Remote sensing of seagrass leaf area index and species: The capability of a model inversion method assessed by sensitivity analysis and hyperspectral data of Florida Bay

Frontiers in Marine Science

Volumn 4, Issue NOV, 2017, Pages

  Hedley, John D ^a   Russell, Brandon J ^b   Randolph, Kaylan ^b   Pérez Castro, Miguel á ^c   Vásquez Elizondo, Román M ^c   Enríquez, Susana ^c   Dierssen, Heidi M ^b  

^a Numerical Optics Ltd   (United Kingdom)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

Author keywords

Hyperspectral; Inversion; Leaf area index; Remote sensing; Seagrass; Species

Indexed keywords

EID: 85034025637     PISSN: None     EISSN: 22967745     Source Type: Journal    
DOI: 10.3389/fmars.2017.00362     Document Type: Article

References (57)

1. Beck, M. W., Heck, Jr. K. L., Able, K. W., Childers, D. L., Eggleston, D. B., Gillanders, B. M., et al. (2001). The identification, conservation, and management of estuarine and marine nurseries for fish and invertebrates. Bioscience 51, 633-641. doi: 10.1641/0006-3568(2001)051[0633:TICAMO]2.0.CO;2
2. Botha, E. J., Brando, V. E., Anstee, J. M., Dekker, A. G., and Sagar, S. (2013). Increased spectral resolution enhances coral detection under varying water conditions. Remote Sens. Environ. 131, 247-261. doi: 10.1016/j.rse.2012.12.021
3. Brando, V. E., Anstee, J. M., Wettle, M., Dekker, A. G., Phinn, S. R., and Roelfsema, C. (2009). A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data. Remote Sens. Environ. 2009, 755-770. doi: 10.1016/j.rse.2008.12.003
4. Cebrián, J., Enríquez, S., Fortes, M., Agawin, N., Vermaat, J. E., and Duarte, C. M. (1999). Epiphyte accrual on Posidonia oceanica (L.) delile leaves: implications for light absorption. Bot. Mar. 42, 123-128. doi: 10.1515/BOT.1999.015
5. Collier, C. J., Lavery, P. S., Masini, R. J., and Ralph, P. J. (2007). Morphological, growth and meadow characteristics of the seagrass Posidonia sinuosa along a depth-related gradient of light availability. Mar. Ecol. Prog. Ser. 337, 103-115. doi: 10.3354/meps337103
6. Corlett, H., and Jones, B. (2007). Epiphyte communities on Thalassia testudinum from Grand Cayman, British West Indies: their composition, structure, and contribution to lagoonal sediments. Sediment. Geol. 194, 245-262. doi: 10.1016/j.sedgeo.2006.06.010
7. Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., et al. (1997). The value of the world's ecosystem services and natural capital. Nature 387, 253-260. doi: 10.1038/387253a0
8. Dekker, A. G., Phinn, S. R., Anstee, J., Bissett, P., Brando, V. E., Casey, B., et al. (2011). Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments. Limnol. Oceanogr. Methods 9, 396-425. doi: 10.4319/lom.2011.9.396
9. Dierssen, H. M., Chlus, A., and Russsell, B. (2015). Hyperspectral discrimination of floating mats of seagrass wrack and the macroalgae Sargassum in coastal waters of greater Florida bay using airborne remote sensing. Remote Sens. Environ. 167, 247-258. doi: 10.1016/j.rse.2015.01.027
10. Dierssen, H. M., Zimmerman, R. C., Drake, L. A., and Burdige, D. (2010). Benthic ecology from space: optics and net primary production in seagrass and benthic algae across the Great Bahama Bank. Mar. Ecol. Prog. Ser. 411, 1-15. doi: 10.3354/meps08665
