Projects
Urban land cover mapping based on medium spatial resolution multispectral satellite imagery KU Leuven
Global urbanization has been happening for decades and will continue in the future, converting substantial amounts of natural land cover types into urban surface types. This human-caused global land cover change has induced environmental issues that can affect the quality of urban life, such as heat waves and air pollution. Accordingly, preventing and regulating these urban environmental problems has become a common concern for scientists and ...
High spatial resolution satellite imagery for irrigation scheduling in hedgerow cropping systems KU Leuven
Over the last decades, the agricultural sector has shifted to produce more with less inputs. This has led to the development of precision horticulture, an information-based farm management concept that requires frequent monitoring of biophysical, structural and environmental variables at high spatial and temporal scales. In situ monitoring is however time consuming and labor intensive, hampering the number of samples and repetitions. ...
High-throughput field phenotyping using a drone with RGB imagery. Exploiting the spectral, spatial and temporal dimensions KU Leuven
Altered climatic conditions leading to more frequent and intense abiotic events (e.g. drought or heatwaves) and biotic stresses (pathogens and pests) are going to impact on our food system endangering the access to safe, nutritious and sufficient food. To mitigate the negative effects, the adaptation of crops to future climate has to go also hand in hand with an increase in global crop production in order to achieve the estimated demand for ...
Interpretation of mobile mapping data for the creation and update of spatial databases of the public domain KU Leuven
During a construction project on the public domain there are many different stakeholders who have to cooperate. To ensure this, a centralized reference database is needed. For this we have the GRB in Flanders, a spatial database which is used as reference for all project plans. Having such an important role, it is essential to keep the GRB up to date. The objective of this research project is to automatically create and update these spatial ...
A view from heaven. Exploring the potential of remote sensing techniques to study spatial patterns of monastic habitation on the East bank of the Nile in Middle Egypt (VIEWFROMHEAVEN). KU Leuven
Early Egyptian monasticism played a defining role in the establishment of monastic life in Europe, but our understanding of early monastic life in Egypt itself is incomplete. The crucial region of Middle Egypt has scarcely received scholarly attention. From AD 300-800, this area had a thriving Christian life and numerous monastic settlements. On the east bank of the Nile, monks settled mainly in pharaonic tombs and quarries in the chain of ...
Deep Learning image processing for crop management KU Leuven
Deep learning (DL) is a subfield of machine learning where algorithms are modeled to imitate human rationale. Among DL most important application areas are computer vision and natural language processing, impacting our everyday life when we access our phone through facial recognition authorization, interact with a companyās chatbot, or get support from a virtual assistant like Alexa. Two turning points in the technology era explain DL current ...
Mapping urban composition and green infrastructure using remote sensing in support of urban ecosystem service assessment KU Leuven
Urbanization presents one of the major challenges to humankind in the current century. Our cities are true drivers of global environmental change, but at the same time also represent the most susceptible areas to be suffering from the local impacts of these ongoing changes (e.g. through heat waves, flooding and air pollution). Sustainable urban management and development therefore focuses on safeguarding the local quality of life by reducing ...
Modeling vegetation dynamics driven by climate variability and land use changes in Rwanda KU Leuven
Tropical ecosystems are confronted with the impacts of climate change and increased climate variability. Therefore, mitigation and adaptation strategies are being developed to limit further exacerbation of climate change and to preserve the provision of ecosystem services to societies. Tropical forests are particularly vulnerable to climate variability, yet are also shaped by deforestation, fragmentation, degradation and restoration ...
Real-time multiway decoding of performed, observed and imagined movement electrocorticography supported by avatar-based user training KU Leuven
Brain-Computer Interfaces (BCIs) decode brain activity with the aim to establish a communication channel that does not rely on muscular control. BCIs usually rely on EEG signals acquired from the subject's scalp or on electrophysiological signals from brain implants. The latter yield a superior decoding performance, but as the implant damages the cortical tissue, long-term signal stability is a concern. EEG does not require surgery but the ...