Retrieval of marine water constituents from AVIRIS data in the Hudson/Raritan Estuary

Bagheri, Sima; Peters, Steef; Yu, Tao

doi:10.1080/0143116042000274023

Cited by 16 publications

(13 citation statements)

References 18 publications

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“…Detailed descriptions on laboratory analysis and the establishment of the bio optical model of the estuary can be found in Bagheri et al, 2000Bagheri et al, , 2005 and 2008.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, Using the bio-optical model, R(0−) spectra were simulated for the measured concentrations (using measured IOPs). Comparison of simulated and measured R(0−) provided a means to validate the bio-optical model and its accuracy as compared with the in situ R(0−) measurements recorded by the field spectroradiometer [6]. Subsequently these spectra were used to validate the performance of Tafkaa, in atmospheric correction of AVIRIS as detailed in the -result and discussion‖ section of this paper.…”

Section: Bio-optical Modelmentioning

confidence: 99%

“…To compensate for the atmospheric effects an air-water interface atmospheric correction algorithm-Tafkaa [4] was applied to AVIRIS data to infer the water-leaving radiance. This paper reports on the ongoing research using the data from the AVIRIS imaging spectrometer, field spectroradiometer and water samplings [5,6]. Based on these measurements optical water quality models are constructed to establish the relationship between concentrations and atmospherically corrected optical measurements recorded by the AVIRIS.…”

Section: Open Accessmentioning

confidence: 99%

“…The model was parameterized using measured IOPs of Hudson/Raritan estuarine waters [6] representing the optical characteristics of the estuarine waters. …”

Section: Comparison Of Measured and Tafkaa Derived Reflectancementioning

confidence: 99%

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Nearshore Water Quality Estimation Using Atmospherically Corrected AVIRIS Data

Bagheri

2011

Remote Sensing

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Abstract:The objective of the research is to characterize the surface spectral reflectance of the nearshore waters using atmospheric correction code-Tafkaa for retrieval of the marine water constituent concentrations from hyperspectral data. The study area is the nearshore waters of New York/New Jersey considered as a valued ecological, economic and recreational resource within the New York metropolitan area. Comparison of the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) measured radiance and in situ reflectance measurement shows the effect of the solar source and atmosphere in the total upwelling spectral radiance measured by AVIRIS. Radiative transfer code, Tafkaa was applied to remove the effects of the atmosphere and to generate accurate reflectance (R(0)) from the AVIRIS radiance for retrieving water quality parameters (i.e., total chlorophyll). Chlorophyll estimation as index of phytoplankton abundance was optimized using AVIRIS band ratio at 675 nm and 702 nm resulting in a coefficient of determination of R 2 = 0.98.Use of the radiative transfer code in conjunction with bio optical model is the main tool for using ocean color remote sensing as an operational tool for monitoring of the key nearshore ecological communities of phytoplankton important in global change studies.

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“…Detailed descriptions on laboratory analysis and the establishment of the bio optical model of the estuary can be found in Bagheri et al, 2000Bagheri et al, , 2005 and 2008.…”

Section: Methodsmentioning

confidence: 99%

Section: Bio-optical Modelmentioning

confidence: 99%

Section: Open Accessmentioning

confidence: 99%

“…The model was parameterized using measured IOPs of Hudson/Raritan estuarine waters [6] representing the optical characteristics of the estuarine waters. …”

Section: Comparison Of Measured and Tafkaa Derived Reflectancementioning

confidence: 99%

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Nearshore Water Quality Estimation Using Atmospherically Corrected AVIRIS Data

Bagheri

2011

Remote Sensing

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“…A field campaign was carried out in the estuary during August 1999 to obtain in-situ measurements of subsurface irradiance reflectance R(0-), together with in situ water samples, that were later analyzed in the laboratory for their inherent optical properties (IOP) and concentration of water quality parameters (WQP) [20]. The data were subsequently used in establishment of bio-optical model of the estuary and calibration of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data [21].…”

Section: Study Areamentioning

confidence: 99%

Utility of Field Spectroradiometer Data in Chlorophyll-α Estimation

Bagheri¹

2012

TORMSJ

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Abstract:We present here results supporting the use of Medium Resolution Imaging Spectrometer (MERIS)-based Near Infrared-Red algorithms for estimating chlorophyll-a (chl-a) concentration in complex coastal waters. The objective of the study was to test the potential of universal applicability of NIR-Red algorithms, calibrated with (a) radiometric measurements and in situ data from inland waters in Nebraska, (b) MERIS data, acquired over Azov Sea in Russia, and (c) data synthetically generated using a radiative transfer model, to estimate chl-a concentration in the Hudson/Raritan Estuary of New York/New Jersey. We used a set of in situ reflectance and water samples collected in the Hudson/Raritan Estuary of New York/New Jersey for this validation. The NIR-Red algorithms produced consistently accurate estimates of chl-a concentration, ranging from 3.9 mg m -3 to 26.3 mg m 3 , with the root mean square error (RMSE) below 2 mg m -3 . The algorithms do not need re-parameterization and it presents a strong case for the use of NIR-Red algorithms for real-time quantitative monitoring of Hudson/Raritan Estuary, and potentially other inland and coastal waters.

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Introduction

Bagheri¹

2016

SpringerBriefs in Environmental Science

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Retrieval of marine water constituents from AVIRIS data in the Hudson/Raritan Estuary

Cited by 16 publications

References 18 publications

Nearshore Water Quality Estimation Using Atmospherically Corrected AVIRIS Data

Nearshore Water Quality Estimation Using Atmospherically Corrected AVIRIS Data

Utility of Field Spectroradiometer Data in Chlorophyll-α Estimation

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