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seviri

Here are 3 public repositories matching this topic...

danielphilipp / seviri_ml

SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud top temperature, (4) a multilayer flag and (5) a cloud base height from SEVIRI measurements using its full spectral capabilities. Also to be used as external module with ORAC (https://github.com/ORAC-CC/orac).

cloud theano neural-network retrieval tensorflow climate machinelearning meteosat orac seviri

Updated Feb 10, 2023
Python

pansism / lsalst-to-netcdf4

Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.

remote-sensing netcdf4 lst land-surface-temperature thermal-remote-sensing landsaf seviri lsalst

Updated Feb 5, 2020
Python

eds-book-gallery / bc30df18-fce2-42fa-aade-1ce5b7f3ca3c

Exploring the SEVIRI Level 1.5 dataset

exploration wildfires seviri environmental-data-science

Updated Mar 11, 2024
Jupyter Notebook

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