Shallow water bathymetry with multi-spectral satellite ocean color sensors: Leveraging temporal variation in image data

2020 ◽  
Vol 250 ◽  
pp. 112035
Author(s):  
Jianwei Wei ◽  
Menghua Wang ◽  
Zhongping Lee ◽  
Henry O. Briceño ◽  
Xiaolong Yu ◽  
...  
2012 ◽  
Vol 51 (25) ◽  
pp. 6045 ◽  
Author(s):  
Chuanmin Hu ◽  
Lian Feng ◽  
Zhongping Lee ◽  
Curtiss O. Davis ◽  
Antonio Mannino ◽  
...  

Eos ◽  
2010 ◽  
Vol 91 (46) ◽  
pp. 429-430 ◽  
Author(s):  
ZhongPing Lee ◽  
Chuanmin Hu ◽  
Brandon Casey ◽  
Shaoling Shang ◽  
Heidi Dierssen ◽  
...  

2016 ◽  
Vol 55 (9) ◽  
pp. 2312 ◽  
Author(s):  
Menghua Wang ◽  
Puneeta Naik ◽  
SeungHyun Son

2010 ◽  
Vol 49 (5) ◽  
pp. 798 ◽  
Author(s):  
Frédéric Mélin ◽  
Giuseppe Zibordi

2019 ◽  
Vol 11 (4) ◽  
pp. 379 ◽  
Author(s):  
Anpeng He ◽  
Xianqiang He ◽  
Yan Bai ◽  
Qiankun Zhu ◽  
Fang Gong ◽  
...  

In this study, the goal is to estimate the sedimentation on the bottom bed of Lake Taihu using numerical simulation combined with geostationary satellite ocean color data. A two-dimensional (2D) model that couples the dynamics of shallow water and sediment transport is presented. The shallow water equations are solved using a semi-implicit finite difference method with an Alternating Direction Implicit (ADI) method. Suspended sediment transport is simulated by solving the general convection-diffusion equation with resuspension and deposition terms using a second-order explicit central difference method in space and two-step Adams–Bashforth method in time. Moreover, the total suspended particulate matter (TSM) is retrieved by the world’s first geostationary satellite ocean color sensor Geostationary Ocean Color Imager (GOCI) using atmospheric correction algorithm for turbid waters using ultraviolet wavelengths (UV-AC) and regional empirical TSM algorithm. The 2D model and GOCI-retrieved TSM are applied to study the sediment transport and sedimentation in Lake Taihu. Validation results show rationale TSM concentration retrieved by GOCI, and the simulated TSM concentrations are consistent with GOCI observations. In addition, simulated sedimentation results reveal the dangerous locations that must be observed and desilted.


2009 ◽  
Vol 26 (1) ◽  
pp. 57-73 ◽  
Author(s):  
Michael E. Feinholz ◽  
Stephanie J. Flora ◽  
Mark A. Yarbrough ◽  
Keith R. Lykke ◽  
Steven W. Brown ◽  
...  

Abstract The Marine Optical System is a spectrograph-based sensor used on the Marine Optical Buoy for the vicarious calibration of ocean color satellite sensors. It is also deployed from ships in instruments used to develop bio-optical algorithms that relate the optical properties of the ocean to its biological content. In this work, an algorithm is applied to correct the response of the Marine Optical System for scattered, or improperly imaged, light in the system. The algorithm, based on the measured response of the system to a series of monochromatic excitation sources, reduces the effects of scattered light on the measured source by one to two orders of magnitude. Implications for the vicarious calibration of satellite ocean color sensors and the development of bio-optical algorithms are described. The algorithm is a one-dimensional point spread correction algorithm, generally applicable to nonimaging sensors, but can in principle be extended to higher dimensions for imaging systems.


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