Miguel D. Mahecha

38 papers C 7Misc 1Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Context-Aware Multimodal Representation Learning for Spatio-Temporally Explicit Environmental Modelling.
CoRR
Julia Peters, Karin Mora, Miguel D. Mahecha, Chaonan Ji, David Montero, Clemens Mosig, Guido Kraemer
2025 J jnl
PATCH-FILL: Multiscale Gap Filling for Earth System Data Cubes.
IEEE Trans. Geosci. Remote. Sens.
Charly Zimmer, Anja Neumann, Miguel D. Mahecha, Josefine Umlauft
2025 J jnl
Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production.
CoRR
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Jesús Anaya, Clemens Mosig, Sebastian Wieneke
2024 J jnl
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges.
CoRR
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
2024 J jnl
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes.
CoRR
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
2024 J jnl
Earth System Data Cubes: Avenues for advancing Earth system research.
CoRR
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
2024 J jnl
Explainable Earth Surface Forecasting under Extreme Events.
CoRR
Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls
2024 J jnl
Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance.
CoRR
David Montero, Miguel D. Mahecha, César Aybar, Clemens Mosig, Sebastian Wieneke
2024 J jnl
Lexcube: Interactive Visualization of Large Earth System Data Cubes.
IEEE Computer Graphics and Applications
Maximilian Söchting, Miguel D. Mahecha, David Montero, Gerik Scheuermann
2024 J jnl
Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes.
CoRR
Leonard Schulz, Jürgen Vollmer, Miguel D. Mahecha, Karin Mora
2024 C conf
On-Demand Earth System Data Cubes.
IGARSS
David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha
2024 J jnl
On-Demand Earth System Data Cubes.
CoRR
David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha
2024 C conf
Recurrent Neural Networks for Modelling Gross Primary Production.
IGARSS
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke
2024 J jnl
Recurrent Neural Networks for Modelling Gross Primary Production.
CoRR
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke
2022 J jnl
On the Potential of Sentinel-2 for Estimating Gross Primary Production.
IEEE Trans. Geosci. Remote. Sens.
Daniel E. Pabon-Moreno, Mirco Migliavacca, Markus Reichstein, Miguel D. Mahecha
2022 J jnl
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models.
CoRR
Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
2022 J jnl
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models.
J. Mach. Learn. Res.
Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
2020 C conf
Discovering Differential Equations from Earth Observation Data.
IGARSS
José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha
2020 J jnl
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences.
CoRR
Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
2020 J jnl
Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space.
Remote. Sens.
Xuanlong Ma, Mirco Migliavacca, Christian Wirth, Friedrich J. Bohn, Andreas Huth, Ronny Richter, Miguel D. Mahecha
2020 J jnl
Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion.
Remote. Sens.
Kai Heckel, Marcel Urban, Patrick Schratz, Miguel D. Mahecha, Christiane Schmullius
2019 — conf
Predicting Landscapes from Environmental Conditions Using Generative Networks.
GCPR
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
2019 J jnl
Predicting Landscapes from Environmental Conditions Using Generative Networks.
CoRR
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
2019 — conf
Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems.
GCPR
Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel D. Mahecha
2018 J jnl
An Image Transform Based on Temporal Decomposition.
IEEE Geosci. Remote. Sens. Lett.
Felix Cremer, Mikhail Urbazaev, Christian Berger, Miguel D. Mahecha, Christiane Schmullius, Christian Thiel
2018 C conf
Modelling Landsurface Time-Series with Recurrent Neural Nets.
IGARSS
Markus Reichstein, Simon Besnard, Nuno Carvalhais, Fabian Gans, Martin Jung, Basil Kraft, Miguel D. Mahecha
2018 C conf
Predicting Landscapes as Seen from Space from Environmental Conditions.
IGARSS
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
2018 C conf
SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests.
IGARSS
Gaia Vaglio Laurin, Cristina Vittucci, Gianluca Tramontana, Paul Bodesheim, Paolo Ferrazzoli, Leila Guerriero, Martin Jung, Miguel D. Mahecha, Dario Papale
2018 J jnl
dimRed and coRanking - Unifying Dimensionality Reduction in R.
R J.
Guido Kraemer, Markus Reichstein, Miguel D. Mahecha
2016 J jnl
Maximally Divergent Intervals for Anomaly Detection.
CoRR
Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler
2015 C conf
Ranking drivers of global carbon and energy fluxes over land.
IGARSS
Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein
2015 J jnl
The imprint of plants on ecosystem functioning: A data-driven approach.
Int. J. Appl. Earth Obs. Geoinformation
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
2013 J jnl
Detection and attribution of large spatiotemporal extreme events in Earth observation data.
Ecol. Informatics
Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein
2013 J jnl
Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology.
Remote. Sens.
Matthias Forkel, Nuno Carvalhais, Jan Verbesselt, Miguel D. Mahecha, Christopher S. R. Neigh, Markus Reichstein
2012 J jnl
Analyzing floristic inventories with multiple maps.
Ecol. Informatics
Laurens van der Maaten, Sebastian Schmidtlein, Miguel D. Mahecha
2012 Misc conf
Climate Classifications: the Value of Unsupervised Clustering.
ICCS
Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling
2010 J jnl
Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity.
Pattern Recognit. Lett.
Miguel D. Mahecha, Lina M. Fürst, Nadine Gobron, Holger Lange
2007 J jnl
Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data.
Ecol. Informatics
Miguel D. Mahecha, Alfredo Martínez, Gunnar Lischeid, Erwin Beck