Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2012.6350957
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dc.titleDetecting submerged aquatic vegetation with 8-band WorldView-2 satellite images
dc.contributor.authorLiew, S.C.
dc.contributor.authorChang, C.W.
dc.date.accessioned2014-12-12T07:15:08Z
dc.date.available2014-12-12T07:15:08Z
dc.date.issued2012
dc.identifier.citationLiew, S.C., Chang, C.W. (2012). Detecting submerged aquatic vegetation with 8-band WorldView-2 satellite images. International Geoscience and Remote Sensing Symposium (IGARSS) : 2560-2562. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2012.6350957
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115400
dc.description.abstractIn this paper, we investigate the effects of water turbidity and water depth on the task of detecting submerged aquatic vegetation, such as seagrass, using WorldView-2 satellite images. We computed the reflectance spectra of submerged aquatic vegetation using a shallow water reflectance model for various water depth, water turbidity and benthic vegetation cover fraction on sandy substrate. The computed spectra were added with noise and used in a inverse modeling algorithm for retrieving the water depth, optical properties and water column corrected sea bottom reflectance. For low turbidity water (up to 25 NTU), the retrieved water column corrected NDVI values correlate very well with the vegetation cover fraction. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IGARSS.2012.6350957
dc.sourceScopus
dc.subjectsubmerged aquatic vegetation
dc.subjectturbidity
dc.subjectwater column correction
dc.subjectwater depth
dc.typeConference Paper
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.doi10.1109/IGARSS.2012.6350957
dc.description.sourcetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.page2560-2562
dc.description.codenIGRSE
dc.identifier.isiut000313189402184
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