2022
DOI: 10.1080/15481603.2022.2026641
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In situ hyperspectral characteristics and the discriminative ability of remote sensing to coral species in the South China Sea

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Cited by 13 publications
(4 citation statements)
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References 63 publications
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“…Huang et al (2015) suggested that the SCS hosts a richness of reef corals comparable to the Coral Triangle area. Four families of Scleractinia detected in this study were also reported previously (Rodriguez-Lanetty and Hoegh-Guldberg, 2002;Chen et al, 2019;Xu et al, 2019;Li et al, 2022;Zeng et al, 2022). Furthermore, rare species from Brachiopoda, Bryozoa, Nemertea, and Platyhelminthes were easily neglected through traditional methods, but were more easily detected by metabarcoding, suggesting high efficiency of this novel method.…”
supporting
confidence: 84%
“…Huang et al (2015) suggested that the SCS hosts a richness of reef corals comparable to the Coral Triangle area. Four families of Scleractinia detected in this study were also reported previously (Rodriguez-Lanetty and Hoegh-Guldberg, 2002;Chen et al, 2019;Xu et al, 2019;Li et al, 2022;Zeng et al, 2022). Furthermore, rare species from Brachiopoda, Bryozoa, Nemertea, and Platyhelminthes were easily neglected through traditional methods, but were more easily detected by metabarcoding, suggesting high efficiency of this novel method.…”
supporting
confidence: 84%
“…While we did not test the retrievability of coral symbiont chlorophyll concentrations at coarser spatial resolutions, we believe that controlling for inter-colony variability in sand and macroalgal cover does provide some leverage to focus spectroscopy on portions of the reef that are dominated by living corals. This may be translatable to satellite-based observations at coarser resolutions, such as 10-30 m, if similar methods that account for scale-dependent filtering can be applied, such as has been achieved by Zeng et al [53]. Future research will test this possibility.…”
Section: Discussionmentioning
confidence: 97%
“…It is important to note that the spectral data gathered can be used to accurately and automatically classify broad benthic types (coral, algae, sand), as previously outlined by [31,34]. Due to the extensive coverage provided by hyperspectral data, further refinement of the classifications will develop rapidly with return surveys [35]. However, while identification of coral species by spectral data alone is currently not possible, in future, a combination of enhanced spectral libraries and the use of other complementary metrics, such as photomosaics and 3D information machine learning algorithms, may achieve this goal.…”
Section: Discussionmentioning
confidence: 99%