Raúl Zurita-Milla

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 27

Top Topics

Temporal Patterns

Machine Learning

Top Venues

Int. J. Geogr. Inf. Sci.

Int. J. Appl. Earth Obs. Geoinformation

Publications

Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction. CoRR (2024)
Simone Borsci, Ville V. Lehtola, Francesco Nex, Michael Ying Yang, Ellen-Wien Augustijn, Leila Bagheriye, Christoph Brune, Ourania Kounadi, Jamy Li, João L. R. Moreira, Joanne Van Der Nagel, Bernard P. Veldkamp, Duc V. Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 38 (4) (2023)
Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
Spatial+: A new cross-validation method to evaluate geospatial machine learning models. Int. J. Appl. Earth Obs. Geoinformation 121 (2023)
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) (2022)
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) (2022)
Xiaojian Liu, Ourania Kounadi, Raúl Zurita-Milla
Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features. ISPRS Int. J. Geo Inf. 11 (4) (2022)
Lorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara, Raúl Zurita-Milla, Ellen-Wien Augustijn
Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series. Remote. Sens. 13 (5) (2021)
Xiaojing Wu, Changxiu Cheng, Raúl Zurita-Milla, Changqing Song
An overview of clustering methods for geo-referenced time series: from one-way clustering to co- and tri-clustering. Int. J. Geogr. Inf. Sci. 34 (9) (2020)
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) (2020)
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 (2020)
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) (2020)
Xiaojing Wu, Ate Poorthuis, Raúl Zurita-Milla, Menno-Jan Kraak
An interactive web-based geovisual analytics platform for co-clustering spatio-temporal data. Comput. Geosci. 137 (2020)
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 (2020)
Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
, 575. Remote. Sens. 11 (12) (2019)
Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote. Sens. 11 (5) (2019)
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) (2019)
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)
Hamed Mehdipoor, Raúl Zurita-Milla, Ellen-Wien Augustijn, Arnold J. H. van Vliet
Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony. ISPRS Int. J. Geo Inf. 7 (12) (2018)
Emma Izquierdo-Verdiguier, Raúl Zurita-Milla
Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval. IGARSS (2018)
Viktor Bakayov, Romulo Goncalves, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
A Spark-Based Platform to Extract Phenological Information from Satellite Images. eScience (2018)
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) (2018)
Norhakim Yusof, Raúl Zurita-Milla
Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining. Int. J. Digit. Earth 10 (3) (2017)
Raúl Zurita-Milla, Emma Izquierdo-Verdiguier, Rolf A. de By
Identifying crops in smallholder farms using time series of WorldView-2 images. MultiTemp (2017)
Irene Garcia Martí, Raúl Zurita-Milla, Arno Swart, Kees C. van den Wijngaard, Arnold J. H. van Vliet, Sita Bennema, Margriet Harms
Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining. Trans. GIS 21 (2) (2017)
Dimitris Stratoulias, Valentyn A. Tolpekin, Rolf A. de By, Raúl Zurita-Milla, Vasilios Retsios, Wietske Bijker, Mohammad Alfi Hasan, Eric F. Vermote
A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture. Remote. Sens. 9 (10) (2017)
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)
Norhakim Yusof, Raúl Zurita-Milla, Menno-Jan Kraak, Bas Retsios
Interactive discovery of sequential patterns in time series of wind data. Int. J. Geogr. Inf. Sci. 30 (8) (2016)
Raúl Zurita-Milla, V. C. E. Laurent, J. A. E. van Gijsel
Visualizing the ill-posedness of the inversion of a canopy radiative transfer model: A case study for Sentinel-2. Int. J. Appl. Earth Obs. Geoinformation 43 (2015)
Emma Izquierdo-Verdiguier, Raúl Zurita-Milla
Introducing co-clustering for hyperspectral image analysis. IGARSS (2015)
Muhammad Imran, Alfred Stein, Raúl Zurita-Milla
Using geographically weighted regression kriging for crop yield mapping in West Africa. Int. J. Geogr. Inf. Sci. 29 (2) (2015)
Xiaojing Wu, Raúl Zurita-Milla, Menno-Jan Kraak
Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data. Int. J. Geogr. Inf. Sci. 29 (4) (2015)
Toby R. Ault, Raúl Zurita-Milla, Mark D. Schwartz
toolbox for calculating spring indices from daily meteorological data. Comput. Geosci. 83 (2015)
Norhakim Yusof, Raúl Zurita-Milla, Menno-Jan Kraak, Bas Retsios
Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction. AGILE Conf. (2014)
Muhammad Imran, Alfred Stein, Raúl Zurita-Milla
Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products. Int. J. Appl. Earth Obs. Geoinformation 26 (2014)
Julia Amorós-López, Luis Gómez-Chova, Luis Alonso, Luis Guanter, Raúl Zurita-Milla, José F. Moreno, Gustavo Camps-Valls
Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring. Int. J. Appl. Earth Obs. Geoinformation 23 (2013)
Raúl Zurita-Milla, J. A. E. van Gijsel, Nicholas A. S. Hamm, P. W. M. Augustijn, Anton Vrieling
Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps. IEEE Trans. Geosci. Remote. Sens. 51 (4-1) (2013)
Gourav Misra, Anil Kumar, N. R. Patel, Raúl Zurita-Milla, Alka Singh
Mapping specific crop- A multi sensor temporal approach. IGARSS (2012)
Raúl Zurita-Milla
J.G. Liu, P.J. Mason, , Essential Image Processing and GIS for Remote Sensing (2009) Wiley-Blackwell, Singapore 978-0-470-51032-2 443 pp., Price: £95.00. Int. J. Appl. Earth Obs. Geoinformation 13 (4) (2011)
Connie A. Blok, Ulanbek D. Turdukulov, Raúl Zurita-Milla, Vasilios Retsios, Martin Schouwenburg, Mekonnen Metaferia
Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series. Cartogr. Int. J. Geogr. Inf. Geovisualization 46 (4) (2011)
Luis Gómez-Chova, Raúl Zurita-Milla, Luis Alonso, Julia Amorós-López, Luis Guanter, Gustavo Camps-Valls
Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study. IEEE Trans. Geosci. Remote. Sens. 49 (7) (2011)
Raúl Zurita-Milla, Luis Gómez-Chova, Luis Guanter, Jan G. P. W. Clevers, Gustavo Camps-Valls
Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping. IEEE Trans. Geosci. Remote. Sens. 49 (11) (2011)
Raúl Zurita-Milla, Jan G. P. W. Clevers, Michael E. Schaepman
Unmixing-Based Landsat TM and MERIS FR Data Fusion. IEEE Geosci. Remote. Sens. Lett. 5 (3) (2008)
Zbynek Malenovský, Lucie Homolová, Pavel Cudlin, Raúl Zurita-Milla, Michael E. Schaepman, Jan G. P. W. Clevers, Emmanuel Martin, Jean-Philippe Gastellu-Etchegorry
Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data. IGARSS (2007)
Wouter Dorigo, Raúl Zurita-Milla, Allard J. W. de Wit, Jason Brazile, Ranvir Singh, Michael E. Schaepman
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. Int. J. Appl. Earth Obs. Geoinformation 9 (2) (2007)
S. Moulin, Raúl Zurita-Milla, Martine Guérif, Frédéric Baret
Characterizing the spatial and temporal variability of biophysical variables of a wheat crop using hyper-spectral measurements. IGARSS (2003)