spectral signature in addition to Leaf area index.
He most often published in these fields:
- Remote sensing (61.39%)
- Hyperspectral imaging (24.68%)
- Vegetation (22.15%)
What were the highlights of his more recent work (between 2016-2021)?
- Remote sensing (61.39%)
- Vegetation (22.15%)
- Random forest (11.39%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Remote sensing, Vegetation, Random forest, Artificial intelligence and Hyperspectral imaging.
Clement Atzberger studies Remote sensing which is a part of Remote sensing.
His Normalized Difference Vegetation Index study, which is part of a larger body of work in Vegetation, is frequently linked to Magnitude, bridging the gap between disciplines.
His Random forest study integrates concerns from other disciplines, such as Cartography, Prosopis, Forestry and Red edge.
His research in the fields of Artificial neural network, Segmentation and Deep learning overlaps with other disciplines such as Context.
His work in the fields of Hyperspectral imaging, such as VNIR, intersects with other areas such as Estimation.
Between 2016 and 2021, his most popular works were:
- Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study (91 citations)
- How much does multi-temporal Sentinel-2 data improve crop type classification? (87 citations)
- Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data (60 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Machine learning
- Agriculture
His primary areas of study are Random forest, Remote sensing, Vegetation, Satellite imagery and Spectral signature.
His Random forest study combines topics from a wide range of disciplines, such as Cartography, Image segmentation and Hyperspectral imaging.
His work carried out in the field of Remote sensing brings together such families of science as Smoothing and Windthrow.
Many of his research projects under Vegetation are closely connected to Vachellia tortilis with Vachellia tortilis, tying the diverse disciplines of science together.
His Satellite imagery study incorporates themes from Statistics, F1 score and Growing season.
Clement Atzberger usually deals with Spectral signature and limits it to topics linked to Forestry and Wet season, Remote sensing, Invasive species, Scale and Arid.
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