Emma Izquierdo-Verdiguier

Emma Izquierdo-Verdiguier Ph.D.
Institute of Geomatics
Location Peter-Jordan-Straße 82, 1190 Wien
Email emma.izquierdo@boku.ac.at
Tel: +43 1 47654-85733

ORCID: 0000-0003-2179-1262
25924302800: AuthorId

My Courses

Remote sensing Machine learning Image processing Data science Cloud computing

Research Focus

I work on developing machine learning algorithms for remote sensing data analysis. My research interests include using Earth Observation data and cloud computing environments for land surface phenology. My previous research focused on nonlinear feature extraction based on kernel methods and automatic object identification, and multispectral image classification. After I finished my university degree, I devoted four years to research in photo-interpreting and GIS data, giving professional advice and technical support. In addition, I developed a spectral-spatial feature extraction methodology in my MSc. thesis to detect and classify growing tree plantations automatically. Subsequently, my Ph.D. research was devoted to nonlinear feature extraction techniques for remote sensing data analysis. In the context of that research, I created toolboxes (written in Matlab) of algorithms for information extraction. And after my Ph.D., I gained expertise with Google Earth Engine using JavaScript and Python and have also leveraged cloud computing techniques to develop the processing chain for classifying high spatial resolution images.

Career

2017 - 2018 PostDoc in Image Processing Laboratory (IPL), University of Valencia.
2014 - 2017 Postdoc in Faculty of Geo-information Science & Earth Observation (ITC), University of Twente.
2014 External professor in the master of remote sensing (University of Valencia)
2009 - 2014 PhD student in Image Processing Laboratory (IPL), University of Valencia.
2008 - 2009 Senior technical research in Image Processing Laboratory (IPL), University of Valencia.
2007 - 2008 Fellowship training staff in Valencian Cartographic Institute

Awards

Year: 2018 Awards: 2018 Travel Award sponsored by Remote Sensing
Year: 2017 Awards: Best Youth Oral Paper Award (X. Wu) by International Society for Photogrammetry and Remote Sensing in the Third International Conference on Spatial Data Mining and Geographical Knowledge
Year: 2012 Awards: 2nd Best Paper Award in the IEEE IGARSS 2012 Student Prize Paper competition

Projects

0 Projects found.

Publications

Knowledge Transfer to Society

Media

Lectures

Year: 2023 - Geospatial Machine Learning with Google Earth Engine

Autoren: Izquierdo-Verdiguier, E;

Event: Meet ups 2023 GEE devs Nairobi
Year: 2023 - Double Crop Mapping using Sentinel-2 Data in Support to Implementation and Monitoring of the 2023-2027 Common Agricultural Policy within Rural DevelopmentInterventions

Autoren: Sarvia, F; Izquierdo-Verdiguier, E; Vuolo, F; Borgogno, E

Event: Geodaysit 2023
Year: 2023 - From the basic school to BOKU (Vienna)

Autoren: Izquierdo-Verdiguier, E

Event: Women's scientist week: promotion of women in science
Year: 2023 - Enhanced and gap-free Sentinel-2 reflectance data at vast scales with GEE

Autoren: Izquierdo-Verdiguier, E; Moreno-Martínez, A; Muñoz-Mari, J; Clinton, N; Vuolo, F; Atzberger, C; Camps-Valls, G

Event: European Geosciences Union General Assembly 2023
Year: 2023 - A data-driven approach to model spring onset using volunteered observations

Autoren: Zurita-Milla, R; Aguilar-Bolivar, R; Izquierdo-Verdiguier, E

Event: AGILE 2023
Year: 2023 - Clustering Geodata Cubes (CGC) and Its Application to Phenological Datasets

Autoren: Nattino, F; Ku, O; Grootes, M. W; Izquierdo-Verdiguier, E; Girgin, S; Zurita-Milla, R

Event: European Geosciences Union General Assembly 2023
Year: 2023 - Machine Learning with Earth Engine's built-in classifiers

Autoren: Gorelick, N; Izquierdo-Verdiguier, E

Event: Geo for Good Summit 2023
Year: 2023 - Physics-Aware Machine Learning for Carbon Fluxes at High Spatio-Temporal Resolution and Scales

