Atmospheric Correction and Vicarious Calibration of Oceansat-1 Ocean Color Monitor (OCM) Data in Coastal Case 2 Waters

Dash, Padmanava; Walker, Nan D.; Mishra, Deepak R.; D’Sa, Eurico J.; Ladner, Sherwin

doi:10.3390/rs4061716

Cited by 24 publications

(10 citation statements)

References 32 publications

(56 reference statements)

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“…[14][15]2009 29 Jan. 7-9, 2006 47 Apr. [17][18][19][20][21][22][23][24][25][26][27]2009 51 Jul. 29 to Aug. 1, 2006 39 Oct. 17-18, 2012 9 Oct. [12][13][14][15]2006 37 May 11-13, 2013 40 Jan. [7][8][9]2007 50 Jul.…”

Section: Study Area Descriptionunclassified

“…However, since 70% of the detectors for the original 500 m resolution 1640 nm band on the MODIS-Aqua are inoperable, the (1640, 2130)-based method cannot be applied operationally.Except for the uncertainties mentioned above, there are a number of other uncertainties associated with the atmospheric correction of water color remote sensing images. To improve the accuracy of atmospheric correction, previous studies have widely adopted vicarious calibration as an operational method [18][19][20][21][22][23][24][25]. Vicarious calibration uses the in situ-measured water-leaving radiance coincident with the water color remote sensing images to compute the vicarious calibration coefficients, i.e., the gains, to obtain the original TOA radiance of the water color remote sensing images.…”

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confidence: 99%

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Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water

Yin

et al. 2019

Remote Sensing

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Water color remote sensing requires accurate atmospheric correction but this remains a significant challenge in highly turbid waters. In this respect, the shortwave infrared (SWIR) band-based atmospheric correction approach has proven advantageous when applied to the moderate resolution imaging spectroradiometer (MODIS) onboard the Aqua satellite. However, even so, uncertainties affect its accuracy. We performed a regional vicarious calibration of the MODIS-Aqua SWIR (1240, 2130)-based atmospheric correction using in situ water surface reflectance data measured during different seasons in Lake Taihu, a highly turbid lake. We then verified the accuracy of the (1240, 2130)-based atmospheric correction approach using these results; good results were obtained for the remote sensing reflectance retrievals at the 555, 645, and 859 nm, with average relative errors of 15%, 14%, and 22%, respectively, and no significant bias. Comparisons with the (1240, 2130)-based iterative approach and (1640, 2130)-based approach showed that the vicarious calibrated (1240, 2130)-based approach has the best accuracy and robustness. Thus, it is applicable to the highly turbid Lake Taihu. It may also be applicable to other highly turbid inland waters with similar optical and aerosol optical properties above water, but such applications will require further validation. two main categories. The first attempts to develop models to assess the water-leaving radiance in NIR bands mainly using an iterative approach [3][4][5][6][7]. The second approach uses atmospheric information derived from adjacent clear water and interpolates the corrections to the turbid water [8]. These improved approaches usually work well in moderately turbid waters but are not necessarily valid for highly turbid waters since certain waters saturate the NIR bands, rendering these "black NIR"-based approaches completely unusable.Wang and Shi [9-11] proposed a "black shortwave infrared (SWIR)"-based approach, which assumes that the water-leaving radiance in the SWIR bands is zero and uses two SWIR bands to replace the two NIR bands present in the original GW94 approach. Due to the strong absorption at the SWIR wavelengths from pure water [12], the water-leaving radiance in the SWIR wavelength for even highly turbid water tends to be zero. Therefore, the SWIR-based atmospheric correction approach can be used for highly turbid waters. Previous studies have already verified this approach with its application to MODIS-Aqua data in several areas with highly turbid water, including the East China Sea and eastern coast of the U.S.A. [9,10,13,14]. These studies used two SWIR bands at 1240 and 2130 nm because 14 out of the 20 detectors for the original 500 m resolution 1640 nm band on the MODIS-Aqua are inoperable. However, in certain highly turbid waters, such as areas in