This repository hosts the Jupyter notebooks developed for the lecture on 'Analysis of Big Earth Data with Jupyter notebooks' during the OpenGeoHub Summer School 2020.
Growing volumes of Big Earth Data force us to change the way how we access and process large volumes of geospatial data. New (cloud-based) data systems are being developed, each offering different functionalities for users.
This lecture is split in two parts:
-
(Cloud-based) data access systems
This part will highlight five data access systems that allow you to access, download or process large volumes of Copernicus data related to climate and atmosphere. For each data system, an example is given how data can be retrieved. Data access systems that will be covered: -
Case study: Analysis of Covid-19 with Sentinel-5P data
This example showcases a case study analysing daily Sentinel-5P data from 2019 and 2020 with Jupyter notebooks and the Python library xarray in order to analyse possible Covid-19 impacts in 2020.
This lecture has the following outline:
-
02 - Copernicus Climate Data Store / Copernicus Atmosphere Data Store
-
03 - WEkEO - Copernicus Data and Information Access Service (DIAS)
