DIDAIhub: Introduction to AI
Introduction to AI offers a comprehensive journey into the world of AI, starting from its foundational concepts to its practical […]
DIDAIhub: Introduction to AI Read More »
Introduction to AI offers a comprehensive journey into the world of AI, starting from its foundational concepts to its practical […]
DIDAIhub: Introduction to AI Read More »
This course aims to enhance participants’ competencies in understanding cloud computing fundamentals, navigating major cloud providers, cloud storage management, ensuring
DIDAIhub: Cloud Computing Read More »
By the end of this mini MOOC, student will understand the concept, value, and social and environmental significance of ecosystem
DIDAIhub: Ecosystem services Read More »
The student is able to comprehend information about sustainable development and has the ability to apply the concepts of sustainable development for
DIDAIhub: Sustainable development Read More »
This Mini-MOOC is relevant information for communicating with local and regional planners of civil servants and the general public as well
DIDAIhub: Basic research information of climate change Read More »
QGIS is one of the most used desktop software for geospatial data management, analysis and visualisation. This entity provides the
DIDAIhub: Getting started with QGIS Read More »
The objective of this course is to learn the key elements on research and data collection planning. You will be
DIDAIhub: Field data collection with QField Read More »
Implementing land cover/land use (LCLU) classification based on Earth observation data and ML/AI classifiers needs a substantial amount of LCLU
DIDAIhub: Collect Earth Online (CEO) tool and survey design – basic step Read More »
The goal of this nugget is to introduce you to different methods and techniques for detecting and analysing LCLU changes
DIDAIhub: Land cover/land use change detection with Google Earth Engine Read More »
This module introduces students to citizen science data for Earth Observation, focusing on handling crowdsourced land cover and land use
DIDAIhub: Citizen Science Data Quality Assessment for Earth Observation Read More »
Learning outcomes include understanding SAR remote sensing technology and using Sentinel 1 SAR images for built-up area mapping.
DIDAIhub: SAR image analysis in GEE Read More »
This mini-MOOC provides an overview of different phases of the data analysis pipeline using Python and its data analysis ecosystem
DIDAIhub: Processing large raster images in GDAL Read More »
This mini-MOOC focuses on competencies in adding, organizing, querying, retrieving, and combining data, and assessing data consistency with the help
DIDAIhub: Geospatial data management in postgres/postgis databases Read More »
Classify multispectral satellite images available in different platforms and download and manage the data sets using different open-source tools. You
Resilience Academy: Classifying Sentinel 2 images in SNAP Read More »
Key steps of managing the data using the Sentinel Application Platform (SNAP) this includes installation of SNAP, use of different
Resilience Academy: Basic image processing methods with SNAP Read More »
Key concepts of environmental remote sensing and practical understanding of the importance of Earth observation in the identification, mapping, monitoring,
Resilience Academy: Multispectral satellite images in environmental remote sensing Read More »
On the basis of the practical lessons learned from Dar Ramani Huria this online course has been established. It includes
Community Urban Risk Mapping Read More »
Learn the principles of the analysis of geospatial data collected via participatory mapping.
Resilience Academy: Spatial analysis of PM data Read More »
You will learn the elements crucial for planning a participatory data collection campaign.
Resilience Academy: Participatory mapping process Read More »
You will learn the concepts and different participatory mapping tools and methods, which are applicable to local-level community participation, and
Resilience Academy: Introduction to participatory mapping Read More »
Principles of regional and urban climates, the mechanics of UHI, and know how to observe urban weather phenomena. You will
Resilience Academy: Urban climatology Read More »
Principles of anthropogenic climate forcing, the current drivers and processes of climate warming and its regional variation, plus the concepts
Resilience Academy: Humans as drivers of climate change Read More »
Principles of climate change, the major events in climate history and the key natural factors behind climatic variations.
Resilience Academy: Climate change Read More »
Basics of the climate system and its key processes at the planetary level and in East-Africa. You will also understand
Resilience Academy: Climate system Read More »
Learn to define the concept of open data, and how to discover and use it as a research resource. Learn
DIDAIhub: Principles of Open Data Read More »
This learning module introduces different location data collection methods using smartphone GPS. This is especially interesting and important since they
DIDAIhub: Location data collection using mobile devices Read More »
Understand the basics of geometric and statistical properties and nature of geospatial data. Learn the skills to operate common analysis
DIDAIhub: Geometries of geospatial data and basic statistics Read More »
You can build a story map rich with geomedia that reflects relevant aspects of an area (history, natural/cultural processes, sustainability
DIDAIhub: Story mapping Read More »
Create and use maps and visualize geospatial data for dissemination of your work. You are able to evaluate the quality
DIDAIhub: Visualization of geospatial data and map making Read More »
With this learning module, you are able to critically think about the designing and planning of interactive web maps. You
DIDAIhub: Working with interactive webmaps Read More »