Gyula Mate Kovács
Postdoc
Geography 2
Øster Voldgade 10
1350 København K
I am a postdoctoral researcher specializing in remote sensing-based global mapping and change detection of wetlands. My work aims to advance our understanding of natural and anthropogenic impacts on wetland ecosystems. Focused on innovative methods for diverse wetland applications, my approach involves integrating cutting-edge technologies, including cloud computing, state-of-the-art machine learning algorithms, deep learning classifiers, and data fusion techniques. By harnessing the power of artificial intelligence, I aim to provide accurate and comprehensive quantification of wetland ecosystem dynamics from local to global scale.
My research is funded by the Novo Nordisk Foundation through the Global Wetland Center.
ID: 247676606
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24
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Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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23
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Deep learning for mapping water bodies in the Sahel
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Published -
23
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Characterizing ecosystem change in wetlands using dense earth observation time series
Research output: Contribution to journal › Journal article › Research › peer-review
Published