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Farid Dahdouh-Guebas & Nico Koedam Laboratory of General Botany and Nature Management,

The ‘colour’ of remotely sensed and GIS data in the sustainable management of tropical coastal biocomplexity. Farid Dahdouh-Guebas & Nico Koedam Laboratory of General Botany and Nature Management, Mangrove Management Group, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium.

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Farid Dahdouh-Guebas & Nico Koedam Laboratory of General Botany and Nature Management,

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  1. The‘colour’ of remotely sensed and GIS data in the sustainable management oftropical coastal biocomplexity Farid Dahdouh-Guebas & Nico Koedam Laboratory of General Botany and Nature Management, Mangrove Management Group, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium

  2. biodiversity biodiversity biodiversity flora flora fauna fauna flora fauna man man env. env. ecosystem functioning man env. ecosystem functioning ‘Tropical Coastal Biocomplexity’ SEAGRASS BEDS MANGROVE FORESTS overall relevance : biodiversity coastal protection wood and fishery resource ecosystem functioning CORAL REEFS

  3. ‘The colour’ remote sensing as a monitoring tool from historic aerial photography to VHR satellite imagery GIS as an analysis tool

  4. Remote sensing and GIS in thesustainable managementof tropical coastal ecosystems 8 papers covering tropical coastal areas in Venezuela, Kenya, Sri Lanka and Malaysia

  5. Resolutions : spatial temporal spectral (radiometric) (taxonomic)

  6. Identification of species/genera (LK) tonality texture structure shape shade size position Verheyden, A., F. Dahdouh-Guebas, K. Thomaes, W. De Genst, S. Hettiarachchi & N. Koedam, 2002. High resolution vegetation data for mangrove research as obtained from aerial photography.

  7. Vegetation structure dynamics (LK) 1956 1974 1994 Dahdouh-Guebas, F., A. Verheyden, W. De Genst, S. Hettiarachchi & N. Koedam, 2000. Four decade vegetation dynamics in Sri Lankan mangroves as detected from sequential aerial photography : a case-study in Galle. Bulletin of Marine Science 67(2): 741-759.

  8. Identification of species (LK-KE) aerial photography IKONOS satellite imagery panchromatic pansharpened BGNIR false colour composite • new space technology (Ikonos, Quickbird) • automated identification • extra temporal window 2002

  9. Monitoring coastal changes (VE) Calzadilla Pérez, A., M.C.J. Damen, D. Geneletti & T. Hobma, 2002. Monitoring a recent delta formation in a tropical coastal wetland using remote sensing and GIS. Case study : Guapo River Delta, Laguna de Tacarigua, Venezuela.

  10. Typification of assemblages/ land cover (KE) Kairo, J.G., B. Kivyatu & N. Koedam, 2002. Application of remote sensing and GIS in the management of mangrove forests within and adjacent to Kiunga Marine Protected Area, Lamu, Kenya.

  11. Typification of land cover / assemblages (LK) • socio-economic survey : • use of lagoon water • fishermen demography • (shell)fish catch Jayatissa, L.P., M.-C. Guéro, S. Hettiarachchi & N. Koedam, 2002. Changes in vegetation cover and socio-economic transitions in a coastal Lagoon (Kalametiya, Sri Lanka), as observed by teledetection and ground-truthing, can be attributed to an upstream irrigation scheme.

  12. Disaster management (VE) De La Ville, N., A.C. Diaz & D. Ramirez, 2002. Remote sensing and GIS technologies as tools to support sustainable management of areas devastated by landslides.

  13. Long-term monitoring / integration / forecasting Dahdouh-Guebas, F., J.G.Kairo, L.P. Jayatissa, S. Cannicci & N. Koedam, 2002. An ordination study to view vegetation structure dynamics in disturbed and undisturbed mangrove forests in Kenya and Sri Lanka. Plant Ecology 161(1): 123-135.

  14. Research challenges • remote sensing and GIS innovation; • automated integration of image attributes (texture + structure detection) : have the computer done what until now only the human eye is capable of; • long-term monitoring (way beyond the scale of projects with a short duration of 4-5 yrs); • parallel complementary research from many disciplines; • integration of inter-disciplinary data.

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