GIMA MSc Research Topics
Global production, transportation, and consumption of oil can cause inevitable spills into the environment (typically from pipelines, oil wells, and storage facilities) cont
More and more cities are developing digital twins of their crucial public infrastructures.
Green spaces are fundamental for the well-being of individuals and communities as they provide areas for recreation, which is essential for the quality of life in cities.
The decisions made on the spatial configurations and distributions in the built environments (urban or rural developments) directly affect the environment as well as the interests of various stakeh
The Antarctic ice sheet covers almost the whole area of the Antarctic continent.
Artificial intelligence (AI) for urban development is growing rapidly.
Interest in the formal representation of citizen science comes from portals, platforms, and catalogues of citizen science projects; scientists using citizen science data for their research; and fun
The climate in cities and metropolitan areas (i.e., urban climate) is often different from the climate in the surrounding rural areas due to the presence of buildings, pavement, a
To model air pollution in urban environments while accounting for urban forms using convolutional neural networks (CNN) or Vision Transformers (ViT), open access earth observation
Deep Neural Networks (DNN) is considered as a panacea for different problems in several application areas. But what about spatial modeling?
In recent years, the Greater Horn of Africa has suffered from prolonged droughts, associated with forced migration and food and water security issues.
Data (of any kind) relating to geographic entities such as municipalities, provinces or countries (which may be available for different moments in time), can be represented through maps, but also t
The digital twin (DT) (smart city/3D modelling) topic currently attracts the attention and interest of many cities, authorities, industrial and research organizations at national, European and inte
Earth Observation data is increasingly important for how cities function and are accessible to inhabitants.
Origin-Destination (OD) flow maps are a popular topic in contemporary cartographic and GIS research because they may show interesting spatio-temporal patterns, but are difficult to render legibly.
The so-called Right to Light in Great Britain, the European standard EN 17037 “Daylight in Buildings”, and similar design codes or standards of good practice provide recommendations for ensuring th
Individuals and the organisations in which they work need to cooperate in projects and research to withstand an increasing competition.
In the realm of artificial intelligence (AI), the advancement of large language models (LLM) like GPT-4, the base model of ChatGPT, has revolutionized natural language processing.
The digital twin (DT) (smart city/3D modelling) topic currently attracts the attention and interest of many cities, authorities, industrial and research organizations at national, European and inte
Impervious surfaces are the Earth’s surfaces covered with mainly anthropogenic and artificial structures, such as built-up areas, roads and streets, and parking lots.
A workflow is considered to be a combination of data and (software) operations.
This project will have the student build multi-globe visualizations in one or more mediums: on desktop computer screens, in virtual reality or augmented reality.
As a result of hardware miniaturization and ubiquitous internet access, there is a wealth of user- and sensor-generated geographic content available, from social media activity to private weather s
Crop mapping plays an important role in agronomic planning and management both for farmers and policymakers. Satellite remote sensing sensors have become efficient tools for mapping croplands.
LINK TO RESEARCH PROJECTS
The MSc topics link to two ongoing larger research projects that allow being part of international research teams - both projects just started:
Mapping the presence or abundance of an animal or plant species is a non-trivial challenge. It often involves elaborate field surveys with strict data collection protocols and usually deep underst
Objective
To develop a deep learning model to estimate the timing of phenological events over large area
Human onchocerciasis (river blindness) is part of the so-called Neglected Tropical Diseases (NTDs) that jointly affect more than one billion people living in impoverished communit
Advances in AI enable new approaches to solve existing problems, but they also create new challenges especially concerning the veracity and validity of digital content.
Optimal performance of computations is one important promise that databases make to their user community.
In cities, temperatures are often higher than in the surrounding areas and can also vary locally.
As a result of hardware miniaturization and ubiquitous internet access, there is a wealth of user- and sensor-generated geographic content available, from social media activity to private weather s
New and affordable sensors (e.g., Arduino Nano 33 BLE Sense, Sensebox) have greatly increased the potential to collect finer-grained environmental information, especially on topics impacting on hum
ITC has been supporting UN-Habitat, the United Nations organization for urban development, since 2011 with the development and implementation of a regional urban planning approach
The accurate prediction of crop yields is a critical element in ensuring global food security, managing agricultural markets and supporting the decision-making processes of farmers and
Geo-referenced time series are data describing the time-changing behavior of one or more attributes at fixed locations and consistent time intervals [1].
Although large language models (LLM) have been around for a while, the public release of ChatGPT demonstrated a quantum leap in the abilities of these models to respond to natural
Interactive computational notebooks are browser-based tools that support shared workflows, coding, data, and visualisations.
To develop a model to estimate the timing of phenological events over large areas from time series of earth observation data using vision transformers, a fierce alternative to tra
Water level in lakes and rivers is a critical parameter to monitor for water managers. It captures the state of surface waters, and, if placed strategically, can be used in e.g.