Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2012.6350957
Title: Detecting submerged aquatic vegetation with 8-band WorldView-2 satellite images
Authors: Liew, S.C. 
Chang, C.W. 
Keywords: submerged aquatic vegetation
turbidity
water column correction
water depth
Issue Date: 2012
Source: 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
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.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/115400
DOI: 10.1109/IGARSS.2012.6350957
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