Raúl Zurita-Milla

52 papers C 9Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples. Ecol. Informatics Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
2025	J	`jnl`	Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions. CoRR Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raúl Zurita-Milla
2025	J	`jnl`	Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science. Comput. Geosci. Yijian Zeng, Fakhereh Alidoost, Bart Schilperoort, Yang Liu, Stefan Verhoeven, Meiert W. Grootes, Yunfei Wang, Zengjing Song, Danyang Yu, Enting Tang, Qianqian Han, Lianyu Yu, Mostafa Gomaa Daoud, Prajwal Khanal, Yunfei Chen, Christiaan van der Tol, Raúl Zurita-Milla, Serkan Girgin, Bas Retsios, Niels Drost, Yifat Dzigan, Zhongbo Su
2024	C	`conf`	Comparative Evaluation of XAI Methods for Transparent Crop Yield Estimation Using CNN. IGARSS Arun Venugopal, Mahdi Farnaghi, Raúl Zurita-Milla
2024	C	`conf`	Harmonizing Machine Learning Based Phenological Modeling: A Unified Workflow for Comparative Analyses. IGARSS Mahdi Khodadadzadeh, Peter Kalverla, Raúl Zurita-Milla
2024	J	`jnl`	On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction. CoRR Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
2024	C	`conf`	Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution. IGARSS Francesco Nattino, Emma Izquierdo-Verdiguier, Pranav Chandramouli, Meiert W. Grootes, Ou Ku, Fakhereh Alidoost, Raúl Zurita-Milla
2023	J	`jnl`	Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 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, Joanneke VanDerNage, Bernard P. Veldkamp, Duc Viet Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla
2023	J	`jnl`	Spatial+: A new cross-validation method to evaluate geospatial machine learning models. Int. J. Appl. Earth Obs. Geoinformation Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla
2023	—	`conf`	Spatiotemporal domestic wastewater variability: Assessing implications of population mobility in pollutants dynamics. AGILE Conf. Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Raúl Zurita-Milla
2022	J	`jnl`	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. Lorenzo Carlos Quesada-Ruiz, Victor Francisco Rodriguez-Galiano, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2022	J	`jnl`	CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes. J. Open Source Softw. Francesco Nattino, Ou Ku, Meiert W. Grootes, Emma Izquierdo-Verdiguier, Serkan Girgin, Raúl Zurita-Milla
2022	J	`jnl`	Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features. ISPRS Int. J. Geo Inf. Xiaojian Liu, Ourania Kounadi, Raúl Zurita-Milla
2021	J	`jnl`	Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series. Remote. Sens. Lorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara, Raúl Zurita-Milla, Ellen-Wien Augustijn
2020	J	`jnl`	A Multiscale Random Forest Kernel for Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2020	J	`jnl`	An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing. Int. J. Appl. Earth Obs. Geoinformation Emma Izquierdo-Verdiguier, Raúl Zurita-Milla
2020	J	`jnl`	An interactive web-based geovisual analytics platform for co-clustering spatio-temporal data. Comput. Geosci. Xiaojing Wu, Ate Poorthuis, Raúl Zurita-Milla, Menno-Jan Kraak
2020	J	`jnl`	An overview of clustering methods for geo-referenced time series: from one-way clustering to co- and tri-clustering. Int. J. Geogr. Inf. Sci. Xiaojing Wu, Changxiu Cheng, Raúl Zurita-Milla, Changqing Song
2020	J	`jnl`	Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics. IEEE Trans. Big Data Raúl Zurita-Milla, Romulo Goncalves, Emma Izquierdo-Verdiguier, Frank O. Ostermann
2020	J	`jnl`	Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective. IEEE Geosci. Remote. Sens. Lett. Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2019	J	`jnl`	Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote. Sens. Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2019	J	`jnl`	Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets. ISPRS Int. J. Geo Inf. Laurens Bogaardt, Romulo Goncalves, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2019	J	`jnl`	Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote. Sens. Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2018	J	`jnl`	A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems. Remote. Sens. Rosa Aguilar, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier, Rolf A. de By
2018	—	`conf`	A Spark-Based Platform to Extract Phenological Information from Satellite Images. eScience Viktor Bakayov, Romulo Goncalves, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
