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Estuaries and Coasts

, Volume 37, Issue 6, pp 1467–1489 | Cite as

Evaluating Light Availability, Seagrass Biomass, and Productivity Using Hyperspectral Airborne Remote Sensing in Saint Joseph’s Bay, Florida

  • Victoria J. HillEmail author
  • Richard C. Zimmerman
  • W. Paul Bissett
  • Heidi Dierssen
  • David D. R. Kohler
Article

Abstract

Seagrasses provide a number of critical ecosystem services, including habitat for numerous species, sediment stabilization, and shoreline protection. Ariel photography is a useful tool to estimate the areal extent of seagrasses, but recent innovations in radiometrically calibrated sensors and algorithm development have allowed identification of benthic types and retrieval of absolute density. This study demonstrates the quantitative ability of a high spatial resolution (1 m) airborne hyperspectral sensor (3.2 nm bandwidth) in the complex coastal waters of Saint Joseph’s Bay (SJB). Several benthic types were distinguished, including submerged and floating aquatic vegetation, benthic red algae, bare sand, and optically deep water. A total of 23.6 km2 of benthic vegetation was detected, indicating no dramatic change in vegetation area over the past 30 years. SJB supported high seagrass density at depths shallower than 2 m with an average leaf area index of 2.0 ± 0.6 m2 m−2. Annual seagrass production in the bay was 13,570 t C year−1 and represented 41 % of total marine primary production. The effects of coarser spatial resolution were investigated and found to reduce biomass retrievals, underestimate productivity, and alter patch size statistics. Although data requirements for this approach are considerable, water column optical modeling may reduce the in situ requirements and facilitate the transition of this technique to routine monitoring efforts. The ability to quantify not just areal extent but also productivity of a seagrass meadow in optically complex coastal waters can provide information on the capacity of these environments to support marine food webs.

Keywords

Remote sensing Seagrass Hyperspectral Spatial patterns Submarine landscape 

Notes

Acknowledgments

We thank D. Ruble, J. Cousins, M. Stoughton, C. Buonassissi, I. Nardello, J. Godfrey, and A. Branco for assistance in data collection. We also acknowledge the staff and facilities at the Preserve Center, St. Joseph’s Bay State Buffer and Aquatic Preserves, Office of Coastal and Aquatic Managed Areas and the crew at Daly’s Dock and Dive Centre, Port Saint Joe, FL. This work was supported by funding from NASA project NNG04GN84G and Florida DNR Coastal Aquatic Managed Areas.

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Copyright information

© Coastal and Estuarine Research Federation 2014

Authors and Affiliations

  • Victoria J. Hill
    • 1
    Email author
  • Richard C. Zimmerman
    • 1
  • W. Paul Bissett
    • 2
    • 3
  • Heidi Dierssen
    • 4
  • David D. R. Kohler
    • 2
    • 3
  1. 1.Department Ocean, Earth and Atmospheric SciencesOld Dominion UniversityNorfolkUSA
  2. 2.Florida Environmental Research InstituteTampaUSA
  3. 3.WeoGeo, Inc.PortlandUSA
  4. 4.Marine Sciences/Geography, Department of Marine SciencesUniversity of ConnecticutGrotonUSA

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