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This workflow demonstrates the usage of EODIE, a toolkit to extract object based timeseries information from Earth Observation data.
EODIE is a toolkit to extract object based timeseries information from Earth Observation data.
The EODIE code can be found on Gitlab .
The goal of EODIE is to ease the extraction of time series information at object level. Today, vast amounts of Earth Observation data are available to the users via for example earth explorer ...
Abstract CWL Automatically generated from the Galaxy workflow file: GTN 'Pangeo 101 for everyone - Introduction to Xarray'.
In this tutorial, we analyze particle matter < 2.5 μm/m3 data from Copernicus Atmosphere Monitoring Service to understand Xarray Galaxy Tools:
- Understand how an Xarray dataset is organized;
- Get metadata from Xarray dataset such as variable names, units, coordinates (latitude, longitude, level), etc;
- Plot an Xarray dataset on a geographical map and learn to customize ...
This workflow extracts 5 different time periods e.g. January- June 2019, 2020 and 2021, July-December 2019 and 2020 over a single selected location. Then statistics (mean, minimum, maximum) are computed. The final products are maximum, minimum and mean.
This workflow is used to process timeseries from meteorological stations in Finland but can be applied to any timeseries according it follows the same format.
Take a temperature timeseries from any meteorological station. Input format is csv and it must be standardized with 6 columns:
- Year (ex: 2021)
- month (ex: 1)
- day (ex: 15)
- Time (ex: 16:56)
- Time zone (such as UTC)
- Air temperature (degC)