Diego Loyola

发表

Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project

Thomas Wagner, Steffen Beirle, Andreas Richter, 2017 .

S5P/TROPOMI: Overview of Status and Plans for the Operational Level 2 Data Products

Thomas Wagner, Michel Van Roozendael, Diego Loyola, 2019 .

Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection

Diego Loyola, Víctor Molina García, Dmitry S. Efremenko, 2019, Remote. Sens..

Model Selection in Atmospheric Remote Sensing with an Application to Aerosol Retrieval from DSCOVR/EPIC, Part 1: Theory

Adrian Doicu, Diego Loyola, Víctor Molina García, 2020, Remote. Sens..

Optical property dimensionality reduction techniques for accelerated radiative transfer performance: Application to remote sensing total ozone retrievals

Thomas Trautmann, Adrian Doicu, Diego Loyola, 2014 .

Using Machine Learning for processing Big Data of Copernicus Satellite Sensors at the Example of the TROPOMI / Sentinel-5 Precursor and Sentinel-4 Cloud Product

Diego Loyola, Víctor Molina García, Fabian Romahn, 2020 .

Improved TROPOMI SO2 columns using aCovariance-Based Retrieval Algorithm (COBRA)

Thomas Wagner, Huan Yu, Nicolas Theys, 2020 .

Early Results from TROPOMI on the Copernicus Sentinel 5 Precursor

Diego Loyola, Richard Siddans, Andreas Richter, 2017 .

An overview of the S5P/TROPOMI level 2 file format

Diego Loyola, Arnoud Apituley, Mattia Pedergnana, 2018 .

Using Machine Learning for processing Big Data of Copernicus Satellite Sensors at the Example of the TROPOMI/Sentinel 5 Precursor (S5P) Cloud Product

Jian Xu, Mattia Pedergnana, Diego Loyola, 2019 .

TROPOMI SO2 column retrievals: validation, inter-comparison with other satellite data sets and algorithm evolution

Thomas Wagner, Huan Yu, Nicolas Theys, 2020 .