Raúl Zurita-Milla

Orcid: 0000-0002-1769-6310

According to our database1, Raúl Zurita-Milla authored at least 44 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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

2022
CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes.
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

A Multiscale Random Forest Kernel for Land Cover Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective.
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

Evaluating the Performance of a Random Forest Kernel for Land Cover Classification.
Remote. Sens., 2019

Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets.
ISPRS Int. J. Geo Inf., 2019

2018
A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems.
Remote. Sens., 2018

Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony.
ISPRS Int. J. Geo Inf., 2018

Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval.
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

A Spark-Based Platform to Extract Phenological Information from Satellite Images.
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

Identifying crops in smallholder farms using time series of WorldView-2 images.
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
Interactive discovery of sequential patterns in time series of wind data.
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

Introducing co-clustering for hyperspectral image analysis.
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

Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction.
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

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2012
Mapping specific crop- A multi sensor temporal approach.
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
Unmixing-Based Landsat TM and MERIS FR Data Fusion.
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


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