World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
63
Citations
14788
World Ranking
2465
National Ranking
69

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Artificial intelligence

His primary areas of study are Remote sensing, Leaf area index, Vegetation, Spectral bands and Red edge. His biological study spans a wide range of topics, including Pixel, Canopy, Water content and Imaging spectrometer. His Leaf area index study combines topics from a wide range of disciplines, such as Multispectral image, Reflectivity, Growing season, Microwave radiometer and Atmospheric radiative transfer codes.

His Vegetation study incorporates themes from Chlorophyll, Agronomy, Spectroradiometer, Temporal resolution and Data stream. The study incorporates disciplines such as Soil water, Soil test, Contamination, Transect and Pollution in addition to Spectral bands. His studies deal with areas such as Enhanced vegetation index, Partial least squares regression, Multivariate statistics and Grassland as well as Red edge.

His most cited work include:

  • Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3 (300 citations)
  • Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (270 citations)
  • Application of a weighted infrared-red vegetation index for estimating leaf Area Index by Correcting for Soil Moisture (265 citations)

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

Jan G. P. W. Clevers spends much of his time researching Remote sensing, Canopy, Vegetation, Land cover and Leaf area index. His work deals with themes such as Image resolution, Pixel and Imaging spectrometer, which intersect with Remote sensing. The Canopy study combines topics in areas such as Picea abies, Atmospheric radiative transfer codes and Water content.

In Vegetation, Jan G. P. W. Clevers works on issues like Hydrology, which are connected to Arid. His studies in Land cover integrate themes in fields like Cartography and Satellite imagery. His Leaf area index research is multidisciplinary, incorporating perspectives in Photosynthetically active radiation, Chlorophyll and Growing season.

He most often published in these fields:

  • Remote sensing (65.27%)
  • Canopy (17.57%)
  • Vegetation (15.48%)

What were the highlights of his more recent work (between 2014-2020)?

  • Remote sensing (65.27%)
  • Canopy (17.57%)
  • Vegetation (15.48%)

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

His primary areas of investigation include Remote sensing, Canopy, Vegetation, Leaf area index and Land cover. Jan G. P. W. Clevers is interested in Zenith, which is a field of Remote sensing. Jan G. P. W. Clevers interconnects Hydrology, Pixel, Silvopasture and Normalized Difference Vegetation Index in the investigation of issues within Canopy.

His research in Vegetation intersects with topics in Random forest, Downscaling, Regression and Time series. His Leaf area index study integrates concerns from other disciplines, such as Photosynthesis, Focus, Growing season and Mean squared error. Jan G. P. W. Clevers combines subjects such as Physical geography and Greenhouse gas with his study of Land cover.

Between 2014 and 2020, his most popular works were:

  • Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (270 citations)
  • Gross changes in reconstructions of historic land cover/use for Europe between 1900 and 2010 (152 citations)
  • Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison (146 citations)

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

  • Ecology
  • Statistics
  • Artificial intelligence

His main research concerns Remote sensing, Deforestation, Land use, Vegetation and Mean squared error. His Remote sensing study combines topics in areas such as Photosynthesis, Precision agriculture, Chlorophyll, Data stream mining and Data stream. His Deforestation research incorporates themes from Global warming, Climate change, Biomass and Environmental protection.

His study in the field of Land cover and Land use, land-use change and forestry also crosses realms of Data sharing. His work carried out in the field of Vegetation brings together such families of science as Canopy and Data mining. The concepts of his Mean squared error study are interwoven with issues in Nonparametric statistics, Heteroscedasticity, Linear regression, Reflectivity and Leaf area index.

Best Publications

  • Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

    Jan G. P. W. Clevers;Anatoly A. Gitelson

  • Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review

    Jochem Verrelst;Gustau Camps-Valls;Jordi Muñoz-Marí;Juan Pablo Rivera

  • Application of a weighted infrared-red vegetation index for estimating leaf Area Index by Correcting for Soil Moisture

    J.G.P.W. Clevers

  • Review of optical-based remote sensing for plant trait mapping

    Lucie Homolova;Lucie Homolova;Zbynek Malenovsky;Jan G. P. W Clevers;Glenda Garcia-Santos

  • Algorithm theoretical basis document

    S. Huber;M.E. Schaepman;J.G.P.W. Clevers;Z. Malenovsky

  • Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison

    Jochem Verrelst;Juan Pablo Rivera;Frank Veroustraete;Jordi Muñoz-Marí

  • The Derivation of a Simplified Reflectance Model for the Estimation of Leaf Area Index

    J.G.P.W. Clevers

  • Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content

    J. G. P. W. Clevers;L. Kooistra

  • Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop

    Jan G. P. W. Clevers;Lammert Kooistra;Marnix M. M. Van den Brande

  • Gross changes in reconstructions of historic land cover/use for Europe between 1900 and 2010

    Richard Fuchs;Martin Herold;Peter H. Verburg;Jan G.P.W. Clevers

  • The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches

    Frédéric Baret;J.G.P.W. Clevers;M.D. Steven

  • Land use patterns and related carbon losses following deforestation in South America

    V. de Sy;M. Herold;F. Achard;R. Beuchle

  • Unmixing-Based Landsat TM and MERIS FR Data Fusion

    R. Zurita-Milla;J. Clevers;M.E. Schaepman

  • A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe

    R. Fuchs;M. Herold;P. H. Verburg;J. G. P. W. Clevers

  • Estimating canopy water content using hyperspectral remote sensing data

    Jan G. P. W. Clevers;Lammert Kooistra;Michael E. Schaepman

  • Efficiency and accuracy of per-field classification for operational crop mapping

    A. J. W. De Wit;J. G. P. W. Clevers

  • Derivation of the red edge index using the MERIS standard band setting

    J. G. P. W. Clevers;S. M. De Jong;G. F. Epema;F. D. Van Der Meer

  • Identification of soil heavy metal sources and improvement in spatial mapping based on soil spectral information: A case study in northwest China

    Tao Chen;Qingrui Chang;Jing Liu;J.G.P.W. Clevers

  • Retrieving sub-pixel land cover composition through an effective integration of the spatial, spectral and temporal dimensions of MERIS imagery

    R. Zurita Milla;J.G.P.W. Clevers;M.E. Schaepman;A.J. Plaza

  • Basics of remote sensing

    S.M. de Jong;F.D. van der Meer;J.G.P.W. Clevers

Frequent Co-Authors

Michael E. Schaepman
Michael E. Schaepman University of Zurich
Lammert Kooistra
Lammert Kooistra Wageningen University & Research
Harm Bartholomeus
Harm Bartholomeus Wageningen University & Research
Martin Herold
Martin Herold Wageningen University & Research
Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Jochem Verrelst
Jochem Verrelst University of Valencia
Arnold K. Bregt
Arnold K. Bregt Wageningen University & Research
Juha Suomalainen
Juha Suomalainen Wageningen University & Research
Pavel Cudlín
Pavel Cudlín Czech Academy of Sciences
Nuno Carvalhais
Nuno Carvalhais Max Planck Institute for Biogeochemistry

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