Assessing the potential for spectrally based remote sensing of salmon spawning locations

Harrison, Lee R.; Legleiter, Carl J.; Overstreet, Brandon T.; Bell, Tom W.; Hannon, John

doi:10.1002/rra.3690

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i

Assessing the potential for spectrally based remote sensing of salmon spawning locations

2020
By Harrison, Lee R. ; Legleiter, Carl J. ; Overstreet, Brandon T. ; ...
Source: River Research and Applications, 36(8), 1618-1632

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Details:

Journal Title:

River Research and Applications
Personal Author:

Harrison, Lee R. ; Legleiter, Carl J. ; Overstreet, Brandon T. ; Bell, Tom W. ; Hannon, John

Harrison, Lee R. ; Legleiter, Carl J. ; Overstreet, Brandon T. ; Bell, Tom W. ; Hannon, John Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center) Less -
Description:

Remote sensing tools are increasingly used for quantitative mapping of fluvial habi- tats, yet few techniques exist for continuous sampling of aquatic organisms, such as spawning salmonids. This study assessed the potential for spectrally based remote sensing of salmon spawning locations (i.e., redds) using data acquired from unmanned aircraft systems (UAS) along a large, gravel-bed river. We developed a novel, semi- automated approach for detecting salmon redds by applying machine learning classi-
Keywords:

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Environmental Chemistry General Environmental Science Water Science And Technology
Source:

River Research and Applications, 36(8), 1618-1632
DOI:

https://doi.org/10.1002/rra.3690
ISSN:

1535-1459;1535-1467;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Rights Statement:

This article is a U.S. Government work and is in the public domain in the USA.
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urn:sha256:6e20d5de5403c514ccb8f14200a7db6aa9463157592f723e5093feef7cd1f289
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https://repository.library.noaa.gov/view/noaa/53362/noaa_53362_DS1.pdf
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