Autoren: Moreno-Martínez, A; Martínez-Ferrer, L; Muñoz-Marí, J; Izquierdo-Verdiguier, E; Kimball, J. S; Running, S. W; Clinton, N; Camps-Valls, G

Event: European Geosciences Union General Assembly 2023
Year: 2022 - On the mapping of phenological regions via advanced clustering

Autoren: Zurita-Milla, R; Izquierdo-Verdiguier, E; Nattino, F; Ku, O; Grootes, M. W; Girgin, S

Event: Phenology 2022
Year: 2022 - From school to BOKU

Autoren: Izquierdo-Verdiguier, E

Event: Women's scientist week: promotion of women in science.
Year: 2022 - On the use of data-driven approaches to model spring onset from volunteered phenological observations

Autoren: Zurita-Milla, R; Aguilar-Bolivar, R; Izquierdo-Verdiguier, E

Event: Phenology 2022
Year: 2022 - A raster-based data assimilation approach pairing Sentinel-2 satellite observations and the Simple Algorithm for Yield Estimation to monitor winter wheat productivity

Autoren: Novelli, F; Izquierdo-Verdiguier, E; Vuolo F

Event: Living Planet Symposium 2022 - Taking the pulse of our planet from space
Year: 2022 - Extended Spring Index model assessment over the European continent

Autoren: Izquierdo-Verdiguier, E; Zurita-Milla, R; Scheifinger, H

Event: Phenology 2022
Year: 2022 - CGC: an open-source Python module for geospatial data clustering

Autoren: Ku,O; Nattino, F; Grootes, M; Izquierdo-Verdiguier, E; Girgin, S; Zurita-Milla, R

Event: European Geosciences Union EGU General Assembly 2022
Year: 2022 - The long-term floodplain forest modifications of a regulated tropical river

Autoren: Salerno, L; Moreno-Martínez, A; Izquierdo-Verdiguier, E; Clinton, N; Siviglia, A; Camporeale, C

Event: European Geosciences Union EGU General Assembly 2022
Year: 2021 - High-resolution mapping of floodplain vegetation changes in large tropical rivers

Autoren: Salerno, L; Moreno-Martínez, Á; Izquierdo-Verdiguier, E; Clinton, N; Siviglia, A; Camporeale, C

Event: European Geosciences Union EGU General Assembly 2021
Year: 2021 - Upscaling plant traits to ecosystem level: blending local biodiversity, global traits databases, and remote sensing data

Autoren: Moreno-Martínez, Á; Adsuara, J.E; Muñoz-Marí, J; Izquierdo-Verdiguier, E; Katge, J; Carvalhais, N; Reichstein, M; Running, S.W; Camps-Valls, G

Event: European Geosciences Union EGU General Assembly 2021
Year: 2021 - Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval

Autoren: Martínez-Ferrer, L; Moreno-Martínez, Á; Muñoz-Marí, J; Izquierdo-Verdiguier, E; Campos-Taberner, M; García-Haro, J; Maneta, M; Robinson, N; Clinton, N; Kimball, J; Running, S.W

Event: European Geosciences Union EGU General Assembly 2021
Year: 2021 - Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data

Autoren: Izquierdo-Verdiguier, E; Moreno-Martínez, Á; Adsuara, J. E; Muñoz-Marí, J; Camps-Valls, G; Maneta, M P; Kimball, J; Clinton, N; Running, S. W

Event: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2021
Year: 2021 - False Spring over Europe: risk and uncertainties.

Autoren: Zurita-Milla, R; Vermeltfoort, R; Girgin, S; Izquierdo-Verdiguier, E

Event: European Geosciences Union EGU General Assembly 2021
Year: 2020 - An interactive analysis of users, use and usability of phenological information

Autoren: Zurita-Milla, R.; Garcia de Cortazar-Atauri, I.; Izquierdo-Verdiguier, E.

