Alternative spatially enhanced integrative techniques for mapping seagrass in Florida's marine ecosystem

International Journal of Remote Sensing

Volumn 34, Issue 4, 2013, Pages 1248-1264

  Baumstark, Rene ^a,b   Dixon, Barnali ^b   Carlson, Paul ^a   Palandro, David ^a,c   Kolasa, Keith ^d  

^a FISH AND WILDLIFE RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

^d Southwest Florida Water Management District   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; AQUATIC ECOSYSTEMS; COST BENEFIT ANALYSIS; COST EFFECTIVENESS; COSTS; IMAGE SEGMENTATION; MAPS; PHOTOINTERPRETATION; PHOTOMAPPING; PLANTS (BOTANY); SATELLITE IMAGERY;

AERIAL PHOTO INTERPRETATION; COASTAL MARINE ECOSYSTEMS; IKONOS SATELLITE IMAGE; IMAGE PROCESSING TECHNIQUE; PIXEL CLASSIFICATION; QUANTITATIVE TECHNIQUES; SEGMENTATION TECHNIQUES; WATER COLUMN CORRECTION;

IMAGE ENHANCEMENT;

ACCURACY ASSESSMENT; IKONOS; IMAGE CLASSIFICATION; IMAGE PROCESSING; MAPPING METHOD; MARINE ECOSYSTEM; MONITORING SYSTEM; PIXEL; QUANTITATIVE ANALYSIS; SATELLITE DATA; SATELLITE IMAGERY; SEAGRASS; SEGMENTATION; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION;

FLORIDA [UNITED STATES]; UNITED STATES;

EID: 84867605388     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.721941     Document Type: Article

References (61)