11. Eiseman N. J. (1980). An Illustrated Guide to the Sea Grasses of the Indian River Region of Florida. Technical Report No. 31.HBOITR#31, Harbor Branch Foundation Inc
12. Enríquez, S. (2005). Light absorption efficiency and the package effect in the leaves of the seagrass Thalassia testudinum. Mar. Ecol. Prog. Ser. 289, 141-150. doi: 10.3354/meps289141
13. Enríquez, S., and Pantoja-Reyes, N. I. (2005). Form-function analysis of the effect of canopy morphology on leaf self-shading in the seagrass Thalassia testudinum. Oecologia 145, 235-243. doi: 10.1007/s00442-005-0111-7
14. Enríquez, S., and Schubert, N. (2014). Direct contribution of the seagrass Thalassia testudinum to lime mud production. Nat. Commun. 5:4835. doi: 10.1038/ncomms4835
15. Fonesca, M. S., and Cahalan, J. A. (1992). A preliminary evaluation of wave attenuation by four species of seagrass. Estuar. Coast. Shelf Sci. 35, 565-576. doi: 10.1016/S0272-7714(05)80039-3
16. Fyfe, S. K. (2003). Spatial and temporal variation in spectral reflectance: are seagrass species spectrally distinct? Limnol. Oceanogr. 48, 464-479. doi: 10.4319/lo.2003.48.1_part_2.0464
17. Gao, B.-C., and Davis, C. O. (1997). 'Development of a line-by-line-based atmosphere removal algorithm for airborne and spaceborne imaging spectrometers,' in Optical Science, Engineering and Instrumentation'97 (San Diego, CA: International Society for Optics and Photonics), 132-141
18. Garcia, R. A., McKinna, L. I. W., Hedley, J. D., and Fearns, P. R. C. S. (2014). Improving the optimization solution for a semi-analytical shallow water inversion model in the presence of spectrally correlated noise. Limnol. Oceanoogr. Methods 12, 651-669. doi: 10.4319/lom.2014.12.651
19. Gobert, S., Sartoretto, S., Rico-Raimodino, V., Andral, B., Chery, A., Lejeune, P., et al. (2009). Assessment of the ecological status of Mediterranean French coastal waters as required by the Water Framework Directive using the Posidonia oceanica Rapid Easy Index: PREI. Mar. Pollut. Bull. 11, 1727-1733. doi: 10.1016/j.marpolbul.2009.06.012
20. Goodman, J. A., Lee, Z. P., and Ustin, S. L. (2008). Influence of atmospheric and sea-surface corrections on retrieval of bottom depth and reflectance using a semi-analytic model: a case study in Kaneohe Bay, Hawaii. Appl. Opt. 47, F1-F11. doi: 10.1364/AO.47.0000F1
21. Green, E. P., and Short, F. T. (2003). World Atlas of Seagrasses. Berkeley, CA: University of California Press
22. Hedley, J. (2008). A three-dimensional radiative transfer model for shallow water environments. Opt. Exp. 16, 21887-21902. doi: 10.1364/OE.16.021887
23. Hedley, J., and Enríquez, S. (2010). Optical properties of canopies of the tropical seagrass Thalassia testudinum estimated by a three-dimensional radiative transfer model. Limnol. Oceanogr. 55, 1537-1550. doi: 10.4319/lo.2010.55.4.1537
24. Hedley, J., Roelfsema, C., and Phinn, S. R. (2009). Efficient radiative transfer model inversion for remote sensing applications. Remote Sens. Environ. 113, 2527-2532. doi: 10.1016/j.rse.2009.07.008
25. Hedley, J. D., McMahon, K., and Fearns, P. (2014). Seagrass canopy photosynthetic response is a function of canopy density and light environment: a model for Amphibolis griffithii. PLoS ONE 9:e111454. doi: 10.1371/journal.pone.0111454
