1 code implementation • 2 Oct 2024 • Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls
With climate change-related extreme events on the rise, high dimensional Earth observation data presents a unique opportunity for forecasting and understanding impacts on ecosystems.
no code implementations • 5 Aug 2024 • David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha
These include transforming data to conform to a spatio-temporal grid with minimum distortions and managing complexities such as spatio-temporal autocorrelation issues.
1 code implementation • 27 Jul 2024 • Leonard Schulz, Jürgen Vollmer, Miguel D. Mahecha, Karin Mora
Understanding the dynamics of the land-atmosphere exchange of CO$_2$ is key to advance our predictive capacities of the coupled climate-carbon feedback system.
1 code implementation • 26 Jun 2024 • Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Angel Fernandez-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Soechting, Melanie Weynants, Miguel D. Mahecha
With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems.
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.
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.
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.
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.
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.