DETECTING SUBMERGED AQUATIC VEGETATION WITH 8-BAND WORLDVIEW-2 SATELLITE IMAGES

被引：7

作者：

Liew, Soo Chin ^{[1
]}

Chang, Chew Wai ^{[1
]}

机构：

[1] Natl Univ Singapore, Ctr Remote Imaging Sensing & Proc, Singapore, Singapore

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

submerged aquatic vegetation; turbidity; water depth; water column correction;

D O I：

10.1109/IGARSS.2012.6350957

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：2560 / 2562

页数：3

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