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Assessment of pixel-oriented k-NN machine learning algorithm performance for the interannual remote sensing monitoring of eelgrass beds at the mouth of the Romaine

Crossref DOI link: https://doi.org/10.1007/s10661-023-11468-3

Published Online: 2023-07-12

Published Print: 2023-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lemieux, P. https://orcid.org/0000-0003-4386-9913
Lalumière, C.

Fugaru, N.

Gilbert, J.-P.

Tremblay, A.
Funding

Funding for this research was provided by:

Hydro-Québec
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Text and Data Mining valid from 2023-07-12

Version of Record valid from 2023-07-12
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Article History

Received: 6 June 2022

Accepted: 1 June 2023

First Online: 12 July 2023

Declarations

:

: The authors, P. Lemieux, C. Lalumière and N. Fugaru, representing Englobe and Groupe Alphard, have received professional fees from Hydro-Québec as part of the drafting of this review article. All other authors declare no competing interests.

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