Event: European Geosciences Union EGU General Assembly 2020
Year: 2020 - Clustering geo-data cubes

Autoren: Zurita-Milla, R.; Izquierdo-Verdiguier, E.;Girgin, S.; Nattino, F.; Ku, O.; Grootes, M. W.; Goncalves, R

Event: SPACE AND ARTIFICIAL INTELLIGENCE
Year: 2020 - Gross Primary Production and False Spring: a spatio-temporal analysis

Autoren: Izquierdo-Verdiguier, E.; Zurita-Milla, R.; Moreno-Martinez, A.; Camps-Valls, G.; Klisch, A.; Atzberger, C.; Running, S. W.

Event: European Geosciences Union EGU General Assembly 2020
Year: 2020 - Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine

Autoren: Moreno-Martínez, Á; Izquierdo-Verdiguier, E; Camps-Valls, G; Maneta, M; Muñoz-Marí, J; Robinson, N; Adsuara, J. E; Campos, M; García-Haro, J; Pérez, A; Clinton, N; Kimball, J; Running, S. W;

Event: International Geoscience and Remote Sensing Symposium IEEE 2020
Year: 2020 - Down-scaling MODIS operational vegetation products with machine learning and fused gap-free high resolution reflectance data in Google Earth Engine

Autoren: Moreno Martínez, A.; Izquierdo Verdiguier, E.; Camps Valls, G.; Maneta, M.; Muñoz Marí, J.; Robinson, N.; Adsuara, J. E.; Campos Taberner, M.; García Haro, F. J.; Pérez Suay, A.; Running, S. W.

Event: European Geosciences Union EGU General Assembly 2020
Year: 2019 - Mapping a spatial and temporal phenoregions: a case study for the contiguous US at 1km spatial resolution

Autoren: Zurita-Milla, R; Gonçalves, R; Izquierdo-Verdiguier, E

Event: European Geosciences Union EGU General Assembly 2019
Year: 2019 - How much does multi-temporal Sentinel-2 data improve crop type classification?

Autoren: Vuolo, F.; Immitzer, M.; Izquierdo-Verdiguier, E.; Atzberger, C.

Event: Living Planet Symposium 2019
Year: 2019 - Retrieving phenometrics from remotely sensed data using a Spark-based platform

Autoren: Zurita-milla, R.; Goncalves, R.; Izquierdo-Verdiguier, E.; Bakayov, V.;

Event: Living Planet Symposium 2019
Year: 2019 - High Spatial Resolution Land Products Derived From Reconstructed Landsat Reflectance in the Cloud

Autoren: Izquierdo-verdiguier, E; Moreno-Martinez, A; Camps-Valls, G; Maneta, M.P.; Robinson, N; Atzberger, C; Running, S.W.

Event: Earth Observation phi-week
Year: 2019 - New opportunities for developing high spatial resolution land products derived from gap free Landsat reflectance time series in Google Earth Engine.

Autoren: Moreno, A.; Izquierdo, E.; Maneta, M. P.; Camps-Valls, G.; Robinson, N.; Muñoz, J.; Clinton, N.; Sedano, F; Running, S. W.

Event: AGU Fall Meeting 2019
Year: 2019 - Exploring the Influence of Source and Scale of Phenological Model Inputs at Continental Scale

Autoren: Mehdipoor, H; Zurita-Milla, R; Izquierdo-Verdiguier, E.; Betancourt, J. L.

Event: GeoComputation 2019
Year: 2019 - Gap filling Sentinel 2 observations in Google Earth Engine by combining ancillary Landsat and MODIS data in a Bayesian context

Autoren: Moreno-Martinez, A.; Izquierdo-Verdiguier, E.; Camps-Valls, G.; Robinson, N.; Martino, L.; Maneta, M.; Allred, B.; Running, S. W.

Event: Living Planet Symposium 2019
Year: 2019 - Phenology at continental scale: one size does not fit all

Autoren: Gonçalves, R; Bakayov, V; Zurita-Milla, R; Izquierdo-Verdiguier, E

Event: Big Data from Space conference (BiDS’19)
Year: 2019 - Evaluating the Extended Spring Index over Europe using cloud computing

Autoren: Izquierdo-Verdiguier, E; Zurita-Milla, R; Klisch, A; Atzberger, C

Event: European Geosciences Union EGU General Assembly 2019
Year: 2018 - HyperLabelMe: Benchmarking Image Classifiers.

