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Identification of specific wavelength regions for separating optically similar signals of coral reef benthic compositions

Abstract

The major problem to be overcome in mapping of coral reef ecosystem using remote sensing imagery is the confusion arises between optically similar spectral characteristics of different end-members which are to be used as input for various classification techniques. This work attempts to study in detail the possibilities of identifying the specific wavelength regions for separating optically similar signals of coral reef benthic compositions based on two different hypotheses using derivative analysis. First hypothesis is 1st order derivative analysis can be used to separate optical signatures of different families of corals; and second hypothesis is 2nd order derivative analysis can be used to separate optical signatures of coral species among Acropora family. Results imply that, i) at 515 nm Acropora Muricata, at 585 nm Favia Speciosa & Porites Solida and at 635 nm dead staghorn coral exhibit a negative first order derivative may be the evident that these spectral windows can be helpful in discrimination of corals based on family-wise; ii) at 558 nm Acropora Digitfera, at 565 nm , at 582 nm Acropora Secale, at 595 nm Acropora Varibalis, and at 598 nm Acropora Muricata exhibit a positive second order derivative can be helpful in separating different species among the Acropora family.

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References

  1. Beck MW, Losada IJ, Menéndez P, Reguero BG, Díaz-Simal P, Fernández F (2018) The global flood protection savings provided by coral reefs. Nat Commun 9:2186

    Article  Google Scholar 

  2. Burke LK, Reytar MS, Spalding M (2011) Reefs at Risk Revisited. World Resources Institute, Washington, DC

    Google Scholar 

  3. Demetriades-Shah TH, Steven MD, Clark JA (1990) High resolution derivative spectra in remote sensing. Remote Sens Environ 33:55–64

    Article  Google Scholar 

  4. Hamylton S (2011) Estimating the coverage of coral reef benthic communities from airborne hyperspectral remote sensing data: multiple discriminant function analysis and linear spectral unmixing. Int J Remote Sens 32(24):9673–9690

    Article  Google Scholar 

  5. Hedley J, Mumby P (2002) Biological and remote sensing perspectives of pigmentation in coral reef organisms. Adv Mar Biol 43:2777

    Google Scholar 

  6. Hochberg E, Atkinson M (2000) Spectral discrimination of coral reef benthic communities. Coral Reefs 19:164–171

    Article  Google Scholar 

  7. Holden HE (1999) Hyperspectral identification of coral reef features. Int J Remote Sens 20:2545–2563

    Article  Google Scholar 

  8. Holden H, LeDrew E (1998a) The scientific issues surrounding remote detection of submerged coral ecosystems. Prog Phys Geogr 22:190

    Article  Google Scholar 

  9. Holden H, LeDrew E (1998b) Spectral discrimination of healthy and non-healthy corals based on cluster analysis, principal components analysis & derivative spectroscopy. Remote Sens Environ 65:217–224

    Article  Google Scholar 

  10. Hommersom A et al (2012) Intercomparison in the field between the new WISP-3 and other radiometers (TriOS Ramses, ASD FieldSpec & TACCS). J Appl Remote Sens 6:063615-1–063615-21

    Article  Google Scholar 

  11. Joyce, Phinn SR (2013) Spectral index development for mapping live coral cover. J Appl Remote Sens

  12. Kutser T, Jupp DLB (2006) On the possibility of mapping living corals to the species level based on their optical signatures. Estuar Coast Shelf Sci 3(4):607–614

    Article  Google Scholar 

  13. Kutser T, Dekker AG, Skirving W (2003) Modelling spectral discrimination of great barrier reef benthic communities by remote sensing instruments. Limnol Oceanogr 48:497–510

    Article  Google Scholar 

  14. Leiper IA, Phinn SR, Roelfsema CM, Joyce KE, Dekker AG (2014) Mapping coral reef benthos, substrates & bathymetry, using compact airborne spectrographic imager (CASI) data. Remote Sens 6(7):6423–6445

    Article  Google Scholar 

  15. Nimalan K, Thanikachalam M, Usha T (2020) Estimating the fractional abundance of coral reef benthic compositions using linear spectral unmixing. Int J Fish Aquat Stud 8(6):181–186

    Article  Google Scholar 

  16. Nimalan K, Thanikachalam M, Usha T (2021) Spectral characteristics of coral reef benthic compositions in gulf of Mannar. J Earth Syst Sci 130:58. https://doi.org/10.1007/s12040-021-01571-9

    Article  Google Scholar 

  17. Paul J, Ku'ulei R, Eric B, Jean K, Greta A, William S, Fred F (2015) Comparison of methods used to estimate coral cover in the Hawaiian Islands. Peer J:3

  18. Roelfsema C, Stuart P, Stacy J, James C, Simon A (2013) Mapping coral reefs at reef to reef-system scales, 10s-1000s km(2), using object-based image analysis. Int J Remote Sens 34(18):6367–6388

    Article  Google Scholar 

  19. Rongyong H, Yu K-F, Wang Y, Wang W, Lin M, Wang J (2018) Method to design a live coral cover sensitive index for multispectral satellite images. Opt Express 26:A374

    Article  Google Scholar 

  20. Rundquist DC, Han L, Schalles JF, Peake JS (1996) Remote measurement of algal chlorophyll in surface waters: the case for the first derivative of reflectance near 690 nm. Photogramm Eng Remote Sens 62:195–200

    Google Scholar 

  21. Spalding M, Burke L, Wood SA, Ashpole J, Hutchison J, Ermgassen P (2017) Mapping the global value and distribution of coral reef tourism. Mar Pol 82:104–113

    Article  Google Scholar 

  22. Talsky G (1994) Derivative spectrophotometry: low and high order

  23. Thanikachalam M, Nimalan K (2019) Analysis on variations in spectral reflectance characteristics of coral reef benthic compositions from gulf of Mannar Tamil Nadu India. Indian J Ecol 46(1):76–82

    Google Scholar 

  24. Torres-Pérez JL, Guild LS, Armstrong RA (2012) Hyperspectral distinction of two Caribbean shallow water corals based on their pigments and corresponding reflectance. Remote Sens 4:3813–3832

    Article  Google Scholar 

  25. Wilkinson C (2008) Status of coral reefs of the world, Australian Institute of Marine Science

  26. Zibordi G et al (2012) In situ determination of the remote sensing reflectance: an inter-comparison. Ocean Sci Discuss 9:787–833. https://doi.org/10.5194/osd-9-787-2012

    Article  Google Scholar 

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Correspondence to Kandasami Nimalan.

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Communicated by: H. Babaie

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Nimalan, K., Thanikachalam, M. & Usha, T. Identification of specific wavelength regions for separating optically similar signals of coral reef benthic compositions. Earth Sci Inform (2021). https://doi.org/10.1007/s12145-021-00699-y

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Keywords

  • Coral reefs
  • Derivative analysis
  • Similar signals
  • Wavelength regions