Open WL Archief (OWA)

Over het archief

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.

Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.

Basisinformatie over ‘Open Access to scholarly information'.

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one publication added to basket [35099]

Mangrove mapping using Landsat imagery and aerial photographs: Kemaman district, Terengganu, Malaysia Sulong, I.; Mohd-Lokman, H.; Mohd-Tarmizi, K.; Ismail, A. (2002). Mangrove mapping using Landsat imagery and aerial photographs: Kemaman district, Terengganu, Malaysia. Environ. Dev. Sustain. 4(2): 135-152. https://dx.doi.org/10.1023/A:1020844620215 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: Non-open access 35099 [ aanvragen ]

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Trefwoord

Marien/Kust

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Auteurs		Top
Sulong, I. Mohd-Lokman, H. Mohd-Tarmizi, K. Ismail, A.

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Abstract

Classification and distribution of mangrove vegetation are vital information for the proper development of a mangrove management plan. In this study, classification for the mangroves of the district of Kemaman were done using both 1 : 5000 aerial photographs and Landsat TM imageries. The coverage by aerial photographs is limited to the coastal and estuarine areas only. Thus, for areas further upstream of the aerial photo coverage, Landsat TM imageries were used. Analysis of aerial photographs and remote sensing images revealed that the mangroves of Kemaman could be classified into 14 different classes of vegetation. All the 14 classes were identified from areas covered by the aerial photographs. For areas covered by the Landsat images only 7 classes of vegetation were identified. The accuracy for aerial photograph and Landsat images are 91.2% and 87.8%, respectively. It can be concluded that although both techniques are useful in determining the mangrove vegetation classes, the large 1: 5000 aerial photographs are more accurate and provided more detailed information comparatively.

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