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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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High-resolution vegetation data for mangrove research as obtained from aerial photography Verheyden, A.; Dahdouh-Guebas, F.; Thomaes, K.; De Genst, W.; Hettiarachchi, S.; Koedam, N. (2002). High-resolution vegetation data for mangrove research as obtained from aerial photography. Environ. Dev. Sustain. 4(2): 113-133. https://dx.doi.org/10.1023/A:1020887510357 In: Environment, Development and Sustainability. Springer Science+Business Media: London; Dordrecht; Boston. ISSN 1387-585X; e-ISSN 1573-2975, meer Ook verschenen in: Dahdouh-Guebas, F. (Ed.) (2002). Remote sensing and GIS in the sustainable management of tropical coastal ecosystems. Environment, Development and Sustainability, 4(2). Kluwer Academic: Dordrecht. 144 pp., meer

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Beschikbaar in	Auteurs
VLIZ: Open Marine Archive 35094 [ download pdf ]

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Trefwoorden

Imagery > Photography > Aerial photography Management > Ecosystem management > Coastal zone management Management > Environment management Monitoring > Environmental monitoring Remote sensing Surveys > Aerial surveys Vegetation cover Water bodies > Inland waters > Wetlands > Swamps > Mangrove swamps ISW, Sri Lanka [Marine Regions] Marien/Kust

Author keywords

aerial photography; mangrove; remote sensing; Sri Lanka; vegetation mapping

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Auteurs		Top
Verheyden, A., meer Dahdouh-Guebas, F., meer Thomaes, K.	De Genst, W. Hettiarachchi, S. Koedam, N., meer

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Abstract

In this methodological study, the applicability of aerial photographs for monitoring mangrove vegetation dynamics at high resolution was investigated. Vegetation maps of three mangrove forests in Sri Lanka (Galle, Rekawa and Pambala) were produced based on visual analysis of aerial photographs. The visual analysis was aided by applying an interpretation key constructed during a first fieldwork mission. Image attributes used for the identification of individual trees included: gray values, texture, form and size of the crowns and the presence or absence of a shaded side. For the identification of species assemblages, the vegetation structure (i.e. the distribution of individual trees) appeared to be an important attribute. The accuracy and reliability of the vegetation maps were investigated during a second fieldwork mission. The aerial photographs proved to be very useful for the production of genus-based vegetation maps. The error analysis showed that density estimations (quantitative identification) based on aerial photography was not sufficiently accurate for the objectives of the study, but that the overall identification of vegetation assemblages (qualitative identification) coincided most satisfactory with the ground-truth data. In addition to the applicability of aerial photography in monitoring mangroves, the importance of aerial photography in the management of the mangrove ecosystem is clearly highlighted.

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