Training workshop: Urban climate services in Africa
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May 2025
DIDAIhub: Introduction to AI
Introduction to AI offers a comprehensive journey into the world of AI, starting from its foundational concepts to its practical
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DIDAIhub: Cloud Computing
This course aims to enhance participants’ competencies in understanding cloud computing fundamentals, navigating major cloud providers, cloud storage management, ensuring
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DIDAIhub: Ecosystem services
By the end of this mini MOOC, student will understand the concept, value, and social and environmental significance of ecosystem
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DIDAIhub: Sustainable development
The student is able to comprehend information about sustainable development and has the ability to apply the concepts of sustainable development for
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DIDAIhub: Basic research information of climate change
This Mini-MOOC is relevant information for communicating with local and regional planners of civil servants and the general public as well
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DIDAIhub: Getting started with QGIS
QGIS is one of the most used desktop software for geospatial data management, analysis and visualisation. This entity provides the
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DIDAIhub: Field data collection with QField
The objective of this course is to learn the key elements on research and data collection planning. You will be
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DIDAIhub: Collect Earth Online (CEO) tool and survey design – basic step
Implementing land cover/land use (LCLU) classification based on Earth observation data and ML/AI classifiers needs a substantial amount of LCLU
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DIDAIhub: Satellite image classification using ML in Google Earth Engine
This course introduces students to the Google Earth Engine (GEE) cloud computing platform, focusing on accessing and preprocessing Earth Observation
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DIDAIhub: Land cover/land use change detection with Google Earth Engine
The goal of this nugget is to introduce you to different methods and techniques for detecting and analysing LCLU changes
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DIDAIhub: Citizen Science Data Quality Assessment for Earth Observation
This module introduces students to citizen science data for Earth Observation, focusing on handling crowdsourced land cover and land use
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DIDAIhub: SAR image analysis in GEE
Learning outcomes include understanding SAR remote sensing technology and using Sentinel 1 SAR images for built-up area mapping.
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DIDAIhub: Processing large raster images in GDAL
This mini-MOOC provides an overview of different phases of the data analysis pipeline using Python and its data analysis ecosystem
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DIDAIhub: Geospatial data management in postgres/postgis databases
This mini-MOOC focuses on competencies in adding, organizing, querying, retrieving, and combining data, and assessing data consistency with the help
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