1. Avery, T. A. and Berlin, G. L. 1992. Fundamentals of Remote Sensing and Air Photo Interpretation, Upper Saddle River, NJ: Prentice Hall.
2. Avineon. 2010. Seagrass Indian River Lagoon Florida 2009. http://atoll.floridamarine.org/Data/metadata/SDE_Current/seagrass_sjrwmd_2009_poly.htm (http://atoll.floridamarine.org/Data/metadata/SDE_Current/seagrass_sjrwmd_2009_poly.htm) (Accessed: June 2012).
3. Avineon. 2008. Seagrass Springs Coast Florida 2007. Accessed June 2012 http://atoll.floridamarine.org/Data/Metadata/SDE_Current/seagrass_springscoast_07_poly.htm (http://atoll.floridamarine.org/Data/Metadata/SDE_Current/seagrass_springscoast_07_poly.htm)
4. Bie, S. W. and Beckett, P. H. T. 1973. Comparison of Four Independent Soil Surveys by Air-Photo Interpretation, Paphos Area (Cyrus). Photogrammetria, 29: 189-202.
5. Blaschke, T. 2010. Object Based Image Analysis for Remote Sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65: 2-16. doi:10.1016/j.isprsjprs.2009.06.004
6. Cho, H. J., Kirui, P. and Natarajan, H. 2008. Test of Multi-Spectral Vegetation Index for Floating and Canopy-Forming Submerged Vegetation. International Journal of Environmental Research and Public Health, 5: 477-83.
7. Concheda, G., Durieux, L. and Mayaux, P. 2008. An Object-Based Method for Mapping and Change Analysis in Mangrove Ecosystems. ISPRS Journal of Photogrammetry & Remote Sensing, 63: 578-89.
8. Costa, B. M., Bauer, L. J., Battista, T. A., Mueller, P. W. and Monaco, M. E. 2009. Moderate-Depth Benthic Habitats of St. John, U.S. Virgin Islands, 57Silver Spring, MD: NOAA/NCCOS Center for Coastal Monitoring and Assessment. NOAA Technical Memorandum NOS NCCOS 105
9. Dekker, A. G., Brando, V. E. and Anstee, J. 2005. Retrospective Seagrass Change Detection in a Shallow Coastal Tidal Australian Lake. Remote Sensing of Environment, 97: 415-33.
10. Dierssen, H., Zimmerman, R. C., Leathers, R. A., Downes, T. A. and Davis, C. O. 2003. Ocean Color Remote Sensing of Seagrass and Bathymetry in the Bahamas Banks by High-Resolution Airborne Imagery. Limnology and Oceanography, 48: 444-55.
11. Drake, S. 1996. Visual Interpretation of Vegetation Classes from Airborne Videography: An Evaluation of Observer Proficiency with Minimal Training. Photogrammetric Engineering and Remote Sensing, 62: 969-78.
12. Eurimage. 2011. Price List. http://www.eurimage.com/products/pdf/prices.pdf (http://www.eurimage.com/products/pdf/prices.pdf) (Accessed: August 2012).
13. Florida Department of Transportation Surveying and Mapping Office. 1999. Florida Land Use, Land Cover Classification System. 3rd ed. http://www.dot.state.fl.us/surveyingandmapping/Manuals/fluccmanual.pdf (http://www.dot.state.fl.us/surveyingandmapping/Manuals/fluccmanual.pdf) (Accessed: December 2010).
14. Florida Fish and Wildlife Conservation Commission. 2006. Aerial Photography Western Everglades Florida 2006. http://atoll.floridamarine.org/Data/metadata/imagery_western_everglades2006.htm (http://atoll.floridamarine.org/Data/metadata/imagery_western_everglades2006.htm) (Accessed: June 2012).
15. Florida Fish and Wildlife Conservation Commission. 2005. Benthic Habitats Florida Bay 2004. http://atoll.floridamarine.org/Data/Metadata/SDE_Current/benthic_flbay_2004_poly.htm (http://atoll.floridamarine.org/Data/Metadata/SDE_Current/benthic_flbay_2004_poly.htm) (Accessed: June 2012).
16. Florida Fish and Wildlife Conservation Commission. 2010. The Economic Impact of Saltwater Fishing in Florida. http://myfwc.com/conservation/value/saltwater-fishing/ (http://myfwc.com/conservation/value/saltwater-fishing/) (Accessed: December 2010).
17. Fornes, A., Basterretxea, G., Orfila, A., Jordi, A., Alvarez, A. and Tintore, J. 2006. Mapping Posidonia Oceanica from IKONOS. ISPRS Journal of Photogrammetry & Remote Sensing, 60: 315-22.
18. Green, P. E., Mumby, P. J., Edwards, A. J. and Clark, C. D. 2000. Remote Sensing Handbook for Tropical Coastal Management, Paris: UNESCO.
19. Gullstrom, M., Lunden, B., Bodin, M., Kangwe, J., Ohman, M., Mtolera, M. and Björk, M. 2006. Assessment of Changes in the Seagrass-Dominated Submerged Vegetation of Tropical Chwaka Bay (Zanzibar) Using Satellite Remote Sensing. Estuarine, Coastal and Shelf Science, 67: 399-408.
