RSC4Earth
RSC4Earth
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Remote Sensing in Geo- and Ecosystem Research
Earth System Data Science
Remote Sensing Department at the UFZ
Geoinformatics and Remote Sensing
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Francesco Martinuzzi
Latest
Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production
DeepExtremeCubes: Earth System Spatio-Temporal Data for Assessing Compound Heatwave and Drought Impacts
Learning Extreme Vegetation Response to Climate Drivers with Recurrent Neural Networks
Earth System Data Cubes: Avenues for Advancing Earth System Research
DeepExtremeCubes: Integrating Earth System Spatio-Temporal Data for Impact Assessment of Climate Extremes
SpectralIndices.Jl: Streamlining Spectral Indices Access and Computation for Earth System Research
A Standardized Catalogue of Spectral Indices to Advance the Use of Remote Sensing in Earth System Research
ReservoirComputing.Jl: An Efficient and Modular Library for Reservoir Computing Models
Composing Modeling and Simulation with Machine Learning in Julia
Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components
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