Cover Image

Earth System Data Cubes: Avenues for advancing Earth system research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Montero, David, Kraemer, Guido, Anghelea, Anca, Aybar, César, Brandt, Gunnar, Camps-Valls, Gustau, Cremer, Felix, Flik, Ida, Gans, Fabian, Habershon, Sarah, Ji, Chaonan, Kattenborn, Teja, Martínez-Ferrer, Laura, Martinuzzi, Francesco, Reinhardt, Martin, Söchting, Maximilian, Teber, Khalil, Mahecha, Miguel D.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On-Demand Earth System Data Cubes
by: Montero, David, et al.
Published: (2024)

Video Compression for Spatiotemporal Earth System Data
by: Pellicer-Valero, Oscar J., et al.
Published: (2025)

DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes
by: Ji, Chaonan, et al.
Published: (2024)

Explainable Earth Surface Forecasting under Extreme Events
by: Pellicer-Valero, Oscar J., et al.
Published: (2024)

Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
by: Johnson, J. Emmanuel, et al.
Published: (2020)

Geo-Disasters: geocoding climate-related events in the international disaster database EM-DAT
by: Teber, Khalil, et al.
Published: (2025)

Review of pilot support and interaction with the academy (NFDI4Earth D2.5.10)
by: Cremer, Felix, et al.
Published: (2023)

On the Generalization of Representation Uncertainty in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

Probabilistic Machine Learning for Noisy Labels in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)

Fun with Flags: Robust Principal Directions via Flag Manifolds
by: Mankovich, Nathan, et al.
Published: (2024)

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
by: Kondylatos, Spyros, et al.
Published: (2025)

Learning Causal Response Representations through Direct Effect Analysis
by: Durand, Homer, et al.
Published: (2025)

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2024)

Out-of-distribution robustness for multivariate analysis via causal regularisation
by: Durand, Homer, et al.
Published: (2024)

A Flag Decomposition for Hierarchical Datasets
by: Mankovich, Nathan, et al.
Published: (2025)

Macrophenological dynamics from citizen science plant occurrence data
by: Karin Mora, et al.
Published: (2024)

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
by: Hong, Danfeng, et al.
Published: (2026)

Assessing the Causal Impact of Humanitarian Aid on Food Security
by: Cerdà-Bautista, Jordi, et al.
Published: (2023)

Recovering Latent Confounders from High-dimensional Proxy Variables
by: Mankovich, Nathan, et al.
Published: (2024)

OpenForest: A data catalogue for machine learning in forest monitoring
by: Ouaknine, Arthur, et al.
Published: (2023)

Staged Event Trees for Transparent Treatment Effect Estimation
by: Varando, Gherardo, et al.
Published: (2025)

Causal hybrid modeling with double machine learning
by: Cohrs, Kai-Hendrik, et al.
Published: (2024)

Large Language Models for Constrained-Based Causal Discovery
by: Cohrs, Kai-Hendrik, et al.
Published: (2024)

CRITERIOS PARA DETERMINAR EL INDEMNIZATORIO EN EL DAÑO MORAL UN ESTUDIO DE LA JURISPRUDENCIA ESPAÑOLA
by: Andrés Söchting Herrera
Published: (2006)

Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production
by: Montero, David, et al.
Published: (2025)

Recurrent Neural Networks for Modelling Gross Primary Production
by: Montero, David, et al.
Published: (2024)

FR2/mmWave, N258 and N261 Bands, 5G Frequency‐Compatible Ultra‐Thin Metamaterial Absorber with Polarization Insensitivity for EMI shielding Applications
by: Ahmet Teber
Published: (2024)

OpenSR-SRGAN: A Flexible Super-Resolution Framework for Multispectral Earth Observation Data
by: Donike, Simon, et al.
Published: (2025)

Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward
by: Tuia, Devis, et al.
Published: (2023)

Information Theory Measures via Multidimensional Gaussianization
by: Laparra, Valero, et al.
Published: (2020)

Context-Aware Multimodal Representation Learning for Spatio-Temporally Explicit Environmental Modelling
by: Peters, Julia, et al.
Published: (2025)

Updated Earth Tomography Using Atmospheric Neutrinos at IceCube
by: Wen, Alex
Published: (2025)

Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications
by: Mankovich, Nathan, et al.
Published: (2025)

Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
by: Papadopoulos, Nikolas, et al.
Published: (2025)

TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts
by: Prapas, Ioannis, et al.
Published: (2025)

Neutrino Oscillation Tomography of the Earth with the Hyper-Kamiokande Detector
by: Jesús-Valls, César, et al.
Published: (2024)

Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks
by: Martinuzzi, Francesco
Published: (2025)

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics
by: Martinuzzi, Francesco
Published: (2025)

Mapping tropical dry forest habitats integrating Landsat NDVI, Ikonos imagery, and topographic information in the Caribbean Island of Mona
by: Sebastián Martinuzzi
Published: (2008)

EarthyScience/RQADeforestation.jl: Initial Release
by: Daniel Loos, et al.
Published: (2025)