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2020 – today
- 2024
[c13]Francesco Nattino, Emma Izquierdo-Verdiguier, Pranav Chandramouli, Meiert W. Grootes, Ou Ku, Fakhereh Alidoost, Raúl Zurita-Milla:
Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution. IGARSS 2024: 996-999- [c12]Mahdi Khodadadzadeh, Peter Kalverla, Raúl Zurita-Milla:
Harmonizing Machine Learning Based Phenological Modeling: A Unified Workflow for Comparative Analyses. IGARSS 2024: 5333-5336 - [c11]Arun Venugopal, Mahdi Farnaghi
, Raúl Zurita-Milla:
Comparative Evaluation of XAI Methods for Transparent Crop Yield Estimation Using CNN. IGARSS 2024: 7478-7482 - [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]Sophie 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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