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Software . 2023
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Claim

Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Sep 2023Publisher:Zenodo
Authors: Mifdal, Jamila; Carmo, Raquel; This EDS book notebook contributors;

doi: 10.5281/zenodo.8310968 , 10.5281/zenodo.10798332 , 10.5281/zenodo.10808251 , 10.5281/zenodo.10808173

Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book

Abstract

Notebook developed to demonstrate the use of deep neural networks for the detection of floating objects on Sentinel-2 data.

If you use this software, please cite it using the metadata from this file.

Keywords

Deep learning, FOS: Earth and related environmental sciences, Oceanography, Environmental Data Science, Modelling

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    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).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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