What is he best known for?
The fields of study he is best known for:
- Ecology
- Botany
- Agriculture
Martin Schlerf focuses on Remote sensing, Hyperspectral imaging, Leaf area index, HyMap and Canopy.
Martin Schlerf combines subjects such as Atmospheric radiative transfer codes, Radiative transfer and Precision agriculture with his study of Remote sensing.
His Leaf area index study incorporates themes from Mean squared error, Inversion and Partial least squares regression.
His Canopy research is multidisciplinary, incorporating elements of Chlorophyll and Spectroradiometer.
His studies in Spectroradiometer integrate themes in fields like Statistics, Multivariate statistics and Least squares.
He interconnects Multispectral image and Linear regression in the investigation of issues within Red edge.
His most cited work include:
- Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland (331 citations)
- LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements (288 citations)
- Remote sensing of forest biophysical variables using HyMap imaging spectrometer data (269 citations)
What are the main themes of his work throughout his whole career to date?
Martin Schlerf mainly focuses on Remote sensing, Hyperspectral imaging, Canopy, HyMap and Leaf area index.
His Remote sensing research is multidisciplinary, relying on both Emissivity, Mean squared error, Partial least squares regression, Vegetation and Atmospheric radiative transfer codes.
His research in Hyperspectral imaging intersects with topics in Remote sensing, Linear regression and Imaging spectrometer.
His Canopy research incorporates elements of Soil science, Soil water, Grassland and Spectral bands.
His HyMap research includes elements of Mangrove, Picea abies, Chlorophyll and Spatial variability.
His Leaf area index research integrates issues from Statistics, Inversion and Atmospheric sciences.
He most often published in these fields:
- Remote sensing (70.09%)
- Hyperspectral imaging (52.14%)
- Canopy (17.95%)
What were the highlights of his more recent work (between 2015-2021)?
- Remote sensing (70.09%)
- Hyperspectral imaging (52.14%)
- Emissivity (11.97%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Remote sensing, Hyperspectral imaging, Emissivity, Atmospheric sciences and Transpiration.
His Remote sensing research includes themes of End-to-end principle, Separation and Thermal.
His work in the fields of Hyperspectral imaging, such as Imaging spectroscopy, overlaps with other areas such as Copernicus.
His biological study spans a wide range of topics, including VNIR, Reflectivity, Ground sample distance, Panchromatic film and Meteorology.
His Atmospheric sciences research focuses on subjects like Latent heat, which are linked to Leaf area index and Vegetation.
His work focuses on many connections between Transpiration and other disciplines, such as Normalized Difference Vegetation Index, that overlap with his field of interest in Temperate deciduous forest, Phenology, Temperate forest and Ecosystem.
Between 2015 and 2021, his most popular works were:
- Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation. (55 citations)
- Water stress detection in potato plants using leaf temperature, emissivity, and reflectance (44 citations)
- Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review (33 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Botany
- Agriculture
His main research concerns Remote sensing, Hyperspectral imaging, Emissivity, Water content and Canopy.
Martin Schlerf has included themes like Water stress, Agriculture and Thermal in his Remote sensing study.
His studies deal with areas such as Thermal infrared remote sensing and Crop water stress as well as Hyperspectral imaging.
Martin Schlerf has researched Emissivity in several fields, including Absorption, Imaging spectroscopy and Imaging spectrometer.
His work carried out in the field of Water content brings together such families of science as Photochemical Reflectance Index, VNIR, Thermography and Stomatal conductance.
His study in Canopy is interdisciplinary in nature, drawing from both Regression analysis, Range, Vegetation and Regression.
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