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X-WR-CALNAME:eo science for society
X-ORIGINAL-URL:https://eo4society.esa.int
X-WR-CALDESC:Events for eo science for society
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TZID:Europe/Helsinki
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DTSTART:20240331T010000
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DTSTART;TZID=Europe/Helsinki:20241111T080000
DTEND;TZID=Europe/Helsinki:20241202T170000
DTSTAMP:20260520T092453
CREATED:20241017T063517Z
LAST-MODIFIED:20241017T063517Z
UID:26567-1731312000-1733158800@eo4society.esa.int
SUMMARY:EO AFRICA Online Course: Cloud Computing and algorithms for EO analyses
DESCRIPTION:This course introduces participants to Cloud Computing and its usage for Earth Observation (EO) data analyses. It starts with big geospatial data concepts and extends to Cloud Computing as one of the solutions for solving the problems of big EO data. \nThe EOAFRICA Facility Innovation Lab will be introduced as an example of a cloud computing platform for working with EO data. We will cover Jupyter Notebooks and JupyterLab as the proper solution for developing analytical procedures accompanied with documentation on cloud computing platforms. \nThe course focuses on some of the Python libraries to develop programs that handle and analyze EO data. We will explain how participants can programmatically access different EO datasets using online catalogue services and utilize the data in their algorithms. Particularly\, we explain the key features and recent developments of openEO platform for EO data analyses. \nParticipants apply the knowledge and skills gained on a final project using EO data available on the Innovation Lab. \nThis course will provide participants with: \n\nAn understanding of Cloud Computing and its benefits for EO (Earth Observation) analysis.\nA comparison of various cloud computing platforms.\nHands-on experience with the Innovation Lab\, the cloud computing platform offered by the EO AFRICA R&D Facility.\nHands-on experience with key Python libraries for EO data processing.\nThe ability to implement processing workflows through interactive Jupyter Notebooks on the Innovation Lab.\nKnowledge on how to load and process EO data from DIAS platforms.\nThe capability to load and process EO data using Python libraries.\nHands-on experience in implementing Python-based workflows on openEO platform.\n\nOnly applicants working for an African-based organization are eligible. \nApplication Deadline: November 1\, 2024 \n  \n
URL:https://eo4society.esa.int/event/eo-africa-online-course-cloud-computing-and-algorithms-for-eo-analyses/
CATEGORIES:Training/Education
ATTACH;FMTTYPE=image/png:https://eo4society.esa.int/wp-content/uploads/2024/10/Cloud2024.png
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