Miguel D. Mahecha

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 25

Top Topics

Functional Properties

Recurrent Neural Networks

Environmental Conditions

Interactive Visual

Top Venues

Publications

David Montero, Miguel D. Mahecha, César Aybar, Clemens Mosig, Sebastian Wieneke
Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance. CoRR (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 Söchting, Mélanie Weynants, Miguel D. Mahecha
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. CoRR (2024)
Leonard Schulz, Jürgen Vollmer, Miguel D. Mahecha, Karin Mora
Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes. CoRR (2024)
Maximilian Söchting, Miguel D. Mahecha, David Montero Loaiza, Gerik Scheuermann
Lexcube: Interactive Visualization of Large Earth System Data Cubes. IEEE Computer Graphics and Applications 44 (1) (2024)
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
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR (2024)
David Montero, Miguel D. Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, Sebastian Wieneke
Recurrent Neural Networks for Modelling Gross Primary Production. CoRR (2024)
David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha
On-Demand Earth System Data Cubes. CoRR (2024)
Daniel E. Pabon-Moreno, Mirco Migliavacca, Markus Reichstein, Miguel D. Mahecha
On the Potential of Sentinel-2 for Estimating Gross Primary Production. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. CoRR (2022)
Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models. J. Mach. Learn. Res. 23 (2022)
José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha
Discovering Differential Equations from Earth Observation Data. IGARSS (2020)
Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. CoRR (2020)
Kai Heckel, Marcel Urban, Patrick Schratz, Miguel D. Mahecha, Christiane Schmullius
Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion. Remote. Sens. 12 (2) (2020)
Xuanlong Ma, Mirco Migliavacca, Christian Wirth, Friedrich J. Bohn, Andreas Huth, Ronny Richter, Miguel D. Mahecha
Monitoring Plant Functional Diversity Using the Reflectance and Echo from Space. Remote. Sens. 12 (8) (2020)
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
Predicting Landscapes from Environmental Conditions Using Generative Networks. CoRR (2019)
Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel D. Mahecha
Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems. GCPR (2019)
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
Predicting Landscapes from Environmental Conditions Using Generative Networks. GCPR (2019)
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
Predicting Landscapes as Seen from Space from Environmental Conditions. IGARSS (2018)
Markus Reichstein, Simon Besnard, Nuno Carvalhais, Fabian Gans, Martin Jung, Basil Kraft, Miguel D. Mahecha
Modelling Landsurface Time-Series with Recurrent Neural Nets. IGARSS (2018)
Gaia Vaglio Laurin, Cristina Vittucci, Gianluca Tramontana, Paul Bodesheim, Paolo Ferrazzoli, Leila Guerriero, Martin Jung, Miguel D. Mahecha, Dario Papale
SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests. IGARSS (2018)
Guido Kraemer, Markus Reichstein, Miguel D. Mahecha
dimRed and coRanking - Unifying Dimensionality Reduction in R. R J. 10 (1) (2018)
Felix Cremer, Mikhail Urbazaev, Christian Berger, Miguel D. Mahecha, Christiane Schmullius, Christian Thiel
An Image Transform Based on Temporal Decomposition. IEEE Geosci. Remote. Sens. Lett. 15 (4) (2018)
Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler
Maximally Divergent Intervals for Anomaly Detection. CoRR (2016)
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
The imprint of plants on ecosystem functioning: A data-driven approach. Int. J. Appl. Earth Obs. Geoinformation 43 (2015)
Gustau Camps-Valls, Martin Jung, Kazuhito Ichii, Dario Papale, Gianluca Tramontana, Paul Bodesheim, Christopher R. Schwalm, Jakob Zscheischler, Miguel D. Mahecha, Markus Reichstein
Ranking drivers of global carbon and energy fluxes over land. IGARSS (2015)
Matthias Forkel, Nuno Carvalhais, Jan Verbesselt, Miguel D. Mahecha, Christopher S. R. Neigh, Markus Reichstein
Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology. Remote. Sens. 5 (5) (2013)
Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein
Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecol. Informatics 15 (2013)
Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling
Climate Classifications: the Value of Unsupervised Clustering. ICCS (2012)
Laurens van der Maaten, Sebastian Schmidtlein, Miguel D. Mahecha
Analyzing floristic inventories with multiple maps. Ecol. Informatics 9 (2012)
Miguel D. Mahecha, Lina M. Fürst, Nadine Gobron, Holger Lange
Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity. Pattern Recognit. Lett. 31 (14) (2010)
Miguel D. Mahecha, Alfredo Martínez, Gunnar Lischeid, Erwin Beck
Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data. Ecol. Informatics 2 (2) (2007)