26. Hedley, J. D., Roelfsema, C., Koetz, B., and Phinn, S. (2012a). Capability of the Sentinel 2 mission for tropical coral reef mapping and coral bleaching detection. Remote Sens. Environ. 120, 145-155. doi: 10.1016/j.rse.2011.06.028
27. Hedley, J. D., Roelfsema, C., Phinn, S., and Mumby, P. J. (2012b). Environmental and sensor limitations in optical remote sensing of coral reefs: implications for monitoring and sensor design. Remote Sens. 4, 271-302. doi: 10.3390/rs4010271
28. Hedley, J. D., Russell, B., Randolph, K., and Dierssen, H. (2015). A physics-based method for the remote sensing of seagasses. Remote Sens. Environ. 174, 134-147. doi: 10.1016/j.rse.2015.12.001
29. Hochberg, E. J., and Atkinson, M. J. (2003). Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra. Remote Sens. Environ. 85, 174-189. doi: 10.1016/S0034-4257(02)00202-X
30. Jay, S., and Guillaume, M. (2016). Regularized estimation of bathymetry and water quality using hyperspectral remote sensing. Int. J. Remote Sens. 32, 2-27. doi: 10.1080/01431161.2015.1125551
31. Jeffery, S. W., Mantoura, R. F. C., and Wright, S. W. (1997). Phytoplankton Pigments in Oceanography: Quidelines to Modern Methods. Paris: UNESCO
32. Kay, S., Hedley, J. D., and Lavender, S. (2009). Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths. Remote Sens. 1, 697-730. doi: 10.3390/rs1040697
33. Knudby, A., and Nordlund, L. (2011). Remote sensing of seagrasses in a patchy multi-species environment. Int. J. Remote Sens. 32, 2227-2244. doi: 10.1080/01431161003692057
34. Knyazikhin, Y., Martonchik, J. V., Diner, D. J., Myneni, R. B., Verstraete, M., Pinty, B., et al. (1998). Estimation of vegetation leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere-corrected MISR data. J. Geophys. Res. 103, 32239-32256. doi: 10.1029/98JD02461
35. Lee, Z. P., Carder, K. L., Mobley, C. D., Steward, R. G., and Patch, J. S. (1998). Hyperspectral remote sensing for shallow waters. I. A semi-analytical model. Appl. Opt. 37, 6329-6338. doi: 10.1364/AO.37.006329
36. Lee, Z. P., Carder, K. L., Mobley, C. D., Steward, R. G., and Patch, J. S. (1999). Hyperspectral remote sensing for shallow waters, 2. Deriving bottom depths and water properties by optimization. Appl. Opt. 38, 3831-3843. doi: 10.1364/AO.38.003831
37. Lubin, D., Li, W., Dustan, P., Mazel, C. H., and Stamnes, K. (2001). Spectral signatures of coral reefs: features from space. Remote Sens. Environ. 75, 127-137. doi: 10.1016/S0034-4257(00)00161-9
38. Lüning, K., and Dring, M. J. (1985). Action spectra and spectral quantum yield in marine macroalgae with thin and thick thalli. Mar. Biol. 87, 119-129. doi: 10.1007/BF00539419
39. Mayer, B. A., and Kylling, A. (2005). The libRadtran software package for radiative transfer calculations-description and examples of use. Atmos. Chem. Phys. 5, 1855-1877. doi: 10.5194/acp-5-1855-2005
40. Medina-Gómez, I., Madden, C. J., Herrera-Silveira, J., and Kjerfve, B. (2016). Response of Thalassia testudinum morphometry and distribution to environmental drivers in a pristine tropical lagoon. PLoS ONE 11:e0164014. doi: 10.1371/journal.pone.0164014
41. Mobley, C. D., Sundman, L. K., Davis, C., Bowles, J. H., Downes, T. V., Leathers, R. A., et al. (2005). Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables. Appl. Opt. 44, 3576-3592. doi: 10.1364/AO.44.003576
