World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
18301
World Ranking
4626
National Ranking
356

Overview

Philip Lewis is affiliated with University College London in the United Kingdom. Their research primarily spans the fields of Environmental Science and Agricultural and Biological Sciences, with a significant focus on subfields such as Ecology, Global and Planetary Change, Plant Science, Nature and Landscape Conservation, and Environmental Engineering.

The scientist's work covers a range of topics including Remote Sensing in Agriculture, Leaf Properties and Growth Measurement, Remote Sensing and LiDAR Applications, Climate Change Impacts on Agriculture, Land Use and Ecosystem Services, Atmospheric Aerosols and Clouds, as well as Atmospheric and Environmental Gas Dynamics.

Among their recent publications are:

  • Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI, 2022, published in Geoscientific Model Development
  • Assessment of Bias in Pan-Tropical Biomass Predictions, 2020, published in Frontiers in Forests and Global Change
  • Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction, 2022, published in Remote Sensing
  • Location, biophysical and agronomic parameters for croplands in northern Ghana, 2022, published in Earth System Science Data
  • Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Maize Yield Prediction in the U.S Midwest, 2022, published in Preprints.org

Frequent co-authors collaborating with Philip Lewis include José Gómez-Dans, Feng Yin, Kofi Asare, Patrick Lamptey, and Kenneth Aidoo.

The scientist often publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), Geoscientific Model Development, Frontiers in Forests and Global Change, Remote Sensing, and Earth System Science Data.

Best Publications

  • First operational BRDF, albedo nadir reflectance products from MODIS

    Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht

  • The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

    C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries

  • Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

    Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen

  • Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data

    David P. Roy;Y. Jin;P. E. Lewis;C. O. Justice

  • Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data

    David P. Roy;David P. Roy;Junchang Ju;Junchang Ju;Philip Lewis;Philip Lewis;Crystal Schaaf;Crystal Schaaf

  • Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements

    Luis Guanter;Luis Guanter;Christian Frankenberg;Anu Dudhia;Philip E. Lewis

  • Burned area mapping using multi-temporal moderate spatial resolution data—a bi-directional reflectance model-based expectation approach

    D.P. Roy;D.P. Roy;P.E. Lewis;C.O. Justice

  • Hyperspectral remote sensing of foliar nitrogen content.

    Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus

  • Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

    Jochem Verrelst;Zbynek Malenovsky;Zbynek Malenovsky;Christiaan van der Tol;Gustau Camps-Valls

  • Assimilation of remote sensing into crop growth models: Current status and perspectives

    Jianxi Huang;Jose L. Gómez-Dans;Hai Huang;Hongyuan Ma

  • Global retrieval of bidirectional reflectance and albedo over land from EOS MODIS and MISR data: Theory and algorithm

    W. Wanner;A. H. Strahler;B. Hu;P. Lewis

  • Geostatistical classification for remote sensing: an introduction

    P. M. Atkinson;P. Lewis

  • A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance

    David P. Roy;Hankui Zhang;Junchang Ju;Junchang Ju;Jose Luis Gomez-Dans

  • Developments in the 'validation' of satellite sensor products for the study of the land surface

    C. Justice;A. Belward;J. Morisette;P. Lewis

  • Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models

    Jean-Luc Widlowski;Malcolm Taberner;Bernard Pinty;Véronique Bruniquel-Pinel

  • Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence?

    J Grace;C Nichol;M Disney;P Lewis

  • The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

    Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams

  • Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model

    Jianxi Huang;Hongyuan Ma;Fernando Sedano;Philip Lewis

  • Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase

    B. Pinty;J.-L. Widlowski;M. Taberner;N. Gobron

  • 3d modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains

    M. Disney;P. Lewis;P. Saich

  • Theoretical noise sensitivity of BRDF and albedo retrieval from the EOS-MODIS and MISR sensors with respect to angular sampling

    W. Lucht;P. Lewis

Frequent Co-Authors

Mathias Disney
Mathias Disney University College London
Jeffrey V. Rosenfeld
Jeffrey V. Rosenfeld Monash University
Jan-Peter Muller
Jan-Peter Muller University College London
Tristan Quaife
Tristan Quaife University of Reading
Alan H. Strahler
Alan H. Strahler Boston University
Crystal B. Schaaf
Crystal B. Schaaf University of Massachusetts Boston
David P. Roy
David P. Roy Michigan State University
D. Denisov
D. Denisov Fermilab
Greg Landsberg
Greg Landsberg Brown University
A. P. Heinson
A. P. Heinson University of California, Riverside

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