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Estimating chlorophyll a concentrations from remote-sensing reflectance in optically shallow waters

Remote Sensing of Environment, 2006
A multi-spectral classification and quantification technique is developed for estimating chlorophyll a concentrations, Chl, in shallow oceanic waters where light reflected by the bottom can contribute significantly to the above-water remote-sensing reflectance spectra, Rrs(k). Classification criteria for determining bottom reflectance contributions for
Jennifer Cannizzaro, Kendall L Carder
exaly   +3 more sources

Global Delineation of Optically Shallow and Optically Deep Water Using Machine Learning

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
We developed a Random Forest model to classify optically deep and optically shallow water pixels in Sentinel-2 imagery. The model was trained and tested on a global dataset of pixels visually interpreted from Sentinel-2 imagery.
G. Richardson   +3 more
semanticscholar   +2 more sources

Ocean color algorithms in optically shallow waters: limitations and improvements

SPIE Proceedings, 2005
Current 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.
K. Carder   +2 more
semanticscholar   +2 more sources

Decorrelating remote sensing color bands from bathymetry in optically shallow waters

IEEE Transactions on Geoscience and Remote Sensing, 2006
We have developed a simple technique to decorrelate remote sensing color band data from depth in optically shallow water. The method linearizes color band data with respect to depth by subtracting an optically deepwater value from the entire waveband under consideration and taking the natural logarithm of the result.
C. L. Conger   +3 more
semanticscholar   +2 more sources

Airborne mapping of shallow water bathymetry in the optically complex waters of the Baltic Sea

Journal of Applied Remote Sensing, 2016
Accurate 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 ...
E. Vahtmäe, T. Kutser
semanticscholar   +2 more sources

Optically shallow waters: modelling of radiometric color and development of water quality retrieval algorithms

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001
Based on a previously developed hydro-optical model and models simulating solar light absorption, elastic scattering, water Raman scattering, phytoplankton chlorophyll and dissolved organics fluorescence, as well as the light reflection at the bottom and the incident radiation spectral distribution, numerical simulations have been conducted to attain ...
D. Pozdnyakov   +3 more
semanticscholar   +2 more sources

Mapping Ultrahigh-Spatial-Resolution Bathymetry for a Wide Range of Coastal Optically Shallow Waters Without In Situ Bathymetric Data

IEEE Transactions on Geoscience and Remote Sensing, 2023
Mapping bathymetry with satellite-based imagery for optically shallow waters is important for the management of coastal areas. However, mapping ultrahigh-spatial-resolution bathymetry (spatial resolution < 5 m) for a wide range of coastal optically ...
Yongming Liu   +6 more
semanticscholar   +1 more source

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