Spatio-temporal trend analysis of gridded climate data using Python | Tartu Geo Code Meetup
Channel: Landscape Geoinformatics
Date: 2022-02-11

This webinar / live coding session took part as a Tartu Geo Code Meetup organized by the Landscape Geoinformatics Lab (Department of Geography of the University of Tartu) on the 27th April, 2021.

https://www.meetup.com/tartu-geo-code/events/277659688/

We have the pleasure to host PhD students from the Department of Geography of the University of Tartu again to show some live coding of satellite data processing with Python and Jupyter notebooks.

Please cite us if you refer to our materials:

Buo, I., Montibeller, B., Virro, H., Kmoch, A., & Uuemaa, E. (2021). Landscape Geoinformatics EGU 2021 workshop materials (Version 1.0.0) [Computer software]. https://doi.org/10.5281/zenodo.5876348

Github (try yourself): https://github.com/LandscapeGeoinformatics/EGU_2021_lgeo_workshops

During the workshop, the participants will learn how to do a simple workflow for data wrangling and perform trend analysis. Holger and Bruno also explain how to handle and apply different operations on raster data in Python, in particular with netCDF data and xarray. Some of the operations are raster values check (e.g. outliers and NA); create and apply functions and use conditional statements.

More about us:

https://landscape-geoinformatics.ut.ee
https://twitter.com/LGeoinformatics