0000000000465127

AUTHOR

Shane Bradt

0000-0003-2142-6732

showing 2 related works from this author

Optical types of inland and coastal waters

2017

Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding of their functions, the drivers impacting on these functions and to deliver more effective management. The ability to observe waterbodies from space has led to Earth observation (EO) becoming established as an important source of information on water quality and ecosystem condition. However, progress toward a globally valid EO approach is still largely hampered by inconsistences over temporally and spatially variable in-water optical conditions. In this study, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of condi…

Earth observationBiogeochemical cycle010504 meteorology & atmospheric sciencesAquatic ecosystem0211 other engineering and technologiesHyperspectral imagingBiosphere02 engineering and technology15. Life on landAquatic ScienceOceanography01 natural sciences6. Clean water13. Climate actionEnvironmental scienceEcosystem14. Life underwaterWater qualityCluster analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLimnology and Oceanography
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An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters.

2014

Bio-optical models are based on relationships between the spectral remote sensing reflectance and optical properties of in-water constituents. The wavelength range where this information can be exploited changes depending on the water characteristics. In low chlorophyll-a waters, the blue/green region of the spectrum is more sensitive to changes in chlorophyll-a concentration, whereas the red/NIR region becomes more important in turbid and/or eutrophic waters. In this work we present an approach to manage the shift from blue/green ratios to red/NIR-based chlorophyll-a algorithms for optically complex waters. Based on a combined in situ data set of coastal and inland waters, measures of over…

Bio opticalWavelength rangeRemote sensing reflectanceSoil ScienceGeologyArticleData setApproximation errorOcean colorEnvironmental scienceComputers in Earth SciencesRoot-mean-square deviationAlgorithmRemote sensingRemote sensing of environment
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