Matías Salinero-Delgado

According to our database, Matías Salinero-Delgado authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine.

Dávid D. Kovács, Pablo Reyes-Muñoz, Matías Salinero-Delgado, Viktor Ixion Mészáros, Katja Berger, Jochem Verrelst

Remote. Sens., July, 2023

Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes.

Gabriel Caballero, Alejandro Pezzola, Cristina Winschel, Paolo Sanchez Angonova, Alejandra Casella, Luciano Orden, Matías Salinero-Delgado, Pablo Reyes-Muñoz, Katja Berger, Jesús Delegido, Jochem Verrelst

Remote. Sens., April, 2023

2022

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression.

Matías Salinero-Delgado, José Estévez, Luca Pipia, Santiago Belda, Katja Berger, Vanessa Paredes Gómez, Jochem Verrelst

Remote. Sens., 2022

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine.

Pablo Reyes-Muñoz, Luca Pipia, Matías Salinero-Delgado, Santiago Belda, Katja Berger, José Estévez, Miguel Morata, Juan Pablo Rivera Caicedo, Jochem Verrelst

Remote. Sens., 2022

2021

Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine.

Luca Pipia, Eatidal Amin, Santiago Belda, Matías Salinero-Delgado, Jochem Verrelst

Remote. Sens., 2021

Mapping Essential Vegetation Variables Over Europe Using Gaussian Process Regression and Sentinel-3 Data in Google Earth Engine.

Pablo Reyes-Muñoz, Luca Pipia, Matías Salinero-Delgado, Charlotte De Grave, José Estévez, Santiago Belda, Jochem Verrelst

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Crop Phenology Retrieval Through Gaussian Process Regression.

Santiago Belda, Luca Pipia, Eatidal Amin, Matías Salinero, Pablo Reyes, Jochem Verrelst

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021