Francisco Gomariz-Castillo

Orcid: 0000-0003-4306-6643

According to our database1, Francisco Gomariz-Castillo authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Imagery Time Series Cloud Removal and Classification Using Long Short Term Memory Neural Networks.
Remote. Sens., June, 2024

2023
Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area.
Earth Sci. Informatics, December, 2023

Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using Machine Learning Algorithms.
Remote. Sens., January, 2023

2021
Scientific Programming Tools for Water Management.
Sci. Program., 2021

Effect of Different Atmospheric Correction Algorithms on Sentinel-2 Imagery Classification Accuracy in a Semiarid Mediterranean Area.
Remote. Sens., 2021

2019
Isolation Forests to Evaluate Class Separability and the Representativeness of Training and Validation Areas in Land Cover Classification.
Remote. Sens., 2019

Evaluating different i*-based approaches for selecting functional requirements while balancing and optimizing non-functional requirements: A controlled experiment.
Inf. Softw. Technol., 2019

Interpolation of Instantaneous Air Temperature Using Geographical and MODIS Derived Variables with Machine Learning Techniques.
ISPRS Int. J. Geo Inf., 2019

2018
A new approach to the openness index for landform characterisation.
Comput. Geosci., 2018

Calibration and spatial modelling of daily ET0 in semiarid areas using Hargreaves equation.
Earth Sci. Informatics, 2018

2017
Improving Classification Accuracy of Multi-Temporal Landsat Images by Assessing the Use of Different Algorithms, Textural and Ancillary Information for a Mediterranean Semiarid Area from 2000 to 2015.
Remote. Sens., 2017

Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery.
Comput. Geosci., 2017


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