Autoren: Muñoz-Marı́, J; Gómez-Chova, L; Ruescas, A. B; Mateo-Garcı́a, G; Izquierdo-Verdiguier, E; Campos-Taverner, M; Camps-Valls, G

Event: The φ-week EO Open Science and Future EO 2018
Year: 2018 - Use of Guided Reguilizared Random Forest for biophysical parameter retrieval.

Autoren: Izquierdo-Verdiguier, E.; Zurita-Milla, R.

Event: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2018
Year: 2018 - A general framework for global mapping of plant traits with operational satellites and climatological data.

Autoren: Moreno-Martinez, A; Camps-Valls, G; Kattge, J; Carvalhais, N; Reichstein, M; Izquierdo-Verdiguier, E; Svendsen, D. H; Running, S. W

Event: 10th International Conference on Ecological Informatics 2018
Year: 2018 - Spatio-temporal Correlation between Gross Primary Production and spring onset

Autoren: Izquierdo-Verdiguier, E; Moreno, A; Zurita-Milla, R; Camps-Valls, G; Running, S

Event: EGU General Assembly 2018
Year: 2018 - A Spark-based platform to extract phenological information from satellite images.

Autoren: Bakayov, V; Goncalves, R; Zurita-Milla, R; Izquierdo-Verdiguier, E

Event: IEEE eScience 2018
Year: 2018 - Gross Primary Production and spring onset linked by spatio-temporal data analysis.

Autoren: Izquierdo-Verdiguier, E; Moreno, A; Zurita-Milla, R; Camps-Valls, G; Running, S

Event: 10th International Conference on Ecological Informatics 2018
Year: 2018 - Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series

Autoren: Andreo, V.; Izquierdo-Verdiguier, E.; Zurita-Milla, R.; Rosà, R.;Rizzoli, A.; Papa, A.

Event: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2018
Year: 2018 - Analyzing the cross-correlation between the extended spring indices and the AVHRR start of season phenometric.

Autoren: Zurita-Milla, R; Bogaardt, L; Izquierdo-Verdiguier, E; Gonçalves, R

Event: EGU General Assembly 2018
Year: 2017 - Integrating of Support Vector Machine and Random Forest to Classify Crops in Time Series of Worldview-2 Images

Autoren: Zafari, A; Zurita-Milla, R; Izquierdo-Verdiguier, E

Event: SPIE Security+Defence 2017
Year: 2017 - Analysis of pixel- and object-based classification in smallholder farm fields.

Autoren: Izquierdo-Verdiguier, E; Zurita-Milla, R; de By, R.A

Event: 5th INTERNATIONAL SYMPOSIUM RECENT ADVANCES IN QUANTITATIVE REMOTE SENSING 2017
Year: 2017 - Tri-clustering: a novel approach to explore spatio-temporal data cubes

Autoren: Zurita-Milla, R; Wu, X; Izquierdo-Verdiguier, E; Kraak, M.J

Event: International Conference on GeoComputation 2017 - Celebrating 21 Years of GeoComputation
Year: 2017 - Exploring vegetation phenology at continental scales: Linking Temperature-based indices and Land Surface phenological metrics

Autoren: Zurita-Milla, R; Gonçalves, R; Izquierdo-Verdiguier, E; Ostermann, F.O.

Event: Big Data from Space Conference BiDS’17 2017
Year: 2017 - On the use of guided regularized random forests to identify crops in smallholder farm fields.

Autoren: Izquierdo-Verdiguier, E; Zurita-Milla, R; de By, R.A

Event: MultiTemp 2017
Year: 2017 - The combination of multiple kernel learning and one-class classifier in classifying smallholder cotton fields.

Autoren: Zurita-Milla, R; Izquierdo-Verdiguier, E; de By, R.A

Event: 5th INTERNATIONAL SYMPOSIUM RECENT ADVANCES IN QUANTITATIVE REMOTE SENSING 2017
Year: 2017 - Identifying crops in smallholder farms using time series of WorldView-2 images.

