Papers

For a more complete list, please see my google scholar page.

Submitted

Information theory measures via multidimensional Gaussianization
Valero Laparra, J. Emmanuel Johnson, Gustau Camps-Valls, Raul Santos-Rodríguez, Jesus Malo
Project Web | Paper | Code

Published

2021

Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
J Emmanuel Johnson, Valero Laparra, Maria Piles, Gustau Camps-Valls
IEEE Geoscience and Remote Sensing Magazine
Paper | Code

Learning Relevant Features of Optical Water Types
Katalin Blix, Ana Belen Ruescas, J. Emmanuel Johnson, Gustau Camps-Valls
IEEE Geoscience and Remote Sensing Letters
Paper

2020

Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
J. Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D Mahecha, Gustau Camps-Valls
PLOS One
Paper | Code

Estimation of oceanic particulate organic carbon with machine learning
Raphaëlle Sauzède, J. Emmanuel Johnson, Hervé Claustre, Gustau Camps-Valls, Ana Ruescas
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
Paper (PDF) | Code

2019

Accounting for input noise in Gaussian process parameter retrieval
J. Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
IEEE Geoscience and Remote Sensing Letters
Paper | Code

2016

Wind-driven circulation in a shallow microtidal estuary: The Indian River Lagoon
Robert J Weaver, J. Emmanuel Johnson, Morgan Ridler
Journal of Coastal Research
Paper