AVIRIS calibration and application in coastal oceanic environments

Carder, Kendall L.; Reinersman, Phillip N.; Chen, Robert F.; Muller‐Karger, Frank E.; Davis, Curtiss O.; Hamilton, Michael K.

doi:10.1016/0034-4257(93)90016-q

Cited by 65 publications

(29 citation statements)

References 14 publications

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“…The overall shapes of the reflectance spectra above 0.45 m are quite consistent with those measured from other field measurements. 19,20 Below 0.45 m, the reflectances fall off too rapidly with decreasing wavelengths and even become negative for wavelengths less than ϳ0.41 m. This problem has been observed by Carder et al 21 and Hamilton et al 23 for other AVIRIS scenes. It is likely due to radiometric calibration of the AVIRIS instrument, which reports too-small radiances in the blue spectral region.…”

Section: A Chesapeake Baymentioning

confidence: 82%

Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Gao¹,

Montes²,

Ahmad³

et al. 2000

Appl. Opt.

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212

138

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Existing atmospheric correction algorithms for multichannel remote sensing of ocean color from space were designed for retrieving water-leaving radiances in the visible over clear deep ocean areas and cannot easily be modified for retrievals over turbid coastal waters. We have developed an atmospheric correction algorithm for hyperspectral remote sensing of ocean color with the near-future Coastal Ocean Imaging Spectrometer. The algorithm uses lookup tables generated with a vector radiative transfer code. Aerosol parameters are determined by a spectrum-matching technique that uses channels located at wavelengths longer than 0.86 m. The aerosol information is extracted back to the visible based on aerosol models during the retrieval of water-leaving radiances. Quite reasonable water-leaving radiances have been obtained when our algorithm was applied to process hyperspectral imaging data acquired with an airborne imaging spectrometer.

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Section: A Chesapeake Baymentioning

confidence: 82%

Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Gao¹,

Montes²,

Ahmad³

et al. 2000

Appl. Opt.

Self Cite

212

138

View full text Add to dashboard Cite

show abstract

“…Hyperspectral data have been utilized for deriving information on coastal water properties and constituents [1][2][3][4][5], extracting information on benthic habitat composition [6][7][8][9], and estimating bathymetry [10,11]. In most cases, these independent objectives are achieved using various simplifying assumptions to significantly reduce system complexity (e.g., assuming spatially uniform water properties while deriving information on habitat composition).…”

Section: Introductionmentioning

confidence: 99%

Influence of atmospheric and sea-surface corrections on retrieval of bottom depth and reflectance using a semi-analytical model: a case study in Kaneohe Bay, Hawaii

2008

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Hyperspectral instruments provide the spectral detail necessary for extracting multiple layers of information from inherently complex coastal environments. We evaluate the performance of a semi-analytical optimization model for deriving bathymetry, benthic reflectance, and water optical properties using hyperspectral AVIRIS imagery of Kaneohe Bay, Hawaii. We examine the relative impacts on model performance using two different atmospheric correction algorithms and two different methods for reducing the effects of sunglint. We also examine the impact of varying view and illumination geometry, changing the default bottom reflectance, and using a kernel processing scheme to normalize water properties over small areas. Results indicate robust model performance for most model formulations, with the most significant impact on model output being generated by differences in the atmospheric and deglint algorithms used for preprocessing.

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“…The desert dust was blowing to the offshore area in Figure 3B but the discolorations were only observed in the nearshore regions. The sea bottom can influence the water colour at the sea surface depending on the optical properties of the water, the bottom material and the water depth [13][14][15][16]. Satellite images of ocean colour sensors show definite structures and specific colours at the sea surface due to features in the sea bottom topography, if a water body of relatively high transparency covers a high reflective sea bottom.…”

Section: Resultsmentioning

confidence: 99%

Investigation of hydrogen sulphide eruptions along the Namibian coastline using different remote sensing systems

Ohde

2009

Open Geosciences

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Hydrogen sulphide eruptions with their typical turquoise discolorations at the water surface are a unique phenomenon along the Namibian coastline. The remote sensing techniques of ocean colour sensors and microwave scatterometers were used for the investigation of such events. The studies with ocean colour sensors showed that the turquoise discolorations near the Namibian coast were neither linked to dust deposition into the water column by desert storms nor to the reflection of bright material in shallow water areas. In addition, other coloured marine events like algae blooms and river outflows were differentiable from the hydrogen sulphide eruptions by their special optical properties. Quasi-true colour images and spectral identification methods were utilised to monitor and investigate the spatial and temporal distribution of sulphide events. In the past years, they were sometimes and locally limited discovered. Newest remote sensing observations including our own investigations have established that the occurrence of sulphide events is more frequent and longer lasting. The north-westerly direction of propagation and their velocity between 12 cm s −1 and 15 cm s −1 were derived from an event on 14 April 2004. Lastly, the microwave scatterometer remote sensing was applied to investigate the relation of sulphide events to oceanographic conditions. The events from May 2004 were clearly related to strong coastal upwelling.

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AVIRIS calibration and application in coastal oceanic environments

Cited by 65 publications

References 14 publications

Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Influence of atmospheric and sea-surface corrections on retrieval of bottom depth and reflectance using a semi-analytical model: a case study in Kaneohe Bay, Hawaii

Investigation of hydrogen sulphide eruptions along the Namibian coastline using different remote sensing systems

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