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Jordi Muñoz-Marí

Jordi Muñoz-Marí

D-Index & Metrics

Computer Science

D-Index
40
Citations
9955
World Ranking
9116
National Ranking
139

Overview

Jordi Muñoz-Marí is affiliated with the University of Valencia in Spain and has a research focus centered primarily in the field of Environmental Science. Their academic contributions span several subfields, including Ecology, Global and Planetary Change, Environmental Engineering, Media Technology, and Atmospheric Science.

Their work covers a range of topics relevant to remote sensing and environmental monitoring. Key areas of research include:

  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Climate variability and models
  • Tropical and Extratropical Cyclones Research
  • Species Distribution and Climate Change
  • Urban Heat Island Mitigation
  • Leaf Properties and Growth Measurement

Jordi Muñoz-Marí has contributed to multiple peer-reviewed journals and publication venues throughout their career. Frequent venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science Advances

The scientist's recent papers illustrate their active engagement in advancing remote sensing methodologies and applications:

  • "A unified vegetation index for quantifying the terrestrial biosphere," 2021, published in Science Advances
  • "Estimation of vegetation traits with kernel NDVI," 2022, published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud," 2020, published in Remote Sensing of Environment
  • "Interpretable Long Short-Term Memory Networks for Crop Yield Estimation," 2023, published in IEEE Geoscience and Remote Sensing Letters
  • "Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)," 2020, published in Geoscientific Model Development

The scientist frequently collaborates with a group of coauthors who have contributed to a significant number of joint publications. Notable frequent coauthors include:

  • Gustau Camps-Valls
  • María Piles
  • Adrián Pérez-Suay
  • Álvaro Moreno-Martínez
  • Anna Mateo-Sanchis

Best Publications

  • Composite kernels for hyperspectral image classification

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J. Vila-Frances

  • Inferring causation from time series in Earth system sciences

    Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

  • 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

  • A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

    Devis Tuia;Michele Volpi;Loris Copa;Mikhail Kanevski

  • Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J.L. Rojo-Alvarez

  • 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

  • Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

    Jordi Mũnoz-Marí;Francesca Bovolo;Luis Gómez-Chova;Lorenzo Bruzzone

  • Semisupervised Image Classification With Laplacian Support Vector Machines

    L. Gomez-Chova;G. Camps-Valls;J. Munoz-Mari;J. Calpe

  • A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation

    Gustau Camps-Valls;Jochem Verrelst;Jordi Munoz-Mari;Valero Laparra

  • Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

    Sancho Salcedo-Sanz;Pedram Ghamisi;Maria Piles;Martin Werner

  • A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

    J. Munoz-Marf;L. Bruzzone;G. Camps-Vails

  • Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters

    Juan Pablo Rivera Caicedo;Jochem Verrelst;Jordi Munoz-Mari;Jose Moreno

  • Multitemporal Cloud Masking in the Google Earth Engine

    Gonzalo Mateo-García;Luis Gómez-Chova;Julia Amorós-López;Jordi Muñoz-Marí

  • Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

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

  • Retrieval of oceanic chlorophyll concentration with relevance vector machines

    Gustavo Camps-Valls;Luis Gómez-Chova;Jordi Muñoz-Marí;Joan Vila-Francés

  • Support Vector Machines for Nonlinear Kernel ARMA System Identification

    M. Martinez-Ramon;J.L. Rojo-Alvarez;G. Camps-Valls;J. Munoz-Mari

  • On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

    Fernando García-Vílchez;Jordi Muñoz-Marí;Maciel Zortea;Ian Blanes

  • Synergistic integration of optical and microwave satellite data for crop yield estimation.

    Anna Mateo-Sanchis;Maria Piles;Jordi Muñoz-Marí;Jose E. Adsuara

  • Divisive normalization image quality metric revisited.

    Valero Laparra;Jordi Muñoz-Marí;Jesús Malo

  • Graph Matching for Adaptation in Remote Sensing

    D. Tuia;J. Munoz-Mari;L. Gomez-Chova;J. Malo

  • Semisupervised Classification of Remote Sensing Images With Active Queries

    J. Munoz-Mari;D. Tuia;G. Camps-Valls

  • Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

    Álvaro Moreno-Martínez;Álvaro Moreno-Martínez;Emma Izquierdo-Verdiguier;Marco P. Maneta;Gustau Camps-Valls

Frequent Co-Authors

Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Jochem Verrelst
Jochem Verrelst University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Luca Martino
Luca Martino King Juan Carlos University
Steven W. Running
Steven W. Running University of Montana
Miguel D. Mahecha
Miguel D. Mahecha Leipzig University
Luis Guanter
Luis Guanter Universitat Politècnica de València
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry

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