IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • Vol 17
Global Carbon Fluxes Using Multioutput Gaussian Processes Regression and MODIS Products
January 2024 • Manuel Campos‐Taberner, María Amparo Gilabert Navarro, Sergio Sánchez-Ruíz, Beatriz Martínez, Adrián Jiménez-Guisado, Francisco Javier Garcı́a-Haro, L…
The quantification of carbon fluxes (CFs) is crucial due to their role in the global carbon cycle having a direct impact on Earth's climate. In the last years, considerable efforts have been made to scale CFs from eddy covariance (EC) data to the globe. In this work, a data-driven approach that exploits a multioutput Gaussian processes regression algorithm (<inline-formula><tex-math notation="LaTeX">$\mathcal{G}$</tex-math></inline-formula>-model) is proposed to jointly estimate gross primary production (GP…