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ORCIDEmma Izquierdo-Verdiguier
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2020 – today
- 2024
[c17]Francesco Nattino, Emma Izquierdo-Verdiguier, Pranav Chandramouli, Meiert W. Grootes, Ou Ku, Fakhereh Alidoost, Raúl Zurita-Milla:
Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution. IGARSS 2024: 996-999- 2022
- [j18]Lorenzo Carlos Quesada-Ruiz
, Victor Francisco Rodriguez-Galiano, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island. Int. J. Geogr. Inf. Sci. 36(12): 2473-2495 (2022) - [j17]Francesco Nattino, Ou Ku, Meiert W. Grootes, Emma Izquierdo-Verdiguier, Serkan Girgin, Raúl Zurita-Milla:
CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes. J. Open Source Softw. 7(72): 4032 (2022) - 2021
- [j16]Jaturong Som-ard, Clement Atzberger, Emma Izquierdo-Verdiguier, Francesco Vuolo, Markus Immitzer:
Remote Sensing Applications in Sugarcane Cultivation: A Review. Remote. Sens. 13(20): 4040 (2021) - [c16]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:
Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. IGARSS 2021: 309-312 - 2020
- [j15]Emma Izquierdo-Verdiguier, Raúl Zurita-Milla:
An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing. Int. J. Appl. Earth Obs. Geoinformation 88: 102051 (2020) - [j14]Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Inf. Fusion 63: 256-272 (2020) - [j13]Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective. IEEE Geosci. Remote. Sens. Lett. 17(10): 1702-1706 (2020) - [j12]Hamid Reza Ghafarian Malamiri, Hadi Zare, Iman Rousta, Haraldur Olafsson, Emma Izquierdo-Verdiguier, Hao Zhang, Terence Darlington Mushore:
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. Remote. Sens. 12(17): 2747 (2020) - [j11]Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
A Multiscale Random Forest Kernel for Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2842-2852 (2020) - [j10]Raúl Zurita-Milla, Romulo Goncalves, Emma Izquierdo-Verdiguier, Frank O. Ostermann:
Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics. IEEE Trans. Big Data 6(3): 583-593 (2020) - [c15]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, Steven W. Running:
Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. IGARSS 2020: 2320-2323 - [i2]Sancho Salcedo-Sanz, Pedram Ghamisi, Maria Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources. CoRR abs/2012.05795 (2020)
2010 – 2019
- 2019
- [j9]Sergio Sánchez-Ruiz, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Marta Chiesi, Fabio Maselli, María Amparo Gilabert:
Growing stock volume from multi-temporal landsat imagery through google earth engine. Int. J. Appl. Earth Obs. Geoinformation 83 (2019) - [j8]Laurens Bogaardt, Romulo Goncalves, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets. ISPRS Int. J. Geo Inf. 8(2): 55 (2019) - [j7]Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote. Sens. 11(5): 575 (2019) - [j6]Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
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. Remote. Sens. 11(12): 1489 (2019) - 2018
- [j5]Rosa Aguilar, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier, Rolf A. de By:
A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems. Remote. Sens. 10(5): 729 (2018) - [c14]Viktor Bakayov, Romulo Goncalves, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
A Spark-Based Platform to Extract Phenological Information from Satellite Images. eScience 2018: 354-355 - [c13]Verónica Andreo, Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Roberto Rosà, Annapaola Rizzoli, Anna Papa:
Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series. IGARSS 2018: 4670-4673 - [c12]Emma Izquierdo-Verdiguier, Raúl Zurita-Milla:
Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval. IGARSS 2018: 5776-5779 - 2017
- [j4]Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls:
Optimized Kernel Entropy Components. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1466-1472 (2017) - [c11]Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Rolf A. de By:
On the use of guided regularized random forests to identify crops in smallholder farm fields. MultiTemp 2017: 1-3 - [c10]Raúl Zurita-Milla, Emma Izquierdo-Verdiguier, Rolf A. de By:
Identifying crops in smallholder farms using time series of WorldView-2 images. MultiTemp 2017: 1-3 - 2016
- [i1]Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls:
Optimized Kernel Entropy Components. CoRR abs/1603.02806 (2016) - 2015
- [j3]Emma Izquierdo-Verdiguier, Robert Jenssen, Luis Gómez-Chova, Gustavo Camps-Valls:
Spectral clustering with the probabilistic cluster kernel. Neurocomputing 149: 1299-1304 (2015) - [c9]Emma Izquierdo-Verdiguier, Raúl Zurita-Milla:
Introducing co-clustering for hyperspectral image analysis. IGARSS 2015: 465-468 - 2014
- [j2]Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis. IEEE Trans. Geosci. Remote. Sens. 52(9): 5567-5578 (2014) - 2013
- [j1]Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls:
Encoding Invariances in Remote Sensing Image Classification With SVM. IEEE Geosci. Remote. Sens. Lett. 10(5): 981-985 (2013) - [c8]Luis Gómez-Chova, Emma Izquierdo-Verdiguier, Julia Amorós-López, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Kernel change discriminant analysis for multitemporal cloud masking. IGARSS 2013: 2974-2977 - [c7]Luis Gómez-Chova, Jordi Muñoz-Marí, Julia Amorós-López, Emma Izquierdo-Verdiguier, Gustavo Camps-Valls:
Advances in synergy of AATSR-MERIS sensors for cloud detection. IGARSS 2013: 4391-4394 - [c6]Julia Amorós-López, Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Jordi Muñoz-Marí, Gustavo Camps-Valls:
A kernel regression approach to cloud and shadow detection in multitemporal images. MultiTemp 2013: 1-4 - [c5]Jordi Muñoz-Marí, Luis Gómez-Chova, Julia Amorós-López, Emma Izquierdo-Verdiguier, Gustavo Camps-Valls:
Multiset Kernel CCA for multitemporal image classification. MultiTemp 2013: 1-4 - 2012
- [c4]Emma Izquierdo-Verdiguier, Luis Gómez-Chova, Lorenzo Bruzzone, Gustavo Camps-Valls:
Semisupervised nonlinear feature extraction for image classification. IGARSS 2012: 1525-1528 - [c3]Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls:
Including invariances in SVM remote sensing image classification. IGARSS 2012: 7353-7356 - [c2]Emma Izquierdo-Verdiguier, Jerónimo Arenas-García, Sergio Muñoz-Romero, Luis Gómez-Chova, Gustavo Camps-Valls:
Semisupervised kernel orthonormalized partial least squares. MLSP 2012: 1-6
2000 – 2009
- 2009
- [c1]Luis Gómez-Chova, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, Gustavo Camps-Valls, Javier Calpe-Maravilla, José F. Moreno:
Cloud Screening with Combined MERIS and AATSR Images. IGARSS (4) 2009: 761-764
Coauthor Index
aka: Gustavo Camps-Valls
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