Raúl Zurita-Milla
Orcid: 0000-0002-1769-6310
According to our database1,
Raúl Zurita-Milla
authored at least 49 papers
between 2003 and 2024.
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Bibliography
2024
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction.
CoRR, 2024
Comparative Evaluation of XAI Methods for Transparent Crop Yield Estimation Using CNN.
Proceedings of the IGARSS 2024, 2024
Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution.
Proceedings of the IGARSS 2024, 2024
Harmonizing Machine Learning Based Phenological Modeling: A Unified Workflow for Comparative Analyses.
Proceedings of the IGARSS 2024, 2024
2023
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle.
AI Soc., August, 2023
Spatial+: A new cross-validation method to evaluate geospatial machine learning models.
Int. J. Appl. Earth Obs. Geoinformation, 2023
Spatiotemporal domestic wastewater variability: Assessing implications of population mobility in pollutants dynamics.
Proceedings of the 26th AGILE Conference on Geographic Information Science, 2023
2022
J. Open Source Softw., 2022
Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features.
ISPRS Int. J. Geo Inf., 2022
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., 2022
2021
Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series.
Remote. Sens., 2021
2020
Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics.
IEEE Trans. Big Data, 2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
IEEE Geosci. Remote. Sens. Lett., 2020
An overview of clustering methods for geo-referenced time series: from one-way clustering to co- and tri-clustering.
Int. J. Geogr. Inf. Sci., 2020
An interactive web-based geovisual analytics platform for co-clustering spatio-temporal data.
Comput. Geosci., 2020
An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. <i>Remote Sensing</i> 2019, <i>11</i>, 575.
Remote. Sens., 2019
Remote. Sens., 2019
ISPRS Int. J. Geo Inf., 2019
2018
Remote. Sens., 2018
Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony.
ISPRS Int. J. Geo Inf., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
2017
Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining.
Trans. GIS, 2017
A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture.
Remote. Sens., 2017
Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining.
Int. J. Digit. Earth, 2017
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
On the use of guided regularized random forests to identify crops in smallholder farm fields.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
2016
Int. J. Geogr. Inf. Sci., 2016
2015
Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data.
Int. J. Geogr. Inf. Sci., 2015
Using geographically weighted regression kriging for crop yield mapping in West Africa.
Int. J. Geogr. Inf. Sci., 2015
A Matlab<sup>©</sup> toolbox for calculating spring indices from daily meteorological data.
Comput. Geosci., 2015
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, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Proceedings of the Connecting a Digital Europe Through Location and Place, 2014
2013
Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps.
IEEE Trans. Geosci. Remote. Sens., 2013
Int. J. Appl. Earth Obs. Geoinformation, 2013
2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping.
IEEE Trans. Geosci. Remote. Sens., 2011
Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study.
IEEE Trans. Geosci. Remote. Sens., 2011
Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series.
Cartogr. Int. J. Geogr. Inf. Geovisualization, 2011
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, 2011
2008
IEEE Geosci. Remote. Sens. Lett., 2008
2007
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling.
Int. J. Appl. Earth Obs. Geoinformation, 2007
Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2003
Characterizing the spatial and temporal variability of biophysical variables of a wheat crop using hyper-spectral measurements.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003