Julia Sanz

Orcid: 0000-0002-4253-4831

Affiliations:
  • University of Valladolid, Remote Sensing Laboratory, Spain


According to our database1, Julia Sanz authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information.
Knowl. Based Syst., January, 2024

2022
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives.
Appl. Soft Comput., 2022

2021
Regional estimation of garlic yield using crop, satellite and climate data in Mexico.
Comput. Electron. Agric., 2021

2020
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain.
Symmetry, 2020

An Empirical Radiometric Intercomparison Methodology Based on Global Simultaneous Nadir Overpasses Applied to Landsat 8 and Sentinel-2.
Remote. Sens., 2020

Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine Learning Approach.
ISPRS Int. J. Geo Inf., 2020

2019
Analysis of Spatial and Temporal Variability in Libya-4 with Landsat 8 and Sentinel-2 Data for Optimized Ground Target Location.
Remote. Sens., 2019

Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data.
Remote. Sens., 2019

2018
Decorrelation of Satellite Precipitation Estimates in Space and Time.
Remote. Sens., 2018

Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania.
Remote. Sens., 2018

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting.
Eng. Appl. Artif. Intell., 2018

Efficient fog prediction with multi-objective evolutionary neural networks.
Appl. Soft Comput., 2018

Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2016
Feature selection in solar radiation prediction using bootstrapped SVRs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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