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