20. Jensen, J. R. 2000. Remote Sensing and the Environment, Upper Saddle River, NJ: Prentice-Hall.
21. Kettig, R. L. and Landgrebe, D. A. 1976. Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects. IEEE Transactions on Geoscience Electronics, 14: 19-26.
22. Knochenmus, L. A. and Yobbi, D. K. 2001. Hydrology of the Coastal Springs Ground-Water Basin and Adjacent Parts of Pasco, Hernando, and Citrus Counties, Florida: United States Geological Survey.
23. Knudby, A. and Nordlund, L. 2011. Remote Sensing of Seagrasses in a Patchy Multi-Species Environment. International Journal of Remote Sensing, 32: 2227-44.
24. Kolasa, K., Baumstark, R. and Carlson, P. 2011. Springs Coast Remote Sensing Pilot Project, FWC Agreement Number 09166, Final Report, Unpublished.
25. Kressler, F. P., Steinnocher, K. and Kim, Y. S. July 2005. "Enhanced Semi-Automatic Image Classification of High-Resolution Data." Paper presented at the Geoscience and Remote Sensing Symposium July, 25-29. Seoul, Korea
26. Land Info Worldwide Mapping, LLC. 2012. Ikonos High-Resolution Satellite Imagery. http://www.landinfo.com/Ikonos.htm/ (http://www.landinfo.com/Ikonos.htm/) (Accessed: August 2012).
27. Larkum, A. W. D., Orth, R. J. and Duarte, C. M. 2006. Seagrasses: Biology, Ecology, and Conservation, Dordrecht: Springer.
28. Lim, A., Hedley, J. D., LeDrewa, E., Mumby, P. J. and Roelfsema, C. 2009. The Effects of Ecologically Determined Spatial Complexity on the Classification Accuracy of Simulated Coral Reef Images. Remote Sensing of Environment, 113: 965-78.
29. Louchard, E. M., Reid, R. P. and Stephens, F. C. 2003. Optical Remote Sensing of Benthic Habitats and Bathymetry in Coastal Environments at Lee Stocking Island, Bahamas: A Comparative Spectral Classification Approach. Limnology and Oceanography, 48: 511-21.
30. Lyzenga, D. R. 1978. Passive Remote Sensing Techniques for Mapping Water Depth and Bottom Features. Applied Optics, 17: 379-83.
31. Lyzenga, D. R. 1981. Remote Sensing of Bottom Reflectance and Water Attenuation Parameters in Shallow Water Using Aircraft and Landsat Data. International Journal of Remote Sensing, 2: 71-82.
32. Maritorena, S., Morel, A. and Gentili, B. 1994. Diffuse Reflectance of Oceanic Shallow Waters: Influence of the Water Depth and Bottom Albedo. Limnology and Oceanography, 39: 1689-703.
33. Meehan, A. J., Williams, R. J. and Watford, F. A. 2005. Detecting Trends in Seagrass Abundance Using Aerial Photograph Interpretation: Problems Arising with the Evolution of Mapping Methods. Estuaries and Coasts, 28: 462-72.
34. Meinel, G. and Neubert, M. 2004. A Comparison of Segmentation Programs for High Resolution Remote Sensing Data. International Archives of the ISPRS, 35: 1097-105.
35. Mishra, D. R., Narumalani, S., Rundquist, D. and Lawson, M. 2005. High-Resolution Ocean Color Remote Sensing of Benthic Habitats: A Case Study at the Roatan Island, Honduras. IEEE Transactions on Geoscience and Remote Sensing, 43: 1592-604.
36. Mumby, P. J., Clark, C. D., Green, E. P. and Edwards, A. J. 1997a. Benefits of Water Column Correction and Contextual Editing for Mapping Coral Reefs. International Journal of Remote Sensing, 19: 203-10.
37. Mumby, P. J. and Edwards, A. J. 2002. Mapping Marine Environments with IKONOS Imagery: Enhanced Spatial Resolution Can Deliver Greater Thematic Accuracy. Remote Sensing of Environment, 82: 248-57.
38. Mumby, P. J., Green, E. P., Clark, C. D. and Edwards, A. J. 1998. Digital Analysis of Multispectral Airborne Imagery of Coral Reefs. Coral Reefs, 17: 59-69.
39. Mumby, P. J., Green, E. P. and Edwards, A. J. 1997b. Measurement of Seagrass Standing Crop Using Satellite and Digital Airborne Remote Sensing. Marine Ecology Progress Series, 159: 51-60.
40. Mumby, P. J., Green, E. P., Edwards, A. J. and Clark, C. D. 1999. The Cost-Effectiveness of Remote Sensing for Tropical Coastal Resources Assessment and Management. Journal of Environmental Management, 55: 157-66.
41. National Park Service, and Florida Fish and Wildlife Conservation Commission. 2012. Implementing the Dry Tortugas National Park Research Natural Area Science Plan. http://www.nps.gov/ever/naturescience/upload/DRTORNA5YrFINALComplete04092012LoRes.pdf (http://www.nps.gov/ever/naturescience/upload/DRTORNA5YrFINALComplete04092012LoRes.pdf) (Accessed: June 2012).
42. Palandro, D., Hu, C., Andrefouet, S., üller-Karger, F. E. M and Kramer, P. A. 2004. Synoptic Water Clarity Assessment in the Florida Keys Using Diffuse Attenuation Coefficient Estimated from Landsat Imagery. Hydrobiologia, 530/531: 489-93.
43. Pasqualini, V., Pergent-Martini, C., Pergent, G., Agreil, M., Skoufas, G., Sourbes, L. and Tsirika, and A. 2005. Use of SPOT 5 for Mapping Seagrasses: An Application to Posidonia Oceanica. Remote Sensing of Environment, 94: 39-45.
44. Peneva, E., Griffith, J. A. and Carter, G. A. 2008. Seagrass Mapping in the Northern Gulf of Mexico Using Airborne Hyperspectral Imagery: A Comparison of Classification Methods. Journal of Coastal Research, 24: 850-6.
45. Phinn, S., Roelfsema, C., 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 Sensing of Environment, 112: 3413-25.
46. Phinn, S. R., Roelfsema, C. M. and Mumby, P. J. 2012. Multi-Scale, Object-Based Image Analysis for Mapping Geomorphic and Ecological Zones on Coral Reefs. International Journal of Remote Sensing, 33: 3768-97. doi:10.1080/01431161.2011.633122
47. PhotoScience. 2007. Grid Analysis Optimization and Application for Photo Interpretation of 2005 Biscayne Bay Aerial Imagery, CERP Monitoring and Assessment Plan Components: Southern Estuaries Module, Final Report, Unpublished.
48. PhotoScience. 2006. Seagrass Southwest Florida 2006. http://atoll.floridamarine.org/Data/metadata/SDE_Archive/seagrass_swfwmd_2006_poly.htm (http://atoll.floridamarine.org/Data/metadata/SDE_Archive/seagrass_swfwmd_2006_poly.htm) (Accessed: June 2012).
49. PhotoScience. 2008. Seagrass Southwest Florida 2008. http://atoll.floridamarine.org/Data/Metadata/SDE_Archive/seagrass_swfwmd_2008_poly_H.htm (http://atoll.floridamarine.org/Data/Metadata/SDE_Archive/seagrass_swfwmd_2008_poly_H.htm) (Accessed: June 2012).
50. Reinhold, A. and Wolff, G. 1969. Methods of Representing the Results of Photo Interpretation. Photogrammetria, 25: 201-7.
51. Schweizer, D., Armstrong, R. A. and Posada, J. 2005. Remote Sensing Characterization of Benthic Habitats and Submerged Vegetation Biomass in Los Roques Archipelago National Park, Venezuela. International Journal of Remote Sensing, 26: 2657-67.
52. Swain, P. H. and Davis, S. M. 1978. Remote Sensing: The Quantitative Approach, New York: McGraw Hill Book Company.
53. Telespazio. 2009. GeoEye-1 & IKONOS Introductory Price List. http://www.telespazio.it/ge_docs/ik-ge_price_list.pdf (http://www.telespazio.it/ge_docs/ik-ge_price_list.pdf) (Accessed: December 2010).
54. Wabnitz, C. C., Andréfouët, S., Torres-Pulliza, D., üller-Karger, F. E. M and Kramer, P. A. 2008. Regional-Scale Seagrass Habitat Mapping in the Wider Caribbean Region Using Landsat Sensors. Applications to Conservation and Ecology Remote Sensing of Environment, 112: 3455-67.
55. Wang, C. and Philpot, W. D. 2007. Using Airborne Bathymetric Lidar to Detect Bottom Type Variation in Shallow Waters. Remote Sensing of Environment, 106: 123-35.
56. Wang, L., Sousa, W. P. and Gong, P. 2004. Integration of Object-Based and Pixel-Based Classification for Mapping Mangroves with IKONOS Imagery. International Journal of Remote Sensing, 25(24): 5655-68.
57. Wuest, B. and Zhang, Y. 2009. Region Based Segmentation of QuickBird Multispectral Imagery through Band Ratios and Fuzzy Comparison ISPRS. Journal of Photogrammetry and Remote Sensing, 64: 55-64.
58. Yang, C. Y., Yang, D. T., Cao, W. X., Zhao, J., Wang, G. F. and Sun, Z. H. 2010. Analysis of Seagrass Reflectivity by Using a Water Column Correction Algorithm. International Journal of Remote Sensing, 31: 4595-608.
59. Yarbro, L. A., and P. R. Carlson. 2011. Seagrass Integrated Mapping and Monitoring for the State of Florida Mapping and Monitoring Report No. 1. http://myfwc.com/media/1591147/fullsimm1.pdf (http://myfwc.com/media/1591147/fullsimm1.pdf) (Accessed: June 2012).
60. Zainal, A., Dalby, D. and Robinson, I. 1993. Monitoring Marine Ecological Changes on the East Coast of Bahrain with Landsat TM. Photogrammetric Engineering and Remote Sensing, 59: 415-21.
61. Zhong, C., Zhongmin, Z., DongMei, Y. and Renxi, C. July 25-29 2005. "Multi-Scale Segmentation of the High Resolution Remote Sensing Image." Paper presented at the Geoscience and Remote Sensing Symposium July 25-29, Seoul, Korea