D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Ecology and Evolution D-index 34 Citations 3,954 101 World Ranking 5151 National Ranking 244

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Biodiversity
  • Ecosystem

Sebastian Schmidtlein spends much of his time researching Remote sensing, Hyperspectral imaging, Ecology, Partial least squares regression and Ordination. His work deals with themes such as Fuzzy set and Land use, which intersect with Remote sensing. His research integrates issues of Normalization, Indicator value, Ecological succession, Disturbance and Vegetation in his study of Hyperspectral imaging.

His research integrates issues of Machine learning and Artificial intelligence in his study of Ecology. The study incorporates disciplines such as Linear regression and Leaf area index in addition to Partial least squares regression. His Ordination study combines topics from a wide range of disciplines, such as HyMap and Regression analysis.

His most cited work include:

  • Will remote sensing shape the next generation of species distribution models (156 citations)
  • Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied? (146 citations)
  • Mapping of continuous floristic gradients in grasslands using hyperspectral imagery (145 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Remote sensing, Ecology, Vegetation, Hyperspectral imaging and Remote sensing. His Remote sensing research is multidisciplinary, incorporating elements of Partial least squares regression, Ecosystem and Invasive species. His work deals with themes such as Pixel and Environmental resource management, which intersect with Ecosystem.

His Vegetation study combines topics in areas such as Biomass, Tropics and Multispectral image. Sebastian Schmidtlein combines subjects such as Ordination, Image resolution, Indicator value, Grassland and Plant functional type with his study of Hyperspectral imaging. His Remote sensing study integrates concerns from other disciplines, such as Plant traits and Nature Conservation.

He most often published in these fields:

  • Remote sensing (39.45%)
  • Ecology (30.28%)
  • Vegetation (24.77%)

What were the highlights of his more recent work (between 2017-2021)?

  • Remote sensing (39.45%)
  • Canopy (10.09%)
  • Remote sensing (17.43%)

In recent papers he was focusing on the following fields of study:

Sebastian Schmidtlein mainly focuses on Remote sensing, Canopy, Remote sensing, Ecosystem and Vegetation. Sebastian Schmidtlein is studying Hyperspectral imaging, which is a component of Remote sensing. His research in Canopy intersects with topics in Growing season, Atmospheric sciences, Plant traits, Leaf area index and Plant strategies.

His Remote sensing study incorporates themes from Biodiversity and Field. His research in Ecosystem focuses on subjects like Habitat, which are connected to Regression analysis and Landscape planning. His Vegetation research incorporates elements of Forest management, Biomass, Class and Fuzzy classification.

Between 2017 and 2021, his most popular works were:

  • Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring (44 citations)
  • Differentiating plant functional types using reflectance: which traits make the difference? (28 citations)
  • Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery (19 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Biodiversity
  • Ecosystem

Sebastian Schmidtlein focuses on Field, Ecosystem, Remote sensing, Biodiversity and Satellite imagery. His work carried out in the field of Ecosystem brings together such families of science as Arid, Effects of global warming, Grazing and Land use. Sebastian Schmidtlein conducts interdisciplinary study in the fields of Remote sensing and Exploit through his works.

His studies deal with areas such as Sampling, Sampling design, Cartography and Spatial heterogeneity as well as Biodiversity. His Satellite imagery research incorporates themes from Species richness, Distance matrices in phylogeny and Species diversity. As a part of the same scientific study, Sebastian Schmidtlein usually deals with the Remote sensing, concentrating on Natura 2000 and frequently concerns with Vegetation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Will remote sensing shape the next generation of species distribution models

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Remote Sensing in Ecology and Conservation (2015)

307 Citations

Mapping of continuous floristic gradients in grasslands using hyperspectral imagery

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Remote Sensing of Environment (2004)

219 Citations

Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied?

Dennis Rödder;Sebastian Schmidtlein;Michael Veith;Stefan Lötters.
PLOS ONE (2009)

211 Citations

Global Amphibian Extinction Risk Assessment for the Panzootic Chytrid Fungus

Dennis Rödder;Jos Kielgast;Jon Bielby;Sebastian Schmidtlein.
Diversity (2009)

189 Citations

Mapping plant strategy types using remote sensing

.
Journal of Vegetation Science (2012)

147 Citations

A comparative framework for broad‐scale plot‐based vegetation classification

.
Applied Vegetation Science (2015)

147 Citations

Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives

Angela Lausch;L Bannehr;Michael Beckmann;Christoph Boehm.
Ecological Indicators (2016)

145 Citations

Brightness-normalized Partial Least Squares Regression for hyperspectral data

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Journal of Quantitative Spectroscopy & Radiative Transfer (2010)

134 Citations

Uncertainty in ecosystem mapping by remote sensing

.
Computers & Geosciences (2013)

132 Citations

Mapping the floristic continuum : Ordination space position estimated from imaging spectroscopy

.
Journal of Vegetation Science (2007)

121 Citations

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