Emma Izquierdo-Verdiguier

Emma Izquierdo-Verdiguier Ph.D.
Institut für Geomatik
Standort Peter-Jordan-Straße 82, 1190 Wien
Email emma.izquierdo@boku.ac.at
Tel: +43 1 47654-85733

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

Meine Lehrveranstaltungen

Fernerkundung Machine Learning Bildverarbeitung Data Science Cloud Computing

Forschungsschwerpunkt

Ich arbeite an der Entwicklung von Algorithmen für maschinelles Lernen zur Analyse von Fernerkundungsdaten. Zu meinen Forschungsinteressen gehört die Nutzung von Erdbeobachtungsdaten und Cloud-Computing-Umgebungen für die Phänologie der Landoberfläche. Meine früheren Forschungsarbeiten konzentrierten sich auf die nichtlineare Merkmalsextraktion auf der Grundlage von Kernel-Methoden und die automatische Identifizierung von Objekten sowie die Klassifizierung multispektraler Bilder. Nach meinem Universitätsabschluss habe ich vier Jahre lang in der Forschung im Bereich der Fotointerpretation und GIS-Daten gearbeitet und dabei professionelle Beratung und technische Unterstützung geleistet. Darüber hinaus entwickelte ich in meiner Masterarbeit eine Methode zur Extraktion spektral-räumlicher Merkmale, um wachsende Baumplantagen automatisch zu erkennen und zu klassifizieren. In meiner anschließenden Doktorarbeit beschäftigte ich mich mit nichtlinearen Merkmalsextraktionsverfahren für die Analyse von Fernerkundungsdaten. Im Rahmen dieser Forschung habe ich (in Matlab geschriebene) Toolboxen mit Algorithmen zur Informationsextraktion entwickelt. Nach meiner Promotion habe ich mich mit der Google Earth Engine unter Verwendung von JavaScript und Python vertraut gemacht und habe auch Cloud-Computing-Techniken genutzt, um die Verarbeitungskette für die Klassifizierung von Bildern mit hoher räumlicher Auflösung zu entwickeln.

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Laufbahn

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

Auszeichnungen

Jahr: 2018 Auszeichnung: 2018 Travel Award sponsored by Remote Sensing
Jahr: 2017 Auszeichnung: 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
Jahr: 2012 Auszeichnung: 2nd Best Paper Award in the IEEE IGARSS 2012 Student Prize Paper competition

Projekte

Es wurden 0 Projekte gefunden.

Publikationen

Wissentransfer in die Gesellschaft

Medienbeiträge

Vorträge

Jahr: 2023 - Geospatial Machine Learning with Google Earth Engine

Autoren: Izquierdo-Verdiguier, E;

Veranstaltung: Meet ups 2023 GEE devs Nairobi
Jahr: 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

Veranstaltung: Geodaysit 2023
Jahr: 2023 - From the basic school to BOKU (Vienna)

Autoren: Izquierdo-Verdiguier, E

Veranstaltung: Women's scientist week: promotion of women in science
Jahr: 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

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

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

Veranstaltung: AGILE 2023
Jahr: 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

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

Autoren: Gorelick, N; Izquierdo-Verdiguier, E

Veranstaltung: Geo for Good Summit 2023
Jahr: 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

Veranstaltung: European Geosciences Union General Assembly 2023
Jahr: 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

Veranstaltung: Phenology 2022
Jahr: 2022 - From school to BOKU

Autoren: Izquierdo-Verdiguier, E

Veranstaltung: Women's scientist week: promotion of women in science.
Jahr: 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

Veranstaltung: Phenology 2022
Jahr: 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

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

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

Veranstaltung: Phenology 2022
Jahr: 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

Veranstaltung: European Geosciences Union EGU General Assembly 2022
Jahr: 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

Veranstaltung: European Geosciences Union EGU General Assembly 2022
Jahr: 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

Veranstaltung: European Geosciences Union EGU General Assembly 2021
Jahr: 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

Veranstaltung: European Geosciences Union EGU General Assembly 2021
Jahr: 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

Veranstaltung: European Geosciences Union EGU General Assembly 2021
Jahr: 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

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

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

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

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

Veranstaltung: European Geosciences Union EGU General Assembly 2020
Jahr: 2020 - Clustering geo-data cubes

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

Veranstaltung: SPACE AND ARTIFICIAL INTELLIGENCE
Jahr: 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.

