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Simulation and Sensitivity Analysis of Remote Sensing Reflectance for Optically Shallow Water Bathymetry

open access: yesRemote Sensing
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
doaj   +5 more sources

Satellite-Derived Bottom Depth for Optically Shallow Waters Based on Hydrolight Simulations

open access: yesRemote Sensing, 2022
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]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
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

A virtual coastal band-driven optimization-based bathymetric approach (VOBA) for optically shallow water with multispectral imagery

open access: yesGIScience & Remote Sensing
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]

open access: yesSensors, 2016
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
doaj   +7 more sources

Bio-optical retrieval algorithm for the optically shallow waters of lAKE MICHIGAN. II. efficiency assessment

open access: yesTransactions of the Karelian Research Centre of the Russian Academy of Sciences, 2018
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
doaj   +3 more sources

An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015
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

A practical and efficient model for benthic habitat parameters retrieval in optically shallow waters from four-band multispectral imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
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
doaj   +3 more sources

Global Deep Learning Model for Delineation of Optically Shallow and Optically Deep Water in Sentinel-2 Imagery

open access: yesRemote Sensing of Environment
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

In-situ manipulations of aquatic optical depth and its effect on small unoccupied aerial systems–derived spectral reflectance

open access: yesDrone Systems and Applications, 2022
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

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