Record link: 
http://hdl.handle.net/20.500.12708/218893
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Title: 
Improving Global Primary Production Monitoring Through Microwave Remote Sensing in a Machine Learning Framework
en
Citation: 
Müller, M., Lezameta, R., Zotta, R.-M., Laluet, P., & Dorigo, W. A. (2025, June 25). Improving Global Primary Production Monitoring Through Microwave Remote Sensing in a Machine Learning Framework [Poster Presentation]. Living Planet Symposium (LPS 2025), Wien, Austria. http://hdl.handle.net/20.500.12708/218893
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Publication Type: 
Presentation - Poster Presentation
en
Language: 
English
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Authors: 
Müller, Moritz 
Lezameta, Raul 
Zotta, Ruxandra-Maria 
Laluet, Pierre 
Dorigo, Wouter Arnoud 
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Organisational Unit: 
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung 
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Date (published): 
25-Jun-2025
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Event name: 
Living Planet Symposium (LPS 2025) 
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Event date: 
23-Jun-2025 - 27-Jun-2025
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Event place: 
Wien, Austria
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Keywords: 
microwave remote sensing; machine learning
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Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 70%
1020 - Informatik: 15%
1054 - Physische Geographie: 15%
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