Please use this identifier to cite or link to this item:
https://doi.org/10.1109/IGARSS.2012.6350957
| DC Field | Value | |
|---|---|---|
| dc.title | Detecting submerged aquatic vegetation with 8-band WorldView-2 satellite images | |
| dc.contributor.author | Liew, S.C. | |
| dc.contributor.author | Chang, C.W. | |
| dc.date.accessioned | 2014-12-12T07:15:08Z | |
| dc.date.available | 2014-12-12T07:15:08Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Liew, 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.uri | http://scholarbank.nus.edu.sg/handle/10635/115400 | |
| dc.description.abstract | In 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IGARSS.2012.6350957 | |
| dc.source | Scopus | |
| dc.subject | submerged aquatic vegetation | |
| dc.subject | turbidity | |
| dc.subject | water column correction | |
| dc.subject | water depth | |
| dc.type | Conference Paper | |
| dc.contributor.department | CTR FOR REM IMAGING,SENSING & PROCESSING | |
| dc.description.doi | 10.1109/IGARSS.2012.6350957 | |
| dc.description.sourcetitle | International Geoscience and Remote Sensing Symposium (IGARSS) | |
| dc.description.page | 2560-2562 | |
| dc.description.coden | IGRSE | |
| dc.identifier.isiut | 000313189402184 | |
| Appears in Collections: | Staff Publications | |
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