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Earth Science

D-Index
35
Citations
9001
World Ranking
7435
National Ranking
583

Overview

Cécile Gomez is affiliated with the Institut de Recherche pour le Développement in France. Their research focuses primarily on environmental science and computer science, with significant contributions spanning several subfields including environmental engineering, artificial intelligence, soil science, ecology, and mechanical engineering.

Their work covers a variety of topics, notably soil geostatistics and mapping, geochemistry and geologic mapping, remote sensing in agriculture, mineral processing and grinding, soil carbon and nitrogen dynamics, soil erosion and sediment transport, and spectroscopy and chemometric analyses.

Prominent publication venues for Cécile Gomez include Geoderma with eight publications, Remote Sensing with seven, Geoderma Regional with three, The Science of The Total Environment with two, and The Innovation with two.

Frequent co-authors collaborating with Gomez are S. Dharumarajan, Dominique Arrouays, Budiman Minasny, Sabine Chabrillat, and José Alexandre Melo Demattê, indicating a collaborative approach in their research work across multiple fields and studies.

Representative recent papers by Cécile Gomez include:

  • Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century, 2022, European Journal of Soil Science
  • Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands, 2020, International Journal of Applied Earth Observation and Geoinformation
  • Analysing the impact of soil spatial sampling on the performances of Digital Soil Mapping models and their evaluation: A numerical experiment on Quantile Random Forest using clay contents obtained from Vis-NIR-SWIR hyperspectral imagery, 2020, Geoderma
  • Using PRISMA Hyperspectral Satellite Imagery and GIS Approaches for Soil Fertility Mapping (FertiMap) in Northern Morocco, 2022, Remote Sensing
  • Mean spectral reflectance from bare soil pixels along a Landsat-TM time series to increase both the prediction accuracy of soil clay content and mapping coverage, 2021, Geoderma

Best Publications

  • Global Mineralogical and Aqueous Mars History Derived from OMEGA/Mars Express Data

    Jean-Pierre Bibring;Yves Langevin;John F. Mustard;François Poulet

  • Phyllosilicates on Mars and implications for early martian climate

    F. Poulet;J.-P. Bibring;J. F. Mustard;A. Gendrin

  • A global spectral library to characterize the world’s soil

    R.A. Viscarra Rossel;T. Behrens;E. Ben-Dor;D.J. Brown

  • Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study

    Cécile Gomez;Raphael A. Viscarra Rossel;Alex B. McBratney

  • Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

    Jingfeng Xiao;Frederic Chevallier;Cecile Gomez;Luis Guanter

  • Continuum removal versus PLSR method for clay and calcium carbonate content estimation from laboratory and airborne hyperspectral measurements

    Cécile Gomez;Philippe Lagacherie;Guillaume Coulouma

  • Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS)

    L. Cecillon;Bernard Barthès;Cécile Gomez;D. Ertlen

  • Martian surface mineralogy from Observatoire pour la Minéralogie, l'Eau, les Glaces et l'Activité on board the Mars Express spacecraft (OMEGA/MEx): Global mineral maps

    F. Poulet;C. Gomez;J.-P. Bibring;Y. Langevin

  • Phyllosilicates in the Mawrth Vallis region of Mars

    D. Loizeau;N. Mangold;F. Poulet;J.-P. Bibring

  • Imaging Spectroscopy for Soil Mapping and Monitoring

    S. Chabrillat;E. Ben-Dor;J. Cierniewski;C. Gomez

  • Sentinel-2 image capacities to predict common topsoil properties of temperate and Mediterranean agroecosystems

    E. Vaudour;C. Gomez;Y. Fouad;P. Lagacherie

  • Regional predictions of eight common soil properties and their spatial structures from hyperspectral Vis–NIR data

    Cécile Gomez;Philippe Lagacherie;Guillaume Coulouma

  • Using ASTER remote sensing data set for geological mapping, in Namibia

    Cécile Gomez;Christophe Delacourt;Pascal Allemand;Patrick Ledru

  • Which strategy is best to predict soil properties of a local site from a national Vis–NIR database?

    Fabien Gogé;Cécile Gomez;Claudy Jolivet;Richard Joffre

  • Satellite data integration for soil clay content modelling at a national scale

    T. Loiseau;S. Chen;S. Chen;V.L. Mulder;M. Román Dobarco

  • Predictive ability of soil properties to spectral degradation from laboratory Vis-NIR spectroscopy data

    Karine R.M. Adeline;Cecile Gomez;N. Gorretta;J.M. Roger

  • Mineralogy of Terra Meridiani and western Arabia Terra from OMEGA/MEx and implications for their formation

    F. Poulet;R.E. Arvidson;C. Gomez;R.V. Morris

  • Hydration state of the Martian surface as seen by Mars Express OMEGA: 1. Analysis of the 3 μm hydration feature

    D. Jouglet;F. Poulet;R. E. Milliken;J. F. Mustard

  • Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands

    Emmanuelle Vaudour;Cécile Gomez;Philippe Lagacherie;Thomas Loiseau

  • Sensitivity of clay content prediction to spectral configuration of VNIR/SWIR imaging data, from multispectral to hyperspectral scenarios

    Cécile Gomez;Karine R.M. Adeline;Sinan Bacha;Bart Driessen

Frequent Co-Authors

Philippe Lagacherie
Philippe Lagacherie University of Montpellier
Yves Langevin
Yves Langevin University of Paris-Saclay
Dominique Arrouays
Dominique Arrouays INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Jean-Pierre Bibring
Jean-Pierre Bibring University of Paris-Saclay
François Poulet
François Poulet University of Paris-Saclay
John F. Mustard
John F. Mustard Brown University
Brigitte Gondet
Brigitte Gondet University of Paris-Saclay
Pascal Allemand
Pascal Allemand École Normale Supérieure de Lyon
Christophe Delacourt
Christophe Delacourt University of Western Brittany
Nicolas P.A. Saby
Nicolas P.A. Saby INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

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