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Raúl Zurita-Milla
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2020 – today
- 2024
- [i1]Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla:
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction. CoRR abs/2404.12575 (2024) - 2023
- [j34]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: 103364 (2023) - [j33]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 Viet 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): 1465-1484 (2023) - 2022
- [j32]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): 2473-2495 (2022) - [j31]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): 242 (2022) - [j30]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): 4032 (2022) - 2021
- [j29]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): 974 (2021) - 2020
- [j28]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: 102051 (2020) - [j27]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: 104420 (2020) - [j26]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): 1822-1848 (2020) - [j25]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): 1702-1706 (2020) - [j24]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: 2842-2852 (2020) - [j23]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): 583-593 (2020)
2010 – 2019
- 2019
- [j22]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): 55 (2019) - [j21]Azar Zafari
, Raúl Zurita-Milla
, Emma Izquierdo-Verdiguier
:
Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote. Sens. 11(5): 575 (2019) - [j20]Azar Zafari
, Raúl Zurita-Milla
, Emma Izquierdo-Verdiguier
:
Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. Remote Sensing 2019, 11, 575. Remote. Sens. 11(12): 1489 (2019) - 2018
- [j19]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): 487 (2018) - [j18]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): 729 (2018) - [c10]Viktor Bakayov, Romulo Goncalves, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
:
A Spark-Based Platform to Extract Phenological Information from Satellite Images. eScience 2018: 354-355 - [c9]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: 4670-4673 - [c8]Emma Izquierdo-Verdiguier
, Raúl Zurita-Milla:
Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval. IGARSS 2018: 5776-5779 - 2017
- [j17]Norhakim Yusof, Raúl Zurita-Milla
:
Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining. Int. J. Digit. Earth 10(3): 238-256 (2017) - [j16]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): 1048 (2017) - [j15]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): 277-299 (2017) - [c7]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: 1-3 - [c6]Raúl Zurita-Milla, Emma Izquierdo-Verdiguier
, Rolf A. de By:
Identifying crops in smallholder farms using time series of WorldView-2 images. MultiTemp 2017: 1-3 - 2016
- [j14]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): 1486-1506 (2016) - 2015
- [j13]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: 7-18 (2015) - [j12]Toby R. Ault, Raúl Zurita-Milla
, Mark D. Schwartz:
A Matlab© toolbox for calculating spring indices from daily meteorological data. Comput. Geosci. 83: 46-53 (2015) - [j11]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): 234-257 (2015) - [j10]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): 624-642 (2015) - [c5]Emma Izquierdo-Verdiguier
, Raúl Zurita-Milla
:
Introducing co-clustering for hyperspectral image analysis. IGARSS 2015: 465-468 - 2014
- [j9]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: 322-334 (2014) - [c4]Norhakim Yusof, Raúl Zurita-Milla
, Menno-Jan Kraak, Bas Retsios:
Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction. AGILE Conf. 2014: 143-161 - 2013
- [j8]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: 132-141 (2013) - [j7]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): 1914-1921 (2013) - 2012
- [c3]Gourav Misra
, Anil Kumar, N. R. Patel, Raúl Zurita-Milla, Alka Singh:
Mapping specific crop- A multi sensor temporal approach. IGARSS 2012: 3034-3037 - 2011
- [j6]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): 560-561 (2011) - [j5]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): 227-238 (2011) - [j4]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): 2601-2611 (2011) - [j3]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): 4308-4317 (2011)
2000 – 2009
- 2008
- [j2]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): 453-457 (2008) - 2007
- [j1]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): 165-193 (2007) - [c2]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: 4057-4060 - 2003
- [c1]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: 2206-2208
Coauthor Index
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