標題: | High-resolution depth and coastline over major atolls of South China Sea from satellite altimetry and imagery |
作者: | Hsiao, Yu-Shen Hwang, Cheinway Cheng, Yung-Sheng Chen, Liang-Chien Hsu, Hung-Jui Tsai, Jung-Huo Liu, Chien-Liang Wang, Ching-Chieh Liu, Ya-Chi Kao, Yu-Chi 土木工程學系 Department of Civil Engineering |
關鍵字: | Atoll depth;Gravity;Satellite altimetry;Satellite imagery;South China Sea |
公開日期: | 四月-2016 |
摘要: | Current bathymetric models for the South China Sea (SCS) are largely based on predicted depths from gravity and sparse single-beam echo-sounder measurements. Such models lack high-resolution coastlines and shallow water bottom features around atolls and islands. This study refines the gravity field of the SCS using sea surface heights from measurements of satellite altimeter Geosat/GM, ERS-1/GM, Jason-1/GM and the original Cryosat-2. A new one-minute gravity anomaly grid is determined. The modeled gravity anomalies show a 6-mgal RMS discrepancy with shipborne measurements in shallow waters. An altimeter-only bathymetric model is derived from the new gravity grid by the gravity-geological method that uses the latest global and regional models of the ocean depth and marine gravity as a priori knowledge. The new model outperforms current SCS bathymetric models and is accurate to 100 m, based on comparison with multi-beam depth measurements. Optical images from IKONOS-2, QuickBird-2, GeoEye-1, WorldView-1-2 and -3, are rectified and digitized to derive the zero (coastline) and 20-m depth contours (reef lines) around 44 atolls, which are integrated with the altimeter-only depths, giving significantly improved accuracies and spatial resolutions in modeled depths. The improvement percentages of coastlines by the satellite imagery range from 50% to 97% at 41 of the 44 atolls. We establish a webpage for free access to the optical and depth images, and the depth and gravity grids. We will continue to update satellite images, altimeter-derived gravity grids and bathymetric models over major atolls of the SCS. (C) 2016 Elsevier Inc. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.rse.2016.01.016 http://hdl.handle.net/11536/133454 |
ISSN: | 0034-4257 |
DOI: | 10.1016/j.rse.2016.01.016 |
期刊: | REMOTE SENSING OF ENVIRONMENT |
Volume: | 176 |
起始頁: | 69 |
結束頁: | 83 |
顯示於類別: | 期刊論文 |