Emma Izquierdo-Verdiguier

Int. J. Geogr. Inf. Sci., 2022

2021

Remote Sensing Applications in Sugarcane Cultivation: A Review.

[BibT_eX]

[DOI]

Jaturong Som-ard

Clement Atzberger

Francesco Vuolo

Markus Immitzer

Remote. Sens., 2021

Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics.

[BibT_eX]

[DOI]

Romulo Goncalves

Frank O. Ostermann

IEEE Trans. Big Data, 2020

A Multiscale Random Forest Kernel for Land Cover Classification.

[BibT_eX]

[DOI]

Hamid Reza Ghafarian Malamiri

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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.

[BibT_eX]

[DOI]

Hadi Zare

Iman Rousta

Haraldur Olafsson

Terence Darlington Mushore

Hao Zhang

Remote. Sens., 2020

Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

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

[BibT_eX]

[DOI]

Amirhosein Mosavi

Gustau Camps-Valls

Inf. Fusion, 2020

An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2020

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine.

[BibT_eX]

[DOI]

Gustau Camps-Valls

Marco P. Maneta

Nathaniel P. Robinson

José E. Adsuara

Manuel Campos

F. Javier García-Haro

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. <i>Remote Sensing</i> 2019, <i>11</i>, 575.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Evaluating the Performance of a Random Forest Kernel for Land Cover Classification.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets.

[BibT_eX]

[DOI]

Laurens Bogaardt

Romulo Goncalves

ISPRS Int. J. Geo Inf., 2019

Growing stock volume from multi-temporal landsat imagery through google earth engine.

[BibT_eX]

[DOI]

Sergio Sánchez-Ruiz

Marta Chiesi

Fabio Maselli

María Amparo Gilabert

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems.

[BibT_eX]

[DOI]

Rosa Aguilar

Rolf A. de By

Remote. Sens., 2018

Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series.

[BibT_eX]

[DOI]

Verónica Andreo

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Spark-Based Platform to Extract Phenological Information from Satellite Images.

[BibT_eX]

[DOI]

Viktor Bakayov

Romulo Goncalves

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Optimized Kernel Entropy Components.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Identifying crops in smallholder farms using time series of WorldView-2 images.

[BibT_eX]

[DOI]

Rolf A. de By

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

On the use of guided regularized random forests to identify crops in smallholder farm fields.

[BibT_eX]

[DOI]

Rolf A. de By

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2015

Spectral clustering with the probabilistic cluster kernel.

[BibT_eX]

[DOI]

Robert Jenssen

Neurocomputing, 2015

Introducing co-clustering for hyperspectral image analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis.

[BibT_eX]

[DOI]

Lorenzo Bruzzone

IEEE Trans. Geosci. Remote. Sens., 2014

2013

Encoding Invariances in Remote Sensing Image Classification With SVM.

[BibT_eX]

[DOI]

Valero Laparra

IEEE Geosci. Remote. Sens. Lett., 2013

Multiset Kernel CCA for multitemporal image classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Kernel change discriminant analysis for multitemporal cloud masking.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012

Semisupervised kernel orthonormalized partial least squares.

[BibT_eX]

[DOI]

Jerónimo Arenas-García

Sergio Muñoz-Romero

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Including invariances in SVM remote sensing image classification.

[BibT_eX]

[DOI]

Valero Laparra

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Semisupervised nonlinear feature extraction for image classification.

[BibT_eX]

[DOI]

Lorenzo Bruzzone

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2009

Cloud Screening with Combined MERIS and AATSR Images.

[BibT_eX]

[DOI]