Results 241 to 250 of about 5,637,270 (277)
MODIS-Derived Spatiotemporal Water Clarity Patterns in Optically Shallow Florida Keys Waters: A New Approach to Remove Bottom Contamination [PDF]
Retrievals of water quality parameters from satellite measurements over optically shallow waters have been problematic due to bottom contamination of the signals. As a result, large errors are associated with derived water column properties.
Zhongping Lee +2 more
exaly +2 more sources
Deriving inherent optical properties (IOPs) and other water quality parameters from satellite remote sensing data covering optically shallow environments has historically been problematic due to difficulties in separating the benthic signal from that of ...
Zhongping Lee +2 more
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Design of shallow-water optical fiber cables
SPIE Proceedings, 2004Optical fiber cables installed in seabed were divided into the deep water optical fiber cables and the shallow water optical fiber cables (SOFC) in the light of the depth of installation. Shallow water optical fiber cables, belonged to submarine optical fiber cables, are used in not only the connection among the islands and the channels but also the ...
Huiping Shi +3 more
openaire +1 more source
Optical Remote Sensing of Shallow-Water Environmental Parameters
Remote Sensing of Environment, 2000Abstract A review of methods used for deriving seafloor reflectance and water diffuse attenuation form remotely sensed data is conducted. Emphasis is made on inverse methods applied to remote sensing of ocean properties. Then an inverse scheme for the retrieval of optically active components in coastal shallow waters is described and validated ...
Dominique Durand +2 more
openaire +1 more source
Shallow water rogue waves in nonlinear optical fibers
2013 Conference on Lasers & Electro-Optics Europe & International Quantum Electronics Conference CLEO EUROPE/IQEC, 2013The dynamics of extreme waves, often known as freak or rogue waves (RW), is presently a subject of intensive research. In oceanography, RW are mostly known as a sudden deep-water event which is responsible for ship wreakages and can be modeled by the 1D Nonlinear Schrodinger Equation (NLSE).
Wabnitz, Stefan +3 more
openaire +4 more sources
Global Delineation of Optically Shallow and Optically Deep Water Using Machine Learning
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumAnders Knudby
exaly +3 more sources
Airborne mapping of shallow water bathymetry in the optically complex waters of the Baltic Sea
Journal of Applied Remote Sensing, 2016Accurate determination of the water depth is important for marine spatial planning, producing maritime charts for navigation, seabed morphology studies, and carrying out different activities in the coastal waters. Bathymetric data are lacking foremost in the shallow water regions as those areas are often inaccessible to the hydrographic ships carrying ...
Ele Vahtmäe, Tiit Kutser
openaire +1 more source
Ocean color algorithms in optically shallow waters: limitations and improvements
SPIE Proceedings, 2005Current ocean color algorithms based on remote-sensing reflectance spectra, Rrs(λ), overestimate chlorophyll a concentrations, Chl, and particulate backscattering coefficients, bbp(λ), in optically shallow oceanic waters due to increased bottom reflectance.
Kendall L. Carder +2 more
openaire +1 more source
Determination of shallow water depth using optical satellite images
International Journal of Remote Sensing, 2009The Penghu archipelago comprises 64 basaltic volcanic isles lying on the Taiwan Strait between mainland China and Taiwan. The water around and within these isles is shallow and poses considerable difficulty in echo sounding detection for bathymetry. Most existing bathymetry data around such areas are in water depths of greater than 5 m. Therefore, when
Kao, Hung-Ming +6 more
openaire +2 more sources
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