Autoren: Zurita-Milla, R; Izquierdo-Verdiguier, E; de By, R.A

Event: MultiTemp 2017
Year: 2017 - Clustering-based approaches to the exploration of spatio-temporal data

Autoren: Wu, X; Zurita-Milla, R; Kraak, M.J; Izquierdo-Verdiguier, E; Poorthuis, A

Event: 3rd International Conference on Spatial Data Mining and Geographical Knowledge Services 2017
Year: 2017 - Continental-Scale Monitoring and Mapping of False Spring: A Cloud Computing Solution

Autoren: Mehdipoor, H; Izquierdo-Verdiguier, E; Zurita-Milla, R

Event: International Conference on GeoComputation 2017 - Celebrating 21 Years of GeoComputation
Year: 2016 - Revisiting the extended spring indices using gridded weather data and machine learning

Autoren: Mehdipoor, H; Izquierdo-Verdiguier, E; Zurita-Milla, R

Event: European Geosciences Union EGU General Assembly 2016
Year: 2015 - Geothermal heat flux assessment using remote sensing LST and simulated data. Case studies: Kenyan Rift and Yellowstone geothermal areas

Autoren: Romaguera, M; Vaughan, R.V; Ettema, J; Izquierdo-Verdiguier, E; Hecker, C. A; van der Meer, F. D

Event: AGU Fall Meeting 2015
Year: 2015 - Phenological modelling using volunteered observations and machine learning methods

Autoren: Zurita-Milla, R; Izquierdo-Verdiguier, E; Mehdipoor, H

Event: 3rd International Conference on Phenology 2015
Year: 2015 - Using cloud computing to study trends and patterns in the Extended Spring Indices

Autoren: Izquierdo-Verdiguier, E; Zurita-Milla, R.; Ault, T. R; Schwartz, M. D

Event: 3rd International Conference on Phenology 2015
Year: 2015 - Introducting Co-Clustering for hyperspectral image analysis

Autoren: Izquierdo-Verdiguier, E.; Zurita-Milla, R.

Event: IGARSS 2015
Year: 2013 - Kernel Change Discriminant Analysis for Multitemporal Cloud Masking

Autoren: Gómez-Chova, L.; Izquierdo-Verdiguier, E.; Amorós-López, J.; Muñoz-Marı́, J.; Camps-Valls, G.

Event: IEEE International Symposium on Geoscience and Remote Sensing IGARSS 2013
Year: 2013 - Multiset Kernel CCA for Multitemporal Image Classification

Autoren: Muñoz-Marı́, J; Gómez-Chova, L; Amorós, J.; Izquierdo, E; Camps-Valls, G

Event: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images MultiTemp 2013
Year: 2013 - A Kernel regression approach to cloud and shadow detection in multitemporal images

Autoren: Amorós-López, J; Izquierdo-Verdiguier, E; Gómez-Chova, L; Muñoz-Marı́, J; Camps-Valls, G

Event: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images MultiTemp 2013
Year: 2013 - Advances in synergy of AATSR-MERIS sensors for cloud detection

Autoren: Gómez-Chova, L.; Muñoz-Marı́, J.; Amorós-López, J.; Izquierdo-Verdiguier, E.; Camps-Valls, G

Event: IEEE International Symposium on Geoscience and Remote Sensing IGARSS 2013
Year: 2012 - Semisupervised Nonlinear Feature Extraction for Image Image Classification

Autoren: Izquierdo-Verdiguier, E.; Gómez-Chova, L.; Bruzzone, L.; Camps-Valls, G

Event: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2012
Year: 2012 - Semisupervised Kernel Orthonormalized Partial Least Squares

Autoren: Izquierdo-Verdiguier, E; Arenas-Garcı́a, J; Muñoz-Romero, S; Gómez-Chova, L; Camps-Valls, G

Event: IEEE International Workshop on Machine Learning for Signal Processing, MLSP2012
Year: 2012 - Cloud-Screening from Multispectral Satellite Image Time Series

Autoren: Gómez-Chova, L; Amorós-López, J; Izquierdo-Verdiguier, E; Jiménez-Muñoz, J. C; Camps-Valls, G

Event: 1st EARSeL Workshop on Temporal Analysis of Satellite Images 2012
Year: 2012 - Including Invariances in SVM Remote Sensing Image Classification.

