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Optically shallow waters (OSW) enable water depth retrieval through passive optical remote sensing, benefiting from the relatively low attenuation of the water column.
Enze Wang +4 more
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Satellite-Derived Bottom Depth for Optically Shallow Waters Based on Hydrolight Simulations
The bottom depth of coastal benthic habitats plays a vital role in the coastal ecological environment and navigation. In optically shallow waters (OSWs), seafloor reflectance has an impact on the remotely sensed data, and thus, water depth can be ...
Yuxin Wang +6 more
doaj +3 more sources
A NEW TECHNIQUE BASED ON MINI-UAS FOR ESTIMATING WATER AND BOTTOM RADIANCE CONTRIBUTIONS IN OPTICALLY SHALLOW WATERS [PDF]
The mapping of nearshore bathymetry based on spaceborne radiometers is commonly used for QC ocean colour products in littoral waters. However, the accuracy of these estimates is relatively poor with respect to those derived from Lidar systems due in part
M. A. Montes-Hugo, C. Barrado, E. Pastor
doaj +8 more sources
Bathymetry mapping is important for detecting underwater topography. For optically shallow waters, the use of satellite-based high-spatial-resolution imagery (Such as Gaofen-2, Ziyuan-3, Worldview-2) and historical medium-spatial-resolution imagery ...
Yongming Liu +7 more
doaj +4 more sources
Developing Benthic Class Specific, Chlorophyll-a Retrieving Algorithms for Optically-Shallow Water Using SeaWiFS [PDF]
This study evaluated the ability to improve Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) chl-a retrieval from optically shallow coastal waters by applying algorithms specific to the pixels’ benthic class. The form of the Ocean Color (OC) algorithm was
Tara Blakey +5 more
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With the exception of a few areas, Lake Michigan (LM) is an oligotrophic clear water body. It is predominantly in its littoral zone where ecology-relevant processes unfold due to a variety of natural and anthropogenic forcings arising from the watershed.
Anton Korosov +5 more
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An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water
Satellite remote sensing has become an essential observing system to obtain comprehensive information on the status of coastal habitats. However, a significant challenge in remote sensing of optically shallow water is to correct the effects of the water column. This challenge becomes particularly difficult due to the spatial and temporal variability of
Yang Dingtian, Chaoyu Yang
exaly +4 more sources
Water depth (H), bottom reflectance (Rbλ), chlorophyll-a concentration (Chl) and seawater transparency (SDD) are key parameters in assessing shallow benthic habitats. However, due to limited in-situ data, restricted hyperspectral imagery or dynamic water
Yunhan Ma +10 more
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In aquatic remote sensing, algorithms commonly used to map environmental variables rely on assumptions regarding the optical environment. Specifically, some algorithms assume that the water is optically deep, i.e., that the influence of bottom reflectance on the measured signal is negligible.
Anders Knudby, Yiwen Lin
exaly +2 more sources
The collection of spectral data with sensors fixed to various platforms (e.g., satellites, occupied aerial vehicles, and small unoccupied aerial systems (sUAS)) has allowed for the estimation of optically active constituents (OACs) common in surface ...
Brandon K. Holzbauer-Schweitzer +1 more
doaj +1 more source

