Miguel D. Mahecha

According to our database, Miguel D. Mahecha authored at least 31 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explainable Earth Surface Forecasting under Extreme Events.

Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls

CoRR, 2024

Earth System Data Cubes: Avenues for advancing Earth system research.

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

CoRR, 2024

Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes.

Leonard Schulz, Jürgen Vollmer, Miguel D. Mahecha, Karin Mora

CoRR, 2024

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges.

Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams

CoRR, 2024

DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes.

Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha

CoRR, 2024

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

David Montero, Miguel D. Mahecha, César Aybar, Clemens Mosig, Sebastian Wieneke

CoRR, 2024

Lexcube: Interactive Visualization of Large Earth System Data Cubes.

Maximilian Söchting, Miguel D. Mahecha, David Montero, Gerik Scheuermann

IEEE Computer Graphics and Applications, 2024

Recurrent Neural Networks for Modelling Gross Primary Production.

David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke

Proceedings of the IGARSS 2024, 2024

On-Demand Earth System Data Cubes.

David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha

Proceedings of the IGARSS 2024, 2024

2022

On the Potential of Sentinel-2 for Estimating Gross Primary Production.

Daniel E. Pabon-Moreno, Mirco Migliavacca, Markus Reichstein, Miguel D. Mahecha

IEEE Trans. Geosci. Remote. Sens., 2022

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

Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora

J. Mach. Learn. Res., 2022

2020

Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space.

Xuanlong Ma, Mirco Migliavacca, Christian Wirth, Friedrich J. Bohn, Andreas Huth, Ronny Richter, Miguel D. Mahecha

Remote. Sens., 2020

Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion.

Kai Heckel, Marcel Urban, Patrick Schratz, Miguel D. Mahecha, Christiane Schmullius

Remote. Sens., 2020

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

Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls

CoRR, 2020

Discovering Differential Equations from Earth Observation Data.

José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems.

Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel D. Mahecha

Proceedings of the Pattern Recognition, 2019

Predicting Landscapes from Environmental Conditions Using Generative Networks.

Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler

Proceedings of the Pattern Recognition, 2019

2018

dimRed and coRanking - Unifying Dimensionality Reduction in R.

Guido Kraemer, Markus Reichstein, Miguel D. Mahecha

R J., 2018

An Image Transform Based on Temporal Decomposition.

Felix Cremer, Mikhail Urbazaev, Christian Berger, Miguel D. Mahecha, Christiane Schmullius, Christian Thiel

IEEE Geosci. Remote. Sens. Lett., 2018

Predicting Landscapes as Seen from Space from Environmental Conditions.

Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Modelling Landsurface Time-Series with Recurrent Neural Nets.

Markus Reichstein, Simon Besnard, Nuno Carvalhais, Fabian Gans, Martin Jung, Basil Kraft, Miguel D. Mahecha

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests.

Gaia Vaglio Laurin, Cristina Vittucci, Gianluca Tramontana, Paul Bodesheim, Paolo Ferrazzoli, Leila Guerriero, Martin Jung, Miguel D. Mahecha, Dario Papale

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016

Maximally Divergent Intervals for Anomaly Detection.

Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler

CoRR, 2016

2015

The imprint of plants on ecosystem functioning: A data-driven approach.

Talie Musavi, Miguel D. Mahecha, Mirco Migliavacca, Markus Reichstein, Martine Janet van de Weg, Peter M. van Bodegom, Michael Bahn, Christian Wirth, Peter B. Reich, Franziska Schrodt, Jens Kattge

Int. J. Appl. Earth Obs. Geoinformation, 2015

Ranking drivers of global carbon and energy fluxes over land.

Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2013

Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology.

Matthias Forkel, Nuno Carvalhais, Jan Verbesselt, Miguel D. Mahecha, Christopher S. R. Neigh, Markus Reichstein

Remote. Sens., 2013

Detection and attribution of large spatiotemporal extreme events in Earth observation data.

Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein

Ecol. Informatics, 2013

2012

Climate Classifications: the Value of Unsupervised Clustering.

Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling

Proceedings of the International Conference on Computational Science, 2012

Analyzing floristic inventories with multiple maps.

Laurens van der Maaten, Sebastian Schmidtlein, Miguel D. Mahecha

Ecol. Informatics, 2012

2010

Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity.

Miguel D. Mahecha, Lina M. Fürst, Nadine Gobron, Holger Lange

Pattern Recognit. Lett., 2010

2007

Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data.

Miguel D. Mahecha, Alfredo Martínez, Gunnar Lischeid, Erwin Beck

Ecol. Informatics, 2007