Autoren: Izquierdo-Verdiguier, E.; Laparra, V.;Gómez-Chova, L.; Camps-Valls, G.

Event: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2012
Year: 2011 - Detección automática de plantaciones de árboles de cultivo en imágenes de alta resolución espacial

Autoren: Izquierdo-Verdiguier, E; Gómez-Chova, L; Amorós-López, J; Camps-Valls, G

Event: 14th Congreso de la Asociación Española de Teledetección 2011
Year: 2009 - Cloud screening with combined MERIS and AATSR images

Autoren: Gómez-Chova, L; Muñoz-Marı́, J; Izquierdo-Verdiguier, E; Camps-Valls, G; Calpe-Maravilla, J; Moreno, J

Event: IGARSS 2009
Year: 2008 - Cadena de procesado de imágenes LANDSAT para la generación de mosaicos a escala regional

Autoren: Amorós-López, J; Gómez-Chova, L; Izquierdo, E; Camps-Valls, G; Calpe, J; Guanter, L; Alonso, L; Moreno, J

Event: XIII Congreso de la Asociación Española de Teledetección
Year: 2008 - Multi-stage robust scheme for citrus identification from high resolution airborne images

Autoren: Amorós-López, J; Izquierdo Verdiguier, E; Gómez-Chova, L; Muñoz-Marı́, J; Rodrı́guez-Barreiro, J. Z;Camps-Valls, G; Calpe-Maravilla, J

Event: heme for citrus identification from high resolution airborne imSPIE, Image and Signal Processing for Remote Sensing XIV

Emma Izquierdo-Verdiguier

Research Focus

Career

Awards

Projects

Publications

Knowledge Transfer to Society

Media

Lectures

Year: 2023 - Geospatial Machine Learning with Google Earth Engine

Year: 2023 - Double Crop Mapping using Sentinel-2 Data in Support to Implementation and Monitoring of the 2023-2027 Common Agricultural Policy within Rural DevelopmentInterventions

Year: 2023 - From the basic school to BOKU (Vienna)

Year: 2023 - Enhanced and gap-free Sentinel-2 reflectance data at vast scales with GEE

Year: 2023 - A data-driven approach to model spring onset using volunteered observations

Year: 2023 - Clustering Geodata Cubes (CGC) and Its Application to Phenological Datasets

Year: 2023 - Machine Learning with Earth Engine's built-in classifiers

Year: 2023 - Physics-Aware Machine Learning for Carbon Fluxes at High Spatio-Temporal Resolution and Scales

Year: 2022 - On the mapping of phenological regions via advanced clustering

Year: 2022 - From school to BOKU

Year: 2022 - On the use of data-driven approaches to model spring onset from volunteered phenological observations

Year: 2022 - A raster-based data assimilation approach pairing Sentinel-2 satellite observations and the Simple Algorithm for Yield Estimation to monitor winter wheat productivity

Year: 2022 - Extended Spring Index model assessment over the European continent

Year: 2022 - CGC: an open-source Python module for geospatial data clustering

Year: 2022 - The long-term floodplain forest modifications of a regulated tropical river

Year: 2021 - High-resolution mapping of floodplain vegetation changes in large tropical rivers

Year: 2021 - Upscaling plant traits to ecosystem level: blending local biodiversity, global traits databases, and remote sensing data

Year: 2021 - Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval

Year: 2021 - Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data

Year: 2021 - False Spring over Europe: risk and uncertainties.

Year: 2020 - An interactive analysis of users, use and usability of phenological information

Year: 2020 - Clustering geo-data cubes

Year: 2020 - Gross Primary Production and False Spring: a spatio-temporal analysis

Year: 2020 - Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine

Year: 2020 - Down-scaling MODIS operational vegetation products with machine learning and fused gap-free high resolution reflectance data in Google Earth Engine

Year: 2019 - Mapping a spatial and temporal phenoregions: a case study for the contiguous US at 1km spatial resolution

Year: 2019 - How much does multi-temporal Sentinel-2 data improve crop type classification?

Year: 2019 - Retrieving phenometrics from remotely sensed data using a Spark-based platform

Year: 2019 - High Spatial Resolution Land Products Derived From Reconstructed Landsat Reflectance in the Cloud

Year: 2019 - New opportunities for developing high spatial resolution land products derived from gap free Landsat reflectance time series in Google Earth Engine.

Year: 2019 - Exploring the Influence of Source and Scale of Phenological Model Inputs at Continental Scale

Year: 2019 - Gap filling Sentinel 2 observations in Google Earth Engine by combining ancillary Landsat and MODIS data in a Bayesian context

Year: 2019 - Phenology at continental scale: one size does not fit all

Year: 2019 - Evaluating the Extended Spring Index over Europe using cloud computing

Year: 2018 - HyperLabelMe: Benchmarking Image Classifiers.

Year: 2018 - Use of Guided Reguilizared Random Forest for biophysical parameter retrieval.

Year: 2018 - A general framework for global mapping of plant traits with operational satellites and climatological data.

Year: 2018 - Spatio-temporal Correlation between Gross Primary Production and spring onset

Year: 2018 - A Spark-based platform to extract phenological information from satellite images.

Year: 2018 - Gross Primary Production and spring onset linked by spatio-temporal data analysis.

Year: 2018 - Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series

Year: 2018 - Analyzing the cross-correlation between the extended spring indices and the AVHRR start of season phenometric.

Year: 2017 - Integrating of Support Vector Machine and Random Forest to Classify Crops in Time Series of Worldview-2 Images

Year: 2017 - Analysis of pixel- and object-based classification in smallholder farm fields.

Year: 2017 - Tri-clustering: a novel approach to explore spatio-temporal data cubes

Year: 2017 - Exploring vegetation phenology at continental scales: Linking Temperature-based indices and Land Surface phenological metrics

Year: 2017 - On the use of guided regularized random forests to identify crops in smallholder farm fields.

Year: 2017 - The combination of multiple kernel learning and one-class classifier in classifying smallholder cotton fields.

Year: 2017 - Identifying crops in smallholder farms using time series of WorldView-2 images.

Year: 2017 - Clustering-based approaches to the exploration of spatio-temporal data

Year: 2017 - Continental-Scale Monitoring and Mapping of False Spring: A Cloud Computing Solution

Year: 2016 - Revisiting the extended spring indices using gridded weather data and machine learning

Year: 2015 - Geothermal heat flux assessment using remote sensing LST and simulated data. Case studies: Kenyan Rift and Yellowstone geothermal areas

Year: 2015 - Phenological modelling using volunteered observations and machine learning methods

Year: 2015 - Using cloud computing to study trends and patterns in the Extended Spring Indices

Year: 2015 - Introducting Co-Clustering for hyperspectral image analysis

Year: 2013 - Kernel Change Discriminant Analysis for Multitemporal Cloud Masking

Year: 2013 - Multiset Kernel CCA for Multitemporal Image Classification

Year: 2013 - A Kernel regression approach to cloud and shadow detection in multitemporal images

Year: 2013 - Advances in synergy of AATSR-MERIS sensors for cloud detection

Year: 2012 - Semisupervised Nonlinear Feature Extraction for Image Image Classification

Year: 2012 - Semisupervised Kernel Orthonormalized Partial Least Squares

Year: 2012 - Cloud-Screening from Multispectral Satellite Image Time Series

Year: 2012 - Including Invariances in SVM Remote Sensing Image Classification.

Year: 2011 - Detección automática de plantaciones de árboles de cultivo en imágenes de alta resolución espacial

Year: 2009 - Cloud screening with combined MERIS and AATSR images

Year: 2008 - Cadena de procesado de imágenes LANDSAT para la generación de mosaicos a escala regional

Year: 2008 - Multi-stage robust scheme for citrus identification from high resolution airborne images

Supervised Theses

Community Services