Raúl Zurita-Milla

发表

Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping

Luis Guanter, Luis Gómez-Chova, Gustavo Camps-Valls, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data

Michael E. Schaepman, Raúl Zurita-Milla, Jan G. P. W. Clevers, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Co-clustering geo-referenced time series: exploring spatio-temporal patterns in Dutch temperature data

Raúl Zurita-Milla, Menno-Jan Kraak, Xiaojing Wu, 2015, Int. J. Geogr. Inf. Sci..

Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series

Verónica Andreo, Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture

Valentyn Tolpekin, Raúl Zurita-Milla, Eric F. Vermote, 2017, Remote. Sens..

On the use of guided regularized random forests to identify crops in smallholder farm fields

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Rolf A. de By, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

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

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Romulo Goncalves, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

Introducing co-clustering for hyperspectral image analysis

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

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

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Azar Zafari, 2019, Remote. Sens..

A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Rolf A. de By, 2018, Remote. Sens..

Using geographically weighted regression kriging for crop yield mapping in West Africa

Alfred Stein, Raúl Zurita-Milla, Muhammad Imran, 2015, Int. J. Geogr. Inf. Sci..

A Matlab© toolbox for calculating spring indices from daily meteorological data

Mark D. Schwartz, Raúl Zurita-Milla, Toby R. Ault, 2015, Comput. Geosci..

Mapping specific crop- A multi sensor temporal approach

Anil Kumar, Alka Singh, Raúl Zurita-Milla, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, E. Izquierdo-Verdiguier, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Checking the Consistency of Volunteered Phenological Observations While Analysing Their Synchrony

Hamed Mehdipoor, Raúl Zurita-Milla, Arnold J. H. van Vliet, 2018, ISPRS Int. J. Geo Inf..

Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining

Raúl Zurita-Milla, Norhakim Yusof, R. Zurita-Milla, 2017, Int. J. Digit. Earth.

Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Romulo Goncalves, 2019, ISPRS Int. J. Geo Inf..

Mining Frequent Spatio-Temporal Patterns in Wind Speed and Direction

Menno-Jan Kraak, Raúl Zurita-Milla, Bas Retsios, 2014, AGILE Conf..

Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study

Luis Alonso, Luis Guanter, Luis Gómez-Chova, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series

Raúl Zurita-Milla, Ulanbek D. Turdukulov, Vasilios Retsios, 2011, Cartogr. Int. J. Geogr. Inf. Geovisualization.

Evaluating the Performance of a Random Forest Kernel for Land Cover Classification

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Azar Zafari, 2017, Remote. Sens..

Interactive discovery of sequential patterns in time series of wind data

Raúl Zurita-Milla, Menno-Jan Kraak, Bas Retsios, 2016, Int. J. Geogr. Inf. Sci..

Identifying crops in smallholder farms using time series of WorldView-2 images

Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Rolf A. de By, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

Raúl Zurita-Milla, Gilberto Câmara, Karine Reis Ferreira, 2021, Remote. Sens..

Characterizing the spatial and temporal variability of biophysical variables of a wheat crop using hyper-spectral measurements

Frédéric Baret, Raúl Zurita-Milla, Martine Guérif, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).