Julia Sanz Justo +
Julia Sanz Justo +
Dirección de correo verificada de latuv.uva.es
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A novel grouping genetic algorithm–extreme learning machine approach for global solar radiation prediction from numerical weather models inputs
A Aybar-Ruiz, S Jiménez-Fernández, L Cornejo-Bueno, ...
Solar Energy 132, 129-142, 2016
622016
Machine learning regressors for solar radiation estimation from satellite data
L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, S Salcedo-Sanz
Solar Energy 183, 768-775, 2019
222019
Efficient prediction of low-visibility events at airports using machine-learning regression
L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo, E Cerro-Prada, ...
Boundary-layer meteorology 165 (2), 349-370, 2017
192017
A CRO-species optimization scheme for robust global solar radiation statistical downscaling
S Salcedo-Sanz, S Jiménez-Fernández, A Aybar-Ruíz, ...
Renewable Energy 111, 63-76, 2017
162017
Can Eltonian processes explain species distributions at large scale? A case study with Great Bustard (Otis tarda)
JM Alvarez‐Martínez, S Suárez‐Seoane, C Palacín, J Sanz, JC Alonso
Diversity and Distributions 21 (2), 123-138, 2015
132015
Prediction of low-visibility events due to fog using ordinal classification
D Guijo-Rubio, PA Gutiérrez, C Casanova-Mateo, J Sanz-Justo, ...
Atmospheric Research 214, 64-73, 2018
112018
Rapid response for cloud monitoring through Meteosat VIS‐IR and NOAA–A/TOVS image fusion: civil aviation application. A first approach to MSG‐SEVIRI
C Casanova, A Romo, E Hernandez, JL Casanova, J Sanz
International Journal of Remote Sensing 26 (8), 1699-1716, 2005
112005
Feature selection in solar radiation prediction using bootstrapped SVRs
O Garcia-Hinde, V Gómez-Verdejo, M Martínez-Ramón, ...
2016 IEEE Congress on Evolutionary Computation (CEC), 3638-3645, 2016
102016
Potato yield prediction using machine learning techniques and sentinel 2 data
D Gómez, P Salvador, J Sanz, JL Casanova
Remote Sensing 11 (15), 1745, 2019
92019
Forest Fire detection and monitoring By means of an integrated MODISMSG SYSTEM
JL Casanova, A Calle, A Romo, JA Sanz
Remote Sensing Laboratory of University of Valladolid (Spain) IEEE, 2005
92005
Detection and monitoring of forest fires in China through the ENVISAT-AATSR sensor
A Calle, J Sanz, C Moclan, JL Casanova, JG Goldammer, L Zengyuan, ...
ESASP 611, 33.1, 2006
82006
Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania
D Gómez, P Salvador, J Sanz, C Casanova, JL Casanova
Remote Sensing 10 (10), 1541, 2018
62018
Efficient fog prediction with multi-objective evolutionary neural networks
AM Durán-Rosal, JC Fernández, C Casanova-Mateo, J Sanz-Justo, ...
Applied Soft Computing 70, 347-358, 2018
62018
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting
O García-Hinde, G Terrén-Serrano, MA Hombrados-Herrera, ...
Engineering Applications of Artificial Intelligence 69, 157-167, 2018
62018
Detection and monitoring of forest fires in China through the ENVISAT-AATSR sensor
A Calle, JL Casanova, C Moclán
Proceedings of the 5th International Workshop on Remote Sensing and GIS …, 2005
62005
Fire detection and monitoring, in real time, using MSG images
A Calle, A Romo, J Sanz, JL Casanova
Proceedings of the Second MSG RAO Workshop, 2004
62004
Desert locust detection using Earth observation satellite data in Mauritania
D Gómez, P Salvador, J Sanz, C Casanova, D Taratiel, JL Casanova
Journal of Arid Environments 164, 29-37, 2019
52019
Forest fires identification using AATSR and MODIS data
Q Xianlin, L ZengYuan, T Xin, JL Casanova, A Calle, C Moclán, J Sanz
European Space Agency,(Special Publication) 1, 293-299, 2006
52006
Forest burn in China by means of MERIS and MODIS images
F González-Alonso, V Salgado, V Calle, JL Casanova, J Sanz, ...
Dragon 2 Symposium, June, 2009
42009
Analysis of forest fire parametres using BIRD, MODIS and MSG-SEVIRI sensors
A Calle, A Romo, J Sanz, JL Casanova
EARSeL symposium, Dubrovnik (Croatia), 2004
42004
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