Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 9)


Coral Reef Remote Sensing Geographic Information System Advance Very High Resolution Radiometer Advance Very High Resolution Radiometer 
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7. References

  1. Andréfouët, S., F. Müller-Karger, E. Hochberg, C. Hu and K. Carder. 2001. Change detection in shallow coral reef environments using Landsat 7 ETM+ data. Remote Sensing of Environment, 78:50-162. Berich, R.H., and M. B. Smith. 2000. Miscellaneous Paper, Purdum and Jeschke, Consulting Engineers, Baltimore, MD.Google Scholar
  2. Bogan, A.E. 1993. Freshwater bivalve extinctions. American Zoologist, 33:599-600.Google Scholar
  3. Botsford, L.W., J.C. Castilla and C.H. Peterson. 1997. The management of fisheries and marine ecosystems. Science, 277:509-515.CrossRefGoogle Scholar
  4. Burke, L., Y. Kura, K. Kassem, C. Revenga, M. Spalding and D. McAllister. 2000. Pilot analysis of global ecosystems (PAGE): Coastal ecosystems, World Resources Institute, Washington, D.C.Google Scholar
  5. Capolsini, P., S. Andréfouët, C. Rion and C. Payri. 2003. A comparison of Landsat ETM+, SPOT HRV, Ikonos, ASTER, and airborne MASTER data for coral reef habitat mapping in South Pacific islands. Canadian Journal Remote Sensing, 29:187-200.Google Scholar
  6. Carpenter, S., T. Frost, L. Persson, M. Power and D. Soto. 1996. Freshwater ecosystems: linkages of complexity and processes. Chapter 12 In: H. A. Mooney (Ed.), Functional Roles of Biodiversity: A Global Perspective. John Wiley and Sons, New York, 493 pp.Google Scholar
  7. Castilla, J.C. 1999. Coastal marine communities: trends and perspectives from human exclusion experiments. Trends in Ecology and Evolution, 14:280-283.CrossRefGoogle Scholar
  8. Chang, K. 2002. Introduction to Geographic Information Systems. McGraw-Hill Press, 386 pp.Google Scholar
  9. Chapman, J.D. and W.F. Loftus. 1986. American white pelicans feeding in freshwater marshes in Everglades National Park, Florida. Florida Field Naturalist, 15:20-21.Google Scholar
  10. Chomko, R.M., H. R. Gordon, S. Maritorena and D. A. Siegel. 2003. Simultaneous retrieval of oceanic and atmospheric parameters for ocean color imagery by spectral optimization: a validation. Remote Sensing of Environment, 84:208-220.CrossRefGoogle Scholar
  11. Christie, P. and A. White. 1997. Trends in development of coastal area management in tropical countries: from central to community orientation. Coastal Management, 25:155-181.CrossRefGoogle Scholar
  12. Crossley, G.J. 1999. A Guide to Critical Bird Habitat in Pennsylvania, Pennsylvania Audubon Society, Important Bird Areas Program, 219 pp.Google Scholar
  13. Chu, D.A., Y. J. Kaufman, G. Zibordi, J. D. Chern, J. Mao, C. Li and B. Holben. 2003. Global Monitoring of Air Pollution over Land from EOS-Terra MODIS. Journal of Geophysical Research, 108: 4661-4678.CrossRefGoogle Scholar
  14. Congalton, R. 2001. Accuracy assessment and validation of remotely sensed and other spatial information. The International Journal of Wildland Fire, 10:321-328.CrossRefGoogle Scholar
  15. Congalton, R. and K. Green. 1999. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. CRC/Lewis Press, 137 pp.Google Scholar
  16. Conghe, S., C.E. Woodcock and K.C . Sero. 2001. Classification and change detection using Landsat TM data: when and how to correct atmospheric effects. Remote Sensing of Environment, 75:230-244.CrossRefGoogle Scholar
  17. Courtney, C. and A. White. 2000. Integrated coastal management in the Philippines: testing new paradigms. Coastal Management, 28:39-53. 1993. High Performance Computing for Land Cover Dynamics. UMIACS/University of Maryland. R. Townshend and R. Sohlberg. 1998. Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers. International Journal of Remote Sensing, 19:3141-3168.Google Scholar
  18. Deichmann, U., D. Balk and G. Yetman. 2001. Transforming Population Data for Interdisciplinary Usages: From census to grid. CIESIN. 20 pp.Google Scholar
  19. DeMers, M. N. 2002. GIS Modeling in Raster. John Wiley and Sons Inc., 208 pp.Google Scholar
  20. Dobson, J. E., E.A. Bright, P.R. Coleman, R. C. Durfee and B. A.Worley. 2000. LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering & Remote Sensing, 66:849-57.Google Scholar
  21. Dustan, P., E. Dobson and G. Nelson. 2001. Landsat Thematic Mapper: Detection of Shifts in Community Composition of Coral Reefs. Conservation Biology, 15:1523-1739.CrossRefGoogle Scholar
  22. Duarte, C.M. 1996. Annual Report of the Project Responses to Coastal Ecosystems to Deforestation-derived siltation in Southeast Asia (CERDS). European Union, Brussels.Google Scholar
  23. Edinger, E.N., J. Jompa, G.V. Limmon, W. Widjatmoro and M.J. Risk. 1998. Reef degradation and coral biodiversity in Indonesia: effects of land-based pollution, destructive fishing practices and changes over time. Marine Pollution Bulletin, 36:617-630.CrossRefGoogle Scholar
  24. Ehler, C. and D. Basta. 1993. Integrated Management of Coastal Areas and Marine Sanctuaries. Oceanus, 36:379-387.Google Scholar
  25. El-Asmar, H.M. and K. White. 2002. Changes in coastal sediment transport processes due to construction of New Damietta Harbour, Nile Delta, Egypt. Coastal Engineering, 46:127-138.CrossRefGoogle Scholar
  26. Erkkila, A. and R. Kalliola. 2004. Patterns and dynamics of coastal waters in multi-temporal satellite images: support to water quality monitoring in the Archipelago Sea, Finland. Estuarine, Coastal and Shelf Science, 60:165-177.CrossRefGoogle Scholar
  27. Evans, T.P. and E.F. Moran. 2002. Spatial integration of social and biophysical factors related to landcover change. In: W. Lutz, A. Prskawetz, and W.C. Sanderson (Eds.), Population and Development Review, Supplement to Vol. 28.Google Scholar
  28. Frazier, P. and K.J. Page. 2000. Water Body Detection and Delineation with Landsat TM Data. Photogrammetric Engineering and Remote Sensing, 66:1461-1469.Google Scholar
  29. Geoghegan, J., L. Pritchard, Y. Ogneva-Himmelberger, R.R. Chowdhury, S. Sanderson and B. Turner. 1998. Socializing the Pixel and Pixelizing the Social in Land-Use and Land-Cover-Change. p. 51-69. In: D.Liverman, E. Moran, R. Rindfuss, and P. Stern (Eds.), People and Pixels, Washington, DC: National Academy Press, 256 pp.Google Scholar
  30. Gottfried K. 2003. Geoinformation, Remote Sensing, Photogrammetry and Geographic Information Systems. Taylor and Francis, 272 pp.Google Scholar
  31. Hochberg, E. and M. Atkinson M. 2003. Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra. Remote Sensing of Environment, 85:174-189.CrossRefGoogle Scholar
  32. Igbokwe, J. 1999. Geometrical processing of multi-sensoral multi-temporal satellite images for change detection studies. International Journal of Remote Sensing, 20:1141-1148.CrossRefGoogle Scholar
  33. Justice, C., Starr, J., Wickland, D., Privette, J. and T. Suttles. 1997. Science Working Group meeting for the AM Platform Land Validation Coordination meeting.Google Scholar
  34. Kearney, M.S., A. S. Rogers, J. Townshend, W. Lawrence, K. Dorn, K. Eldred, F. Lindsay, E. Rizzo and D. Stutzer. 1995. Developing a model for determining coastal marsh “health.” Proceedings of the Third Thematic Conference on Remote Sensing for Marine and Coastal Environments. 1:263-272.Google Scholar
  35. Keiner, L. and X-H,Yan. 1998. A neural network model for estimating sea surface chlorophyll and sediments from Thematic Mapper imagery. Remote Sensing of Environment, 66:153-165.Google Scholar
  36. Kepner, W. and T. Edmonds, Remote Sensing and GIS for Decision Analysis in Public Resource Administration: A Case Study of 25 years of Landscape Change in a Southwestern Watershed, Office of Research and Development, National Exposure Research Laboratory, P.O. Box 93478 Las Vegas NV 89193 Ti: EPA/600/R-02/039 June 2002.Google Scholar
  37. Konecny, G.2003. Geoinformation, Remote Sensing, Photogrammetry and Geographic Information Systems, Taylor and Francis, New York, 280 pp.Google Scholar
  38. Lavery, P.S., C.B. Pattiaratchi, A. Wyllie, and P. Hick. 1993. Water quality monitoring in estuarine waters using the Landsat Thematic Mapper. Remote Sensing Environment, 46(3): 268-280.CrossRefGoogle Scholar
  39. Liand, S. and J. Townshend. 1997. Angular signatures of NOAA/NASA Pathfinder AHVRR Land data and applications to land cover identification, IGARSS, Singapore.Google Scholar
  40. Lillesand, T.M., R.W. Kiefer and J.W. Chipman. 2003. Remote Sensing and Image Interpretation 5th edition. Wiley Publishing, 784 pp.Google Scholar
  41. Longley P. A. and M. Batty. 1996. Spatial Analysis: Modelling in a GIS Environment, John Wiley and Sons Inc., 400 pp.Google Scholar
  42. Lunetta, R. 1998. Applications, Project Formulation and Analytical Approach In: and C. Elvidge and R. Lunetta [eds.], Remote Sensing Change Detection - Environmental Monitoring Methods and Applications, Ann Arbor Press, Michigan, 350 pp.Google Scholar
  43. Lunetta, R., R. Congalton, L. Fenstermaker, J. Jensen, K. McGwire, and L. Tinney. 1991. Remote Sensing and Geographic Information System Data Integration: Error Sources and Research Issues. Photogrammetric Engineering and Remote Sensing, 57:677-687.Google Scholar
  44. Maynard, N.G. 2003. Satellites, Settlements, and Human Health In Ridd, M.[ed.], Remote Sensing of Human Settlements. American Society of Photogrammetry and Remote Sensing, 3rd Edition - 2003 Manual of Remote Sensing, 869 pp.Google Scholar
  45. Miller, R. L. and B.A. McKee. 2004. Using MODIS Terra 250m imagery to map concentrations of total suspended matter in coastal waters. Remote Sensing of the Environment, 93:259-266.CrossRefGoogle Scholar
  46. Minnett, P.J. 2003. Radiometric measurements of the sea-surface skin temperature for the validation of measurements from satellites - the competing roles of the diurnal thermocline and the cool skin. International Journal of Remote Sensing, 24(24): 5033-5047.CrossRefGoogle Scholar
  47. Mumby, P., E. Green, A. Edwards and C. Clark. 1999. The cost-effectiveness of remote sensing for tropical coastal resources assessment and management. Journal of Environmental Management, 55:157-166.CrossRefGoogle Scholar
  48. Mumby, P. and A.J. Edwards. 2002. Mapping marine environments with IKONOS imagery: enhanced spatial resolution does deliver greater thematic accuracy. Remote Sensing of Environment, 82:248-257.CrossRefGoogle Scholar
  49. Osborne, L.L. and D.A. Kovacic. 1993. Riparian vegetated buffer strips in water-quality restoration and stream management. Freshwater Biology, 29: 243-258.CrossRefGoogle Scholar
  50. Revenga, C., Brunner, J., Henninger, N., Payne, R. and K. Kassem. Pilot Analysis of Global Ecosystems: Freshwater, 2000, ISBN: 1-56973-460-7.Google Scholar
  51. Rizzo, E., A. Rogers, M. Kearney, J. Townshend and W. Lawrence. 1996. Changes in Blackwater Marsh, Maryland 1938-1993 as determined by aerial photography and Thematic Mapper data. In: 1996 ASPRS/ACSM Annual Convention and Exposition Technical Papers, Remote Sensing and Photogrammetry, 220-229.Google Scholar
  52. Rindfuss, R. and P. Stern. 1998. Linking Remote Sensing and Social Science: The Need and the Challenges. In: D. Liverman, E. Moran, R. Rindfuss, and P. Stern (Eds.), People and Pixels. Washington, DC: National Academy Press, 256 pp.Google Scholar
  53. Sasser, C. E., and J.G. Gosselink. 1984. Vegetation and primary production in a floating freshwater marsh in Louisiana. Aquatic Botany, 20: 245-255.CrossRefGoogle Scholar
  54. Space Science and Engineering Data Center (SSEC), University of Wisconsin-Madison Space Science and Engineering Center (SSEC), 2001, online publication:
  55. Stehman, S. 1999. Comparing thematic maps based on map value. International Journal of Remote Sensing, 20:2347-2366.CrossRefGoogle Scholar
  56. Sulong, I., H. Mohd-Lokman, K. Mohd-Tarmizi and A. Ismail. 2002. Mangrove Mapping Using Landsat Imagery and Aerial Photographs: Kemaman District, Terengganu, Malaysia. Environment, Development and Sustainability, 4:135-152.CrossRefGoogle Scholar
  57. Thomas A.C., D. Byrne and R. Weatherbee. 2002. Coastal sea surface temperature variability from Landsat infrared data. Remote Sensing of Environment, 81:262-272.CrossRefGoogle Scholar
  58. Townshend, J.1999. NASA Landsat Pathfinder Humid Tropical Deforestation Project, Geography Department, University of Maryland, College Park MD.Google Scholar
  59. Townshend et al., 2000. A Landcover Earth Science Information Partnership, Global Land Cover Facility, Proposal Type 2-ESIP, University of Maryland, College Park, Md.Google Scholar
  60. Van der Weide, J. 1993. A systems view of integrated coastal management. Ocean and Coastal Management, 21:129-148.CrossRefGoogle Scholar
  61. Walsh, S. J. and K. Crews-Meyer (Eds.)2002. Linking People, Place, and Policy: A GIScience Approach, Kluwer Academic Publishers, Boston, 262 pp.Google Scholar
  62. Wang Y., Y. Tian, Y. Zhang, N. El-Saleous, Y. Knyazikhin, E. Vermote and R. Myeni. 2001. Investigation of product accuracy as a function of input and model uncertainties: Case study with SeaWiFS and MODIS LAI/FPAR Algorithm. Remote Sensing of Environment, 78:296-311.CrossRefGoogle Scholar
  63. White, K. and H. M. El Asmar. 1999. Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta. Geomorphology, 29:93-105.CrossRefGoogle Scholar
  64. Yamano, H. and M. Tamura. 2004. Detection limits of coral reef bleaching by satellite remote sensing: simulation and data analysis. Remote Sensing of Environment, 90:86-103.CrossRefGoogle Scholar
  65. Zhou, X. and S. Li. 2003. Comparison between in situ and MODIS-derived spectral reflectances of snow and sea ice in the Amundsen sea, Antarctica . International Journal of Remote Sensing, 24:5011-5032.CrossRefGoogle Scholar
  66. Zhou, J., D.L. Civco and J.A. Silander. 1998. A wavelet transform method to merge Landsat TM and SPOT panchromatic data. International Journal of Remote Sensing, 19:743-757.CrossRefGoogle Scholar

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© Springer 2006

Authors and Affiliations

    • 1
  1. 1.Department of International RelationsFlorida International UniversityMiamiUSA

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