2018	J	`jnl`	Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony. ISPRS Int. J. Geo Inf. Hamed Mehdipoor, Raúl Zurita-Milla, Ellen-Wien Augustijn, Arnold J. H. van Vliet
2018	C	`conf`	Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series. IGARSS Verónica Andreo, Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Roberto Rosà, Annapaola Rizzoli, Anna Papa
2018	C	`conf`	Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval. IGARSS Emma Izquierdo-Verdiguier, Raúl Zurita-Milla
2017	J	`jnl`	A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture. Remote. Sens. Dimitris Stratoulias, Valentyn A. Tolpekin, Rolf A. de By, Raúl Zurita-Milla, Vasilios Retsios, Wietske Bijker, Mohammad Alfi Hasan, Eric F. Vermote
2017	J	`jnl`	Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining. Trans. GIS Irene Garcia Martí, Raúl Zurita-Milla, Arno Swart, Kees C. van den Wijngaard, Arnold J. H. van Vliet, Sita Bennema, Margriet Harms
2017	—	`conf`	Identifying crops in smallholder farms using time series of WorldView-2 images. MultiTemp Raúl Zurita-Milla, Emma Izquierdo-Verdiguier, Rolf A. de By
2017	J	`jnl`	Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining. Int. J. Digit. Earth Norhakim Yusof, Raúl Zurita-Milla
2017	—	`conf`	On the use of guided regularized random forests to identify crops in smallholder farm fields. MultiTemp Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Rolf A. de By
2016	J	`jnl`	Interactive discovery of sequential patterns in time series of wind data. Int. J. Geogr. Inf. Sci. Norhakim Yusof, Raúl Zurita-Milla, Menno-Jan Kraak, Bas Retsios
2015	J	`jnl`	A Matlab Comput. Geosci. Toby R. Ault, Raúl Zurita-Milla, Mark D. Schwartz
2015	J	`jnl`	Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data. Int. J. Geogr. Inf. Sci. Xiaojing Wu, Raúl Zurita-Milla, Menno-Jan Kraak
2015	C	`conf`	Introducing co-clustering for hyperspectral image analysis. IGARSS Emma Izquierdo-Verdiguier, Raúl Zurita-Milla
2015	J	`jnl`	Using geographically weighted regression kriging for crop yield mapping in West Africa. Int. J. Geogr. Inf. Sci. Muhammad Imran, Alfred Stein, Raúl Zurita-Milla
2015	J	`jnl`	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 Raúl Zurita-Milla, V. C. E. Laurent, J. A. E. van Gijsel
2014	J	`jnl`	Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products. Int. J. Appl. Earth Obs. Geoinformation Muhammad Imran, Alfred Stein, Raúl Zurita-Milla
2014	—	`conf`	Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction. AGILE Conf. Norhakim Yusof, Raúl Zurita-Milla, Menno-Jan Kraak, Bas Retsios
2013	J	`jnl`	Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps. IEEE Trans. Geosci. Remote. Sens. Raúl Zurita-Milla, J. A. E. van Gijsel, Nicholas A. S. Hamm, P. W. M. Augustijn, Anton Vrieling
2013	J	`jnl`	Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring. Int. J. Appl. Earth Obs. Geoinformation Julia Amorós-López, Luis Gómez-Chova, Luis Alonso, Luis Guanter, Raúl Zurita-Milla, José F. Moreno, Gustavo Camps-Valls
2012	C	`conf`	Mapping specific crop- A multi sensor temporal approach. IGARSS Gourav Misra, Anil Kumar, N. R. Patel, Raúl Zurita-Milla, Alka Singh
2011	J	`jnl`	Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series. Cartogr. Int. J. Geogr. Inf. Geovisualization Connie A. Blok, Ulanbek D. Turdukulov, Raúl Zurita-Milla, Vasilios Retsios, Martin Schouwenburg, Mekonnen Metaferia
2011	J	`jnl`	Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study. IEEE Trans. Geosci. Remote. Sens. Luis Gómez-Chova, Raúl Zurita-Milla, Luis Alonso, Julia Amorós-López, Luis Guanter, Gustavo Camps-Valls
2011	J	`jnl`	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 Raúl Zurita-Milla
2011	J	`jnl`	Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping. IEEE Trans. Geosci. Remote. Sens. Raúl Zurita-Milla, Luis Gómez-Chova, Luis Guanter, Jan G. P. W. Clevers, Gustavo Camps-Valls
2008	J	`jnl`	Unmixing-Based Landsat TM and MERIS FR Data Fusion. IEEE Geosci. Remote. Sens. Lett. Raúl Zurita-Milla, Jan G. P. W. Clevers, Michael E. Schaepman
2007	J	`jnl`	A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. Int. J. Appl. Earth Obs. Geoinformation Wouter Dorigo, Raúl Zurita-Milla, Allard J. W. de Wit, Jason Brazile, Ranvir Singh, Michael E. Schaepman
2007	C	`conf`	Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data. IGARSS Zbynek Malenovský, Lucie Homolová, Pavel Cudlin, Raúl Zurita-Milla, Michael E. Schaepman, Jan G. P. W. Clevers, Emmanuel Martin, Jean-Philippe Gastellu-Etchegorry
2003	C	`conf`	Characterizing the spatial and temporal variability of biophysical variables of a wheat crop using hyper-spectral measurements. IGARSS Sophie Moulin, Raúl Zurita-Milla, Martine Guérif, Frédéric Baret