42. Mouroulis, P., Van Gorp, B., Green, R. O., Dierssen, H., Wilson, D. W., Eastwood, M., et al. (2014). The Portable Remote Imaging Spectrometer (PRISM) coastal ocean sensor: design, characteristics and first flight results. Appl. Opt. 53, 1363-1380. doi: 10.1364/AO.53.001363
43. Mumby, P. J., Green, E. P., Edwards, A. J., and Clark, C. D. (1997). Measurement of seagrass standing crop using satellite and digital airborne remote sensing. Mar. Ecol. Prog. Ser. 159, 51-60. doi: 10.3354/meps159051
44. Mumby, P. J., Hedley, J. D., Chisholm, J. R. M., Clark, C. D., Ripley, H., and Jaubert, J. (2004). The cover of living and dead corals from airborne remote sensing. Coral Reefs 23, 171-183. doi: 10.1007/s00338-004-0382-1
45. Nagelkerken, I., Roberts, C. M., van der Velde, G., Dorenbosch, M., van Riel, M. C., Cocheret de la Morinière, E., et al. (2002). How important are mangroves and seagrass beds for coral-reef fish? The nursery hypothesis tested on an island scale. Mar. Ecol. Prog. Ser. 244, 299-305. doi: 10.3354/meps244299
46. Olesen, B., Enriquez, S., Duarte, C. M., and Sand-Jensen, K. (2002). Depth-acclimation of photosynthesis, morphology and demography of Posidonia oceanica and Cymodocea nodosa in the Spanish Mediterranean Sea. Mar. Ecol. Prog. Ser. 236, 89-97. doi: 10.3354/meps236089
47. Phinn, S. R., Roelfsema, C. M., Dekker, A., Brando, V., and Anstee, J. (2008). Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia). Remote Sens. Environ. 112, 3413-3425. doi: 10.1016/j.rse.2007.09.017
48. Ramsar Convention Secretariat (2013). The Ramsar Convention Manual: A Guide to the Convention on Wetlands (Ramsar, Iran, 1971), 6th Edn. Gland: Ramsar Convention Secretariat
49. Runcie, M., and Durako, M. J. (2004). Among-shoot variability and leaf-spe-cific absorptance characteristics affect diel estimates of in situ electron transport of Posidonia australis. Aquat. Bot. 80, 209-220. doi: 10.1016/j.aquabot.2004.08.001
50. Shibata, K. (1959). Spectrophotometry of translucence biological materials: opal glass transmission method. Method Biochem. Anal. 7, 77-109
51. Stoughton, M. A. (2009). A Bio-optical Model for Syringodium filiforme Canopies. Masters' Thesis, Old Dominion University
52. Thorhaug, A., Berlyn, G. P., and Richardson, A. D. (2007). Spectral reflectance of the seagrasses: Thalassia testudinum, Halodule wrightii, Syringodium filiforme and five marine algae. Int. J. Remote Sens. 28, 1487-1501. doi: 10.1080/01431160600954662
53. United Nations (1992). Convention on Biological Diversity, 1760 UNTS 79; 31 ILM 818
54. Vásquez-Elizondo, R. M., Legaria-Moreno, L., Pérez-Castro, M. A., Krämer, W. E., Scheufen, T., Iglesias-Prieto, R., et al. (2017). Absorptance determinations in multicellular tissues. Photosyn. Res. 132, 311-324. doi: 10.1007/s11120-017-0395-6
55. Verweij, M. C., Nagelkerken, I., Hans, I., Ruseler, S. M., and Mason, R. D. (2008). Seagrass nurseries contribute to coral reef fish populations. Limnol. Oceangr. 53, 1540-1547. doi: 10.4319/lo.2008.53.4.1540
56. Wolfe, M. A. (1978). Numerical Methods for Unconstrained Optimization. New York, NY: Van Nostrand Reinhold Company
57. Zimmerman, R. C. (2003). A biooptical model of irradiance distribution and photosynthesis in seagrass canopies. Limnol. Oceanogr. 48(1 Pt 2), 568-585. doi: 10.4319/lo.2003.48.1_part_2.0568