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3Drec

made-with-python

3Drec provides the implementation of two deep learning networks designed to reconstruct the 3D ocean structure from 2D satellite data: one based on a deep feed-forward network (FFNN3D) and one based on a stacked Long-Short Term Memory network (LSTM3D).

The two networks and the training/test data used for their development are fully described in the paper:

  • Buongiorno Nardelli, B., A Deep Learning Network to Retrieve Ocean Hydrographic Profiles from Combined Satellite and In Situ Measurements, Remote Sensing, 2020. DOI:10.3390/rs12193151

Installation

The code is written in Python 3

These are the python packages required (tested versions):

  • keras 2.2.4
  • numpy 1.18.1
  • netcdf4 1.5.3
  • pandas 1.0.3
  • seawater 3.3.4

Training data

The data used to develop the models can be found at DOI

Author

Bruno Buongiorno Nardelli, Consiglio Nazionale delle Ricerche - Istituto di Scienze Marine

Funding

The development of this code was partly funded by the European Space Agency through the World Ocean Current project (ESA Contract No. 4000130730/20/I-NB).

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