Geospatial Intelligence (10 ECTs)
Geospatial Intelligence is a course to offer the students with knowledge on the state-of-the-art Artificial Intelligence (AI) algorithms such as neural networks, SVM, random forest and more sophisticated deep learning models such as convolution neural network (CNN), recurrent neural net (RNN), long-short time memory. The application of these algorithms and models for geospatial tasks such as land cover classification, regression modelling, hazards prediction using machine learning. The course trains the learners in open science and towards integrated solutions of data science and Geographic Information Systems (GIS) such as using the QGIS with Python programming for three examples of land cover classification by machine learning, landslides susceptibility mapping and object detection using deep learning models.
Earth Observation (10 ECTs)
This course is about the advances in Earth Observation (EO) over the last few years. The objective of this course is to explore the major trends in the collection, storage, distribution and analysis of remote sensing data. The data sources introduced in the course include satellites, ground sensors, and unmanned aerial vehicles (UAVs). The European Copernicus Programme is the world’s largest free and open monitoring system for environmental and security purposes. It is cited throughout the course as an example of the technological frontier, presented together with a commercial case study. Cloud-based access, archiving and processing technologies are introduced and discussed and basic terminology like DaaS, SaaS and PaaS is explained in the specific context of EO. The advent of AI represents the dawn of a new era in data analysis. AI for EO provides additional analysis tools beyond physical algorithms. AI makes it possible to work on extremely big data volumes and combine very different data types such as images and social media data.
Digital Twins Earth (5 ECTs)
The course will equip students with basic knowledge and skill on Digital Twins theories and technological frameworks and will enable them to make use of Digital Twins for a wide range of applications, including but not limited to environmental analysis and prediction, and practical decision-making support. The course will be designed based on practical examples in the EU countries, Vietnam and beyond
Geospatial Web Application (5 ECTs)
Geospatial Web Application course provides students with basic to professional skills to map and analyse objects and phenomena on the Earth’s surface through Web applications. The course first introduces the concept of spatial data and skills that can handle the data. Several spatial data formats and standards. Then, geo-database concepts are brought in this course, for instance, PostgreSQL and PostGIS. GeoServer and MapServer are opensource servers that are used to build geospatial web applications and they are considered as target technologies in the course. The applicability of this course covers a wide range of purposes, including urban planning, hazard mapping, etc. This course focuses on how geospatial web applications can be created, and how to prepare spatial data and use some relevant geospatial APIs. Besides, students will be well-trained to build web applications by popular web technologies, for example, HTML, CSS and JavaScript.