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Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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Poster eindworkshop GEO.INFORMED: Use case Waterdetectie

descriptionPublicationkeyboard_double_arrow_right Conference object 20 Sep 2024Publisher:Zenodo
Authors: Landuyt, Lisa; Van Achteren, Tanja;

doi: 10.5281/zenodo.18837697 , 10.5281/zenodo.18837696

Poster eindworkshop GEO.INFORMED: Use case Waterdetectie

Abstract

The GEO.INFORMED project (a collaboration between KU Leuven, Digitaal Vlaanderen, INBO, and VITO) aimed to bridge the gap between academic innovations in Deep Learning and the practical needs of Flemish policy-makers. By utilizing Sentinel-2 satellite data, various methodologies were developed for large-scale environmental monitoring. This poster provides an overview of the methodology, technical results, and the developed web applications (prototypes) for the Water Detection use case.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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