Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/112880
Title: Mapping coastal habitats of singapore using high resolution satellite imagery
Authors: Chen, P. 
Liew, S.C. 
Lim, R.
Kwoh, L.K. 
Keywords: Coastal habitat mapping
Ecosystem
High resolution imagery
Remote sensing
Issue Date: 2011
Citation: Chen, P.,Liew, S.C.,Lim, R.,Kwoh, L.K. (2011). Mapping coastal habitats of singapore using high resolution satellite imagery. 32nd Asian Conference on Remote Sensing 2011, ACRS 2011 2 : 1251-1254. ScholarBank@NUS Repository.
Abstract: Remote sensing technologies provide a useful tool for coastal resources inventory. In this study, the high resolution satellite imagery (WorldView-2 and GeoEye-1) acquired in 2010 and 2011 were used to map coastal habitats for the main island, all the offshore islands and patch reefs of Singapore where rich biodiversity with seagrasses, mangroves and coral reefs are distributed in the intertidal zone. Images acquired at low tide were first corrected for Rayleigh scattering and gaseous absorption in the atmosphere. Hierarchical unsupervised classification and contextual editing were used to produce the final coastal habitat map. Field surveys were also conducted in some studied area. For the intertidal zone, the classification scheme included sandy beach, mangroves, seagrass, sandflat or mudflat with seagrass/algae, rocky shore with algae, sand/rubble, coral rubble with seagrass/algae/coral, reef slope, lagoon, sand flat, mud flat and shallow water. Both substrate types and the habitats cover were mapped. For the terrestrial areas in the islands, the classification scheme included built-up land, open land and other vegetation (secondary forest, scrub and grassland, etc). The map shows the distribution and zonation of the coastal habitats in Singapore and it will be used for coastal resources assessment and management as well as for future comparative study.
Source Title: 32nd Asian Conference on Remote Sensing 2011, ACRS 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/112880
ISBN: 9781618394972
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