Cloud Screening with Combined MERIS and AATSR Images. - Luis Gómez-Chova; Jordi Muñoz-Marí; Emma Izquierdo-Verdiguier; Gustavo Camps-Valls; Javier Calpe-Maravilla; José F. Moreno (IGARSS (4), 2009)

Semisupervised nonlinear feature extraction for image classification. - Emma Izquierdo-Verdiguier; Luis Gómez-Chova; Lorenzo Bruzzone; Gustavo Camps-Valls (IGARSS, 2012)

Including invariances in SVM remote sensing image classification. - Emma Izquierdo-Verdiguier; Valero Laparra; Luis Gómez-Chova; Gustavo Camps-Valls (IGARSS, 2012)

Semisupervised kernel orthonormalized partial least squares. - Emma Izquierdo-Verdiguier; Jerónimo Arenas-García; Sergio Muñoz-Romero; Luis Gómez-Chova; Gustavo Camps-Valls (MLSP, 2012)

Kernel change discriminant analysis for multitemporal cloud masking. - Luis Gómez-Chova; Emma Izquierdo-Verdiguier; Julia Amorós-López; Jordi Muñoz-Marí; Gustavo Camps-Valls (IGARSS, 2013)

Advances in synergy of AATSR-MERIS sensors for cloud detection. - Luis Gómez-Chova; Jordi Muñoz-Marí; Julia Amorós-López; Emma Izquierdo-Verdiguier; Gustavo Camps-Valls (IGARSS, 2013)

A kernel regression approach to cloud and shadow detection in multitemporal images. - Julia Amorós-López; Emma Izquierdo-Verdiguier; Luis Gómez-Chova; Jordi Muñoz-Marí; Gustavo Camps-Valls (MultiTemp, 2013)

Multiset Kernel CCA for multitemporal image classification. - Jordi Muñoz-Marí; Luis Gómez-Chova; Julia Amorós-López; Emma Izquierdo-Verdiguier; Gustavo Camps-Valls (MultiTemp, 2013)

Encoding Invariances in Remote Sensing Image Classification With SVM. - Emma Izquierdo-Verdiguier; Valero Laparra; Luis Gómez-Chova; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2013)

Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis. - Emma Izquierdo-Verdiguier; Luis Gómez-Chova; Lorenzo Bruzzone; Gustavo Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2014)

Introducing co-clustering for hyperspectral image analysis. - Emma Izquierdo-Verdiguier; Raúl Zurita-Milla (IGARSS, 2015)

Spectral clustering with the probabilistic cluster kernel. - Emma Izquierdo-Verdiguier; Robert Jenssen; Luis Gómez-Chova; Gustavo Camps-Valls (Neurocomputing, 2015)

On the use of guided regularized random forests to identify crops in smallholder farm fields. - Emma Izquierdo-Verdiguier; Raúl Zurita-Milla; Rolf A. de By (MultiTemp, 2017)

Identifying crops in smallholder farms using time series of WorldView-2 images. - Raúl Zurita-Milla; Emma Izquierdo-Verdiguier; Rolf A. de By (MultiTemp, 2017)

Optimized Kernel Entropy Components. - Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Spark-Based Platform to Extract Phenological Information from Satellite Images. - Viktor Bakayov; Romulo Goncalves; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (eScience, 2018)

Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series. - Verónica Andreo; Emma Izquierdo-Verdiguier; Raúl Zurita-Milla; Roberto Rosà; Annapaola Rizzoli; Anna Papa (IGARSS, 2018)

Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval. - Emma Izquierdo-Verdiguier; Raúl Zurita-Milla (IGARSS, 2018)

A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems. - Rosa Aguilar; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier; Rolf A. de By (Remote. Sens., 2018)

Growing stock volume from multi-temporal landsat imagery through google earth engine. - Sergio Sánchez-Ruiz; Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Marta Chiesi; Fabio Maselli; María Amparo Gilabert (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets. - Laurens Bogaardt; Romulo Goncalves; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (ISPRS Int. J. Geo Inf., 2019)

Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. - Azar Zafari; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (Remote. Sens., 2019)

Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575. - Azar Zafari; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (Remote. Sens., 2019)

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. - Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Gustau Camps-Valls; Marco P. Maneta; Jordi Muñoz-Marí; Nathaniel P. Robinson; José E. Adsuara; Manuel Campos; F. Javier García-Haro; Adrián Pérez-Suay; Nicholas Clinton; John S. Kimball; et al. (IGARSS, 2020)

An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing. - Emma Izquierdo-Verdiguier; Raúl Zurita-Milla (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. - Sancho Salcedo-Sanz; Pedram Ghamisi; María Piles; Martin Werner 001; Lucas Cuadra; Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Jordi Muñoz-Marí; Amirhosein Mosavi; Gustau Camps-Valls (Inf. Fusion, 2020)

Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective. - Azar Zafari; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (IEEE Geosci. Remote. Sens. Lett., 2020)

Comparison of Harmonic Analysis of Time Series (HANTS) and Multi-Singular Spectrum Analysis (M-SSA) in Reconstruction of Long-Gap Missing Data in NDVI Time Series. - Hamid Reza Ghafarian Malamiri; Hadi Zare 003; Iman Rousta; Haraldur Olafsson; Emma Izquierdo-Verdiguier; Hao Zhang; Terence Darlington Mushore (Remote. Sens., 2020)

A Multiscale Random Forest Kernel for Land Cover Classification. - Azar Zafari; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics. - Raúl Zurita-Milla; Romulo Goncalves; Emma Izquierdo-Verdiguier; Frank O. Ostermann (IEEE Trans. Big Data, 2020)

Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. - Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; José E. Adsuara; Jordi Muñoz-Marí; Gustau Camps-Valls; Marco P. Maneta; John S. Kimball; Nicholas Clinton; Steven W. Running (IGARSS, 2021)

Remote Sensing Applications in Sugarcane Cultivation: A Review. - Jaturong Som-ard; Clement Atzberger; Emma Izquierdo-Verdiguier; Francesco Vuolo; Markus Immitzer (Remote. Sens., 2021)

Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island. - Lorenzo Carlos Quesada-Ruiz; Victor Francisco Rodriguez-Galiano; Raúl Zurita-Milla; Emma Izquierdo-Verdiguier (Int. J. Geogr. Inf. Sci., 2022)

CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes. - Francesco Nattino; Ou Ku; Meiert W. Grootes; Emma Izquierdo-Verdiguier; Serkan Girgin; Raúl Zurita-Milla (J. Open Source Softw., 2022)

Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution. - Francesco Nattino; Emma Izquierdo-Verdiguier; Pranav Chandramouli; Meiert W. Grootes; Ou Ku; Fakhereh Alidoost; Raúl Zurita-Milla (IGARSS, 2024)

Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series. - C. Rajadel-Lambistos; Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; Marco P. Maneta; Santiago Beguería; John S. Kimball; Nicholas Clinton; Clement Atzberger; Gustau Camps-Valls; Steven W. Running (Int. J. Digit. Earth, 2024)

Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand. - Savittri Ratanopad Suwanlee; Surasak Keawsomsee; Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; Sarawut Ninsawat; Jaturong Som-ard (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping. - Babak Ghassemi; Cássio Fraga Dantas; Raffaele Gaetano; Dino Ienco; Omid Ghorbanzadeh; Emma Izquierdo-Verdiguier; Francesco Vuolo (CoRR, 2025)