Raúl Zurita-Milla

Author Info

Name	Affiliation	Papers
RAÚL ZURITA-MILLA	Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands	30
Collaborators	Citations	PageRank
63	84	13.43
Referers	Referees	References
251	576	195

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100576

Publications (30 rows)

Collaborators (63 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective	0	0.34	2020
Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics	0	0.34	2020
An interactive web-based geovisual analytics platform for co-clustering spatio-temporal data	0	0.34	2020
An Overview Of Clustering Methods For Geo-Referenced Time Series: From One-Way Clustering To Co- And Tri-Clustering	0	0.34	2020
An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing.	1	0.37	2020
Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets.	0	0.34	2019
Correction: Zafari, A.; Zurita-Milla, R.; Izquierdo-Verdiguier, E. Evaluating the Performance of a Random Forest Kernel for Land Cover Classification. 2019, , 575.	0	0.34	2019
Evaluating the Performance of a Random Forest Kernel for Land Cover Classification.	0	0.34	2019
A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems.	5	0.53	2018
A Spark-Based Platform to Extract Phenological Information from Satellite Images	0	0.34	2018
Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony.	0	0.34	2018
A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture.	3	0.44	2017
Identifying Environmental and Human Factors Associated With Tick Bites using Volunteered Reports and Frequent Pattern Mining.	0	0.34	2017
On the use of guided regularized random forests to identify crops in smallholder farm fields	0	0.34	2017
Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining.	3	0.39	2017
Identifying crops in smallholder farms using time series of WorldView-2 images	0	0.34	2017
Interactive discovery of sequential patterns in time series of wind data.	2	0.39	2016
Introducing Co-Clustering For Hyperspectral Image Analysis	0	0.34	2015
A Matlab© toolbox for calculating spring indices from daily meteorological data.	0	0.34	2015
Visualizing the ill-posedness of the inversion of a canopy radiative transfer model: A case study for Sentinel-2.	2	0.42	2015
Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction.	1	0.35	2014
Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products.	2	0.41	2014
Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring.	33	1.52	2013
Exploring Spatiotemporal Phenological Patterns and Trajectories Using Self-Organizing Maps.	3	0.46	2013
Mapping specific crop- A multi sensor temporal approach	0	0.34	2012
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.	0	0.34	2011
Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping.	16	0.86	2011
Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study.	5	0.69	2011
Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series.	4	0.48	2011
Physically-Based Retrievals Of Norway Spruce Canopy Variables From Very High Spatial Resolution Hyperspectral Data	4	0.70	2007