Izquierdo-Verdiguier, E (2023): From the basic school to BOKU (Vienna).
Women's scientist week: promotion of women in science, 09.03.2023, Valencia, SpainIzquierdo-Verdiguier, E; (2023): Geospatial Machine Learning with Google Earth Engine.
Meet ups 2023 GEE devs Nairobi, 27.05.2023, NairobiZurita-Milla, R; Aguilar-Bolivar, R; Izquierdo-Verdiguier, E (2023): A data-driven approach to model spring onset using volunteered observations. [Poster]
AGILE 2023, 13.06.2023-16.06.2023, Delft, the NetherlandsIzquierdo-Verdiguier, E (2022): From school to BOKU.
Women's scientist week: promotion of women in science., 11.02.2022, ValenciaIzquierdo-Verdiguier, E; Zurita-Milla, R; Scheifinger, H (2022): Extended Spring Index model assessment over the European continent.
Phenology 2022, 20/06/2022-24/06/2022, AvignonNovelli, F; Izquierdo-Verdiguier, E; Vuolo F (2022): A raster-based data assimilation approach pairing Sentinel-2 satellite observations and the Simple Algorithm for Yield Estimation to monitor winter wheat productivity.
Living Planet Symposioum 2022, 23/05/2022-27/05/2022, BonnZurita-Milla, R; Aguilar-Bolivar, R; Izquierdo-Verdiguier, E (2022): On the use of data-driven approaches to model spring onset from volunteered phenological observations.
Phenology 2022, 20/06/2022-24/06/2022, AvignonZurita-Milla, R; Izquierdo-Verdiguier, E; Nattino, F; Ku, O; Grootes, M. W; Girgin, S (2022): On the mapping of phenological regions via advanced clustering.
Phenology 2022, 20/06/2022-24/06/2022, AvignonIzquierdo-verdiguier, E; Moreno-Martinez, A; Camps-Valls, G; Maneta, M.P.; Robinson, N; Atzberger, C; Running, S.W. (2019): High Spatial Resolution Land Products Derived From Reconstructed Landsat Reflectance in the Cloud. [Poster]
Earth Observation phi-week, September, 2019, ESA-ESRIN, FrascatiMoreno, A.; Izquierdo, E.; Maneta, M. P.; Camps-Valls, G.; Robinson, N.; Muñoz, J.; Clinton, N.; Sedano, F; Running, S. W. (2019): New opportunities for developing high spatial resolution land products derived from gap free Landsat reflectance time series in Google Earth Engine. .
AGU Fall Meeting 2019., 2019, San FranciscoMoreno-Martinez, A.; Izquierdo-Verdiguier, E.; Camps-Valls, G.; Robinson, N.; Martino, L.; Maneta, M.; Allred, B.; Running, S. W. (2019): Gap filling Sentinel 2 observations in Google Earth Engine by combining ancillary Landsat and MODIS data in a Bayesian context. [Poster]
Living Planet Symposium, 2019, MilanVuolo, F.; Immitzer, M.; Izquierdo-Verdiguier, E.; Atzberger, C. (2019): How much does multi-temporal Sentinel-2 data improve crop type classification?.
Living Planet Symposium, 2019, MilanZurita-milla, R.; Goncalves, R.; Izquierdo-Verdiguier, E.; Bakayov, V.; (2019): Retrieving phenometrics from remotely sensed data using a Spark-based platform.
Living Planet Symposium, 2019, MilanMuñoz-Marı́, J; Gómez-Chova, L; Ruescas, A. B; Mateo-Garcı́a, G; Izquierdo-Verdiguier, E; Campos-Taverner, M; Camps-Valls, G (2018): HyperLabelMe: Benchmarking Image Classifiers. .
The φ-week EO Open Science and Future EO, 2018, FrascatiGómez-Chova, L; Amorós-López, J; Izquierdo-Verdiguier, E; Jiménez-Muñoz, J. C; Camps-Valls, G (2012): Cloud-Screening from Multispectral Satellite Image Time Series .
1st EARSeL Workshop on Temporal Analysis of Satellite Images , 2012, MykonosIzquierdo-Verdiguier, E; Gómez-Chova, L; Amorós-López, J; Camps-Valls, G (2011): Detección automática de plantaciones de árboles de cultivo en imágenes de alta resolución espacial . [Poster]
XIV Congreso de la Asociación Española de Teledetección , 2011, AsturiasAmorós-López, J; Gómez-Chova, L; Izquierdo, E; Camps-Valls, G; Calpe, J; Guanter, L; Alonso, L; Moreno, J (2008): Cadena de procesado de imágenes LANDSAT para la generación de mosaicos a escala regional.
XIII Congreso de la Asociación Española de Teledetección, 2008, Calatayud