Veranstaltung: European Geosciences Union EGU General Assembly 2020
Jahr: 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;

Veranstaltung: International Geoscience and Remote Sensing Symposium IEEE 2020
Jahr: 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.

Veranstaltung: European Geosciences Union EGU General Assembly 2020
Jahr: 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

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

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

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

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

Veranstaltung: Living Planet Symposium 2019
Jahr: 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.

Veranstaltung: Earth Observation phi-week
Jahr: 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.

Veranstaltung: AGU Fall Meeting 2019
Jahr: 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.

Veranstaltung: GeoComputation 2019
Jahr: 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.

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

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

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

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

Veranstaltung: European Geosciences Union EGU General Assembly 2019
Jahr: 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

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

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

Veranstaltung: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2018
Jahr: 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

Veranstaltung: 10th International Conference on Ecological Informatics 2018
Jahr: 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

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

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

Veranstaltung: IEEE eScience 2018
Jahr: 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

Veranstaltung: 10th International Conference on Ecological Informatics 2018
Jahr: 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.

Veranstaltung: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2018
Jahr: 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

Veranstaltung: EGU General Assembly 2018
Jahr: 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

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

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

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

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

Veranstaltung: International Conference on GeoComputation 2017 - Celebrating 21 Years of GeoComputation
Jahr: 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.

Veranstaltung: Big Data from Space Conference BiDS’17 2017
Jahr: 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

Veranstaltung: MultiTemp 2017
Jahr: 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

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

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

Veranstaltung: MultiTemp 2017
Jahr: 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

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

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

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

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

Veranstaltung: European Geosciences Union EGU General Assembly 2016
Jahr: 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

Veranstaltung: AGU Fall Meeting 2015
Jahr: 2015 - Phenological modelling using volunteered observations and machine learning methods

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

Veranstaltung: 3rd International Conference on Phenology 2015
Jahr: 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

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

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

Veranstaltung: IGARSS 2015
Jahr: 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.

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

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

Veranstaltung: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images MultiTemp 2013
Jahr: 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

Veranstaltung: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images MultiTemp 2013
Jahr: 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

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

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

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

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

Veranstaltung: IEEE International Workshop on Machine Learning for Signal Processing, MLSP2012
Jahr: 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

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

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

Veranstaltung: International Geoscience and Remote Sensing Symposium IGARSS IEEE 2012
Jahr: 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

Veranstaltung: 14th Congreso de la Asociación Española de Teledetección 2011
Jahr: 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

Veranstaltung: IGARSS 2009
Jahr: 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

Veranstaltung: XIII Congreso de la Asociación Española de Teledetección
Jahr: 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

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

Emma Izquierdo-Verdiguier

Forschungsschwerpunkt

Laufbahn

Auszeichnungen

Projekte

Publikationen

Wissentransfer in die Gesellschaft

Medienbeiträge

Vorträge

Jahr: 2023 - Geospatial Machine Learning with Google Earth Engine

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

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

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

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

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

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

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

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

Jahr: 2022 - From school to BOKU

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

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

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

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

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

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

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

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

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

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

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

Jahr: 2020 - Clustering geo-data cubes

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

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

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

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

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

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

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

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

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

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

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

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

Jahr: 2018 - HyperLabelMe: Benchmarking Image Classifiers.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Jahr: 2013 - Multiset Kernel CCA for Multitemporal Image Classification

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

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

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

Jahr: 2012 - Semisupervised Kernel Orthonormalized Partial Least Squares

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

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

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

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

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

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

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