
Dr. S.L.M. (Stef) Lhermitte
Dr. S.L.M. (Stef) Lhermitte
Profile
Biography
Stef Lhermitte is a remote sensing scientist with specific interest in the use of multi-source remote sensing and land surface modelling to assess cryosphere, atmosphere and ecosystem dynamics. Since 2016 he is assistant professor Geoscience & Remote Sensing at TUDelft, after obtaining a PhD in bioscience engineering at KULeuven, Belgium, and several international post-docs positions (CEAZA, KNMI, KULeuven), where he worked on broad range of remote sensing technologies in a variety of applications ranging from cryospheric and atmospheric sciences to ecology and hydrology. Now he focuses on the development of innovative remote sensing methods for assessing land-atmosphere interactions in order to assess the effect of climate (change) on the cryosphere, ecosystem dynamics, the hydrological cycle, sea level rise, etc. and their feedbacks on (future) climate.
Expertise
The
earthmapps.io team under supervision of Stef Lhermitte, focuses on the use of multi-source satellite imagery to assess land-atmosphere interactions. Our research aims at developing innovative remote sensing methods for quantifying the effect of climate (change) on snow/ice, vegetation dynamics, etc. and determine their (climate) feedbacks. We work on big data solutions and machine learning techniques to bridge the gap between remote sensing technology and its (scientific) applications.
Technologically we work on the interface between multi-source satellite imagery, radiative transfer models, land-surface models (e.g. snowmodels) and climate models. Within this framework we aim at developing and integrating innovative methodologies to assess the Earth's surface properties, mainly snow/ice and vegetation related, and understand their complex spatio-temporal response to climate. These methodologies range from improved data processing and data machine learning, to big data solutions and time series analysis (e.g. tipping points)
Publications
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2022
A leading-edge-based method for correction of slope-induced errors in ice-sheet heights derived from radar altimetry
W. Li / C. Slobbe / S. Lhermitte
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2022
Atmospheric Triggers of the Brunt Ice Shelf Calving in February 2021
Diana Francis / Ricardo Fonseca / Kyle S. Mattingly / Oliver J. Marsh / Stef Lhermitte / Charfeddine Cherif
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2022
Ice-Dynamical Glacier Evolution Modeling—A Review
H. Zekollari / M. Huss / D. Farinotti / S. Lhermitte
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2022
North Atlantic Cooling is Slowing Down Mass Loss of Icelandic Glaciers
Brice Noël / Guðfinna Aðalgeirsdóttir / Finnur Pálsson / Bert Wouters / Stef Lhermitte / Jan M. Haacker / Michiel R. van den Broeke
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2022
Unexplored Antarctic meteorite collection sites revealed through machine learning
Tollenaar Veronica / H. Zekollari / S.L.M. Lhermitte / D.M.J. Tax / Vinciane Debaille / Steven Goderis / Philippe Claeys / Frank Pattyn
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Courses 2022
- Earth Observation
- Bouwplaats 2
- Remote Sensing and Big Data
- Programmeren 4
- Klimaatverandering en…
- Earth Observation B-module
- Climate and Weather B-module
- Cryosphere: Remote Sensing…
- Cryosphere: Remote Sensing…
- Simulation and visualization
- Climate Change: Science and…
- Climate Change and Dynamic…
- Geo-Data and Geo-Informatics
Courses 2021
Media
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2022-05-21
CHECK - Ja, momenteel ligt er evenveel ijs op de Noordpool als in 1989, trend is wel al decennialang dalend
Appeared in: VRTNWS
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2022-01-22
Kunstmatige intelligentie maakt schatkaart voor meteorieten op Antarctica
Appeared in: Signs of the Times
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2022-02-03
‘Een slapende reus die wakker wordt’: de ‘doemdag’-gletsjer op Antarctica is wankeler dan ooit
Appeared in: DeMorgen
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2022-02-02
Algoritme voorspelt locatie van meteorieten
Appeared in: Delta
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2022-01-31
Een meteorieten schatkaart voor Antarctica
Appeared in: Innovation Origin