/ml-dl-modis-multilayer-clouds

A TensorFlow deep learning algorithm for MODIS multilayer cloud and thermodynamic phase classification using CALIOP and CloudSat

Primary LanguageDockerfileMIT LicenseMIT

Objective

To develop a deep learning model to discriminate ice and liquid clouds from MODIS.

Updates

10-10-2020: create and test different score metrics

09-20-2020: create a loop over different MODIS Bands

09-12-2020: store deep learning models in a HDF5 file

09-10-2020: create a script to apply deep learning models to a single MODIS granule

09-05-2020: create a simple model to detect multilayer and cloud thermodynamic phase

09-01-2020: start the project

Download the project

git clone https://github.com/benjamin-hg-marchant/ml-dl-modis-multilayer-clouds.git

Read the doc