Results 1 to 10 of about 54,046 (177)

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.
Juan Wang, Wenting Cao, Huaguo Zhang
exaly   +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 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 Observation 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
Huaguo Zhang, Yunhan Ma
exaly   +4 more sources

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

open access: yesGIScience and 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 ...
Shilin Tang   +2 more
exaly   +4 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   +4 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   +6 more sources

The spectral upwelling radiance distribution in optically shallow waters [PDF]

open access: yesLimnology and Oceanography, 2003
The upwelling radiance distribution in optically shallow water is investigated with experiments and Hydrolight numerical simulations for two different benthic surfaces and a range of solar zenith angles (≪60°). Over a bright sand surface (water depth 5 m) the upwelling radiance distribution was brightest at nadir and decreased toward the horizon.
Kenneth Voss
exaly   +3 more sources

A Portable Algorithm to Retrieve Bottom Depth of Optically Shallow Waters from Top-Of-Atmosphere Measurements

open access: yesJournal of Remote Sensing, 2022
Bottom depth (H) of optically shallow waters can be retrieved from multiband imagery, where remote sensing reflectance (Rrs) are commonly used as the input.
Wendian Lai   +5 more
doaj   +2 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   +5 more sources

A Simple Cloud-Native Spectral Transformation Method to Disentangle Optically Shallow and Deep Waters in Sentinel-2 Images

open access: yesRemote Sensing, 2022
This study presents a novel method to identify optically deep water using purely spectral approaches. Optically deep waters, where the seabed is too deep for a bottom reflectance signal to be returned, is uninformative for seabed mapping.
Chengfa Benjamin Lee   +2 more
doaj   +2 more sources

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