Stefanos Georganos: AI and Earth Observation
På RISE Learning Machines Seminar den 16 mars 2023 ger Stefanos Georganos, Karlstad University/KTH, sin presentation: AI and Earth Observation. Seminariet är på engelska.
– In this talk, the potential and challenges of harnessing the power of AI and Earth Observation tools and data to fill data gaps are discussed.
Abstract
The Global South includes some of the of the most rapid-growing urban regions in the world. This ongoing shift has dramatically affected their capacity to provide essential services for their residents, such as durable housing, employment and healthcare accessibility.
On the contrary, the proliferation of deprived urban areas, further marginalizing the urban poor has been an undisputed observation of the last years. It is therefore profound, that efforts to improve the quality of life of urban dwellers are needed. A starting point to do so, it to provide relevant authorities, stakeholders and organizations with useful socioeconomic, demographic and health indicators of the urban dwellers.
Nonetheless, in large parts of the Global South, this type of critical information is at best scarce and at worst non-existent and certainly not suited for sophisticated analyses. In this talk, the potential and challenges of harnessing the power of AI and Earth Observation tools and data to fill these data gaps are discussed. Various examples pertinent to poverty, population estimation, epidemiology and land use are demonstrated, and a vision on future directions is unraveled.
Om talaren
Stefanos is an Associate Professor in Geomatics at Karlstad University and a researcher with KTH, Royal Institute of Technology. He does research in quantitative human geography, remote sensing, spatial epidemiology, demography and machine learning.
He is particularly interested in the use of geo-information for helping address the UN Sustainable Development Goals, with a geographical interest in sub-Saharan African cities.
His latest research unravels the potential of machine and deep learnning and Earth Observation to detect, measure and characterize socio-economic inequalities in deprived urban areas in support of the most vulnerable populations. Stefanos is the co-Chair of the European’s Assosciation of Remote Sensing Laboratories Special Interest Group on Developing Countries. He has coordinated and managed large international consortia such as REACT (https://react.ulb.be/).