Jordi Muñoz-Marí

Orcid: 0000-0002-3014-3921

According to our database1, Jordi Muñoz-Marí authored at least 84 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Drought Displacement Forecasts Can Be Improved With Twitter Data.
Proceedings of the IGARSS 2024, 2024

2023
Exploring interactions between socioeconomic context and natural hazards on human population displacement.
Dataset, November, 2023

Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System.
Rev. Iberoam. de Tecnol. del Aprendiz., August, 2023

Interpretable Long Short-Term Memory Networks for Crop Yield Estimation.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions.
IEEE Trans. Geosci. Remote. Sens., 2022

Systematic Assessment of MODTRAN Emulators for Atmospheric Correction.
IEEE Trans. Geosci. Remote. Sens., 2022

Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions.
IEEE Trans. Geosci. Remote. Sens., 2022

Retrieval of Physical Parameters With Deep Structured Kernel Regression.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Learning main drivers of crop progress and failure in Europe with interpretable machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Global Cropland Yield Monitoring with Gaussian Processes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Physics-Aware Machine Learning for Geosciences and Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources.
Inf. Fusion, 2020

Randomized kernels for large scale Earth observation applications.
CoRR, 2020

Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes.
CoRR, 2020

Living in the Physics and Machine Learning Interplay for Earth Observation.
CoRR, 2020

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Nonlinear Distribution Regression for Remote Sensing Applications.
IEEE Trans. Geosci. Remote. Sens., 2019

The Causality for Climate Competition.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

2018
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Multitemporal Cloud Masking in the Google Earth Engine.
Remote. Sens., 2018

Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference.
IEEE Geosci. Remote. Sens. Lett., 2018

Physics-aware Gaussian processes in remote sensing.
Appl. Soft Comput., 2018

Statistical Learning For End-To-End Simulations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra.
Remote. Sens., 2017

Physics-Aware Gaussian Processes for Earth Observation.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Fair Kernel Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Cloud detection on the Google Earth engine platform.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Nonlinear statistical retrieval of surface emissivity from IASI data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Cloud detection machine learning algorithms for PROBA-V.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis.
Remote. Sens., 2016

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning.
Remote. Sens., 2015

Learning Structures in Earth Observation Data with Gaussian Processes.
Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Biophysical parameter retrieval with warped Gaussian processes.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Operational cloud screening service for Sentinel-2 image time series.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Neural Networks Learn. Syst., 2014

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes.
IEEE Geosci. Remote. Sens. Lett., 2014

A unified SVM framework for signal estimation.
Digit. Signal Process., 2014

2013
Graph Matching for Adaptation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2013

Learning User's Confidence for Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2013

Multiset Kernel CCA for multitemporal image classification.
Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013

A kernel regression approach to cloud and shadow detection in multitemporal images.
Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013

Advances in synergy of AATSR-MERIS sensors for cloud detection.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Kernel change discriminant analysis for multitemporal cloud masking.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Semisupervised Classification of Remote Sensing Images With Active Queries.
IEEE Trans. Geosci. Remote. Sens., 2012

Nonlinear Statistical Retrieval of Atmospheric Profiles From MetOp-IASI and MTG-IRS Infrared Sounding Data.
IEEE Trans. Geosci. Remote. Sens., 2012

Remote sensing image segmentation by active queries.
Pattern Recognit., 2012

Putting the user into the active learning loop: Towards realistic but efficient photointerpretation.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Discovering single classes in remote sensing images with active learning.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Web Monitoring System and Gateway for Serial Communication PLC.
Proceedings of the 1st Conference on Embedded Systems, 2012

2011
Structured Output SVM for Remote Sensing Image Classification.
J. Signal Process. Syst., 2011

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2011

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification.
IEEE J. Sel. Top. Signal Process., 2011

Graph matching for efficient classifiers adaptation.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Large scale semi-supervised image segmentation with active queries.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Kernel-based retrieval of atmospheric profiles from IASI data.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2010

Cluster-based active learning for compact image classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Parallel Implementations of SVM for Earth Observation.
Proceedings of the Parallel Programming, Models and Applications in Grid and P2P Systems., 2009

Biophysical Parameter Estimation With a Semisupervised Support Vector Machine.
IEEE Geosci. Remote. Sens. Lett., 2009

Learning non-linear time-scales with kernel gamma-filters.
Neurocomputing, 2009

Cloud Screening with Combined MERIS and AATSR Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Biophysical Parameter Estimation with Adaptive Gaussian Processes.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2008

Semisupervised Image Classification With Laplacian Support Vector Machines.
IEEE Geosci. Remote. Sens. Lett., 2008

Sparse Deconvolution Using Support Vector Machines.
EURASIP J. Adv. Signal Process., 2008

Semi-Supervised Support Vector Biophysical Parameter Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2007

Nonlinear System Identification With Composite Relevance Vector Machines.
IEEE Signal Process. Lett., 2007

Combination of one-class remote sensing image classifiers.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Semi-supervised cloud screening with Laplacian SVM.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Hyperspectral image classification with mahalanobis relevance vector machines.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006
Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks, 2006

Composite kernels for hyperspectral image classification.
IEEE Geosci. Remote. Sens. Lett., 2006

400 - to 1000 - nm imaging spectrometer based on acousto-optic tunable filters.
J. Electronic Imaging, 2006

2005
SmartSpectra: Applying multispectral imaging to industrial environments.
Real Time Imaging, 2005

Implementation Challenges in Complex Adaptive Systems.
Proceedings of the 1st International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2005

2004
Crane collision modelling using a neural network approach.
Expert Syst. Appl., 2004


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