Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance

1 code implementation • 24 Apr 2024 • David Montero, Miguel D. Mahecha, César Aybar, Clemens Mosig, Sebastian Wieneke

Here we introduce sen2nbar, a Python package crafted to convert S2 SR data to NBAR, supporting both individual images and ESDCs derived from cloud-stored data.

On-Demand Earth System Data Cubes

1 code implementation • 19 Apr 2024 • David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha

Advancements in Earth system science have seen a surge in diverse datasets.

Recurrent Neural Networks for Modelling Gross Primary Production

no code implementations • 19 Apr 2024 • David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke

Accurate quantification of Gross Primary Production (GPP) is crucial for understanding terrestrial carbon dynamics.

ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models

1 code implementation • 8 Apr 2022 • Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora

We introduce ReservoirComputing. jl, an open source Julia library for reservoir computing models.

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences

2 code implementations • 29 Jul 2020 • J. Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls

We note that model function derivatives in kernel machines is proportional to the kernel function derivative.

Density Estimation Gaussian Processes