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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS) Dahdouh-Guebas, F.; Van Hiel, E.; Cheung-Wai Chan, J.; Jayatissa, L.P.; Koedam, N. (2005). Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS). Syst. Biodiv. 2(2): 113-119. dx.doi.org/10.1017/S1477200004001422 In: Systematics and Biodiversity. Cambridge University Press: Cambridge. ISSN 1477-2000; e-ISSN 1478-0933, meer

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Beschikbaar in	Auteurs
VLIZ: Open Marine Archive 97806 [ download pdf ]

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Trefwoorden

Disciplines > Biology > Genetics > Population genetics > Genetic equilibrium > Introgression Mangroves Remote sensing Resolution Acrostichum L. [WoRMS]; Rhizophora L. [WoRMS] Sri Lanka [Marine Regions] Marien/Kust

Author keywords

mangrove; remote sensing; resolution; introgression; IKONOS; Acrostichum; Rhizophora; Sri Lanka

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Auteurs		Top
Dahdouh-Guebas, F., meer Van Hiel, E., meer Cheung-Wai Chan, J., meer	Jayatissa, L.P., meer Koedam, N., meer

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Abstract

This paper is a preliminary report of the ability of IKONOS multispectral satellite imagery with a very high spatial resolution of 1 metre to distinguish two mangrove species in Sri Lanka belonging to the same genus (Rhizophora apiculata and R. mucronata). Not only is this an advancement for the monitoring of forests, it is even more important considering their patchy nature in Sri Lankan mangroves (in contrast to classically zoned forests). Apart from congeneric distinction, introgressive species (Acrostichum aureum) can also be detected from IKONOS imagery, which is important in the early warning for cryptic ecological changes that may affect mangrove species composition (both floral and faunal) and functioning. The results tabulate the usage of various image composites, transformations and classifications, and indicate the danger of too much detail in remote sensing, and the need to apply an optimum resolution. We also highlight that the highest resolutions (as in pansharpened multispectral composites) remain invaluable for visual ecological investigations, which are not at all outdated by new digital satellite images of (sub)metre spatial resolution and their possibility for computer-aided analysis.

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