39
VI. REFFERENCES
Azkab,MH., 1999. Pedoman Invetarisasi Lamun. Oseana 1: 1-16. Bengen, DG., 2001. Synopsis of Coastal and Marine Ecosystem and Resources.
Center for Coastal and Marine Resources Study, Bogor Agricultural University IPB. 62pp.
Bortone SA., 2000 Seagrasses - monitoring, ecology, physiology and management.CRC Press. 318 pp.
Congalton R.G. 1991 - A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, vol. 37, pp. 35 -
46. Dekker, A.; Brando, V.; Anstee, J.; Fyfe, S.; Malthus T., and Karpouzli, E., 2006.
Remote sensing of seagrass ecosystems: use of spaceborne and airborne sensors. In: Larkum, A.W.D.; Orth, R.J., and Duarte, C.M. eds..
Seagrasses: Biology, Ecology and Conservation. Dordrecht, The Netherlands: Springer. pp 347–359
den Hartog C., 1970. The Seagrass of the world. North Holland Publishing Company. Amsterdam, London, p. 271.
Duarte CM., 2002 The future of seagrass meadows. Environmental Conservation 29: 192-206.
[EORC – JAXA] Earth Observation Research Center – Japan Aerospace Exploration Agency [Internet]. 2003. Available:
http:www.eorc.jaxa.jpALOSaboutavnir2.htm. Accessed July 2, 2008 Foody GM. 1999. Image Classification with a Neural Network: From Completely-
Crisp to Fully-Fuzzy Situations. In: Atkinson PM, Tate NJ, Editors. Advances in Remote Sensing and GIS Analysis. West Sussex: John Willey
Sons. Fox, Kevin L., Henning, Rhonda R., and Reed, Jonathan H. 1990. A Neural
Network Approach Towards Intrusion Detection. In Proceedings of the 13th National Computer Security Conference.
40 Frank, J. 1994. Artificial Intelligence and Intrusion Detection: Current and
Future Directions. In Proceedings of the 17th National Computer Security Conference.
Fu, Limin. 1994. Neural Network in Computer Intelligent, McGraw-Hill, Inc, New York
Fyfe SK, 2003. Spatial and temporal variation in spectral reflectance: Are seagrass species spectrally distinct? Limnology and. Oceanography, 481, part 2,
464–479 Hemminga MA, Duarte CM., 2000. Seagrass Ecology. Cambridge University
Press, Cambridge Hutomo M, Kiswara W, and Azkab, M H., 1988. The status of seagrass
ecosystems in Indonesia: resources, problems, research and management, Paper presented at SEAGRAM I, Manila l7~22 January 1998, 24 pp.
Janssen LLF, Huurneman GC 2001 Principle of Remote Sensing. ITC, Enschede J.A. Richards, 1999, Remote Sensing Digital Image Analysis, Springer-Verlag,
Berlin, p. 240 Kaul, M., R.L. Hill, and C. Walthall. 2005. Artificial neural networks for corn and
soybean yield prediction. Agric. Syst. 85:1–18 Kuriandewa, T.E. and I.H. Supriyadi. 2006. Seagrass mapping in East Bintan
coastal area, Riau Archipelago, Indonesia. Coastal Marine Science 30 1: 154-161
Kuriandewa, T. E., W. Kiswara, M. Hutomo and S. Soemadihardjo 2003. The seagrass of Indonesia. In: E. P.GREEN and F. T. SHORT eds..World
Atlas of Seagrass. University ofvCalifornia Press: 171-182. Lillesand, TM and Kiefer, RW. 1994. Remote Sensing and Image Interpretation.
Third Edition. John Wiley Sons, Inc, New York. Malthus TJ and Karpouzli E. 2003. Integrating field and high spatial resolution
satellite based methods for monitoring shallow submersed aquatic habitats in the Sound of Eriskay, Scotland, UK. Int J Remote Sensing 24: 2585–2593
McKenzie, L., Finkbeiner, M.A. and Kirkman, H. 2001 Seagrass Mapping Methods. Global Seagrass Research Methods. F. T. Short and R. G. Coles.
Amsterdam, Elsevier, pp. 101-122.
41 Mumby PJ and Edwards AJ 2002 Mapping marine environments with IKONOS
imagery: Enhanced spatial resolution can deliver greater thematic accuracy. Remote Sensing Environ 82: 248–257
Mumby PJ, Green EP, Edwards AJ, and Clark CD., 1999. The cost-effectiveness of remote sensing for tropical coastal resources assessment and
management. Journal of Environmental Management 55:157-166 Mumby PJ, Edwards AJ, Arias-Gonzalez JE, Lindeman KC, Blackwell PG, Gall
A, Gorczynska MI, Harborne AR, Pescod CL, Renken H, Wabnitz CCC, Llewellyn G.,2004. Mangroves enhance the biomass of coral reef fish
communities in the Caribbean. Nature 427:533-536. Pasqualini, V., Pergent-Martini, C., Clabaut, P., Pergent, G. 2004. Use of
SPOT 5 for mapping seagrasses: An application to Posidonia oceanica. Remote Sensing of Environment 94 2005 39–45
Petterson, D.W. 1996. Artificial Neural Network, Theory and Appications,Prentice Hall, New York
Phillips RC, McRoy CP., 1990 Seagrass research methods. Monographs on oceanographic methodology. UNESCO, Paris. 210 pp.
Short FT, Wyllie-Escheverria S., 1996. Natural and human-induced disturbance of seagrasses. Environmental Conservation 23: 17-27
Short FT, and Coles RG., eds. 2001 Global Seagrass Research Methods. Elsevier,Amsterdam. 482 pages
Terrados J, and Borum J., 2004. European seagrasses: an introduction to monitoring and management. The MMS project. 88pp
Wasrin, UR., Setiabudi, S., Ichwan, MS., Nur, A., Hidayat, and Budiman, A. 2000. Tropical Forest Monitoring for selected Test Sites in Indonesia
Sumatera, Kalimantan, Irian Jaya. Seamea Biotrop, Bogor, Indonesia. Watson, R.A., Coles, R.G. and Lee Long, W.J. 1993. Simulation estimates of
annual yield and landed values for commercial penaeid prawns from tropical seagrass habitat, Northern Queensland, Australia. Australian Journal of
Marine and Freshwater Research 44: 211-219.
Kategori