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)

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)

Analyzing floristic inventories with multiple maps. - Laurens van der Maaten; Sebastian Schmidtlein; Miguel D. Mahecha (Ecol. Informatics, 2012)

Climate Classifications: the Value of Unsupervised Clustering. - Jakob Zscheischler; Miguel D. Mahecha; Stefan Harmeling (ICCS, 2012)

Detection and attribution of large spatiotemporal extreme events in Earth observation data. - Jakob Zscheischler; Miguel D. Mahecha; Stefan Harmeling; Markus Reichstein (Ecol. Informatics, 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)

Ranking drivers of global carbon and energy fluxes over land. - Gustau Camps-Valls; Martin Jung 002; Kazuhito Ichii; Dario Papale; Gianluca Tramontana; Paul Bodesheim; Christopher R. Schwalm; Jakob Zscheischler; Miguel D. Mahecha; Markus Reichstein (IGARSS, 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 003; Peter B. Reich; Franziska Schrodt; Jens Kattge (Int. J. Appl. Earth Obs. Geoinformation, 2015)

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)

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 002; Miguel D. Mahecha; Dario Papale (IGARSS, 2018)

Modelling Landsurface Time-Series with Recurrent Neural Nets. - Markus Reichstein; Simon Besnard; Nuno Carvalhais; Fabian Gans; Martin Jung 002; Basil Kraft; Miguel D. Mahecha (IGARSS, 2018)

Predicting Landscapes as Seen from Space from Environmental Conditions. - Christian Requena-Mesa; Markus Reichstein; Miguel D. Mahecha; Basil Kraft; Joachim Denzler (IGARSS, 2018)

An Image Transform Based on Temporal Decomposition. - Felix Cremer; Mikhail Urbazaev; Christian Berger 004; Miguel D. Mahecha; Christiane Schmullius; Christian Thiel 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

dimRed and coRanking - Unifying Dimensionality Reduction in R. - Guido Kraemer; Markus Reichstein; Miguel D. Mahecha (R J., 2018)

Predicting Landscapes from Environmental Conditions Using Generative Networks. - Christian Requena-Mesa; Markus Reichstein; Miguel D. Mahecha; Basil Kraft; Joachim Denzler (GCPR, 2019)

Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems. - Maha Shadaydeh; Joachim Denzler; Yanira Guanche Garcia; Miguel D. Mahecha (GCPR, 2019)

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 (IGARSS, 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)

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)

Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space. - Xuanlong Ma; Mirco Migliavacca; Christian Wirth 003; Friedrich J. Bohn; Andreas Huth; Ronny Richter; Miguel D. Mahecha (Remote. Sens., 2020)

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)

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)

On-Demand Earth System Data Cubes. - David Montero 001; César Aybar; Chaonan Ji; Guido Kraemer; Maximilian Söchting; Khalil Teber; Miguel D. Mahecha (IGARSS, 2024)

Recurrent Neural Networks for Modelling Gross Primary Production. - David Montero 001; Miguel D. Mahecha; Francesco Martinuzzi; César Aybar; Anne Klosterhalfen; Alexander Knohl; Franziska Koebsch; Jesús Anaya; Sebastian Wieneke (IGARSS, 2024)

Lexcube: Interactive Visualization of Large Earth System Data Cubes. - Maximilian Söchting; Miguel D. Mahecha; David Montero 001; Gerik Scheuermann (IEEE Computer Graphics and Applications, 2024)

Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance. - David Montero 001; Miguel D. Mahecha; César Aybar; Clemens Mosig; Sebastian Wieneke (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 001; Karin Mora; Oscar J. Pellicer-Valero; Claire Robin; et al. (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; et al. (CoRR, 2024)

Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes. - Leonard Schulz; Jürgen Vollmer; Miguel D. Mahecha; Karin Mora (CoRR, 2024)

Earth System Data Cubes: Avenues for advancing Earth system research. - David Montero 001; Guido Kraemer; Anca Anghelea; César Aybar; Gunnar Brandt; Gustau Camps-Valls; Felix Cremer; Ida Flik; Fabian Gans; Sarah Habershon; Chaonan Ji; Teja Kattenborn; et al. (CoRR, 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)

PATCH-FILL: Multiscale Gap Filling for Earth System Data Cubes. - Charly Zimmer; Anja Neumann; Miguel D. Mahecha; Josefine Umlauft (IEEE Trans. Geosci. Remote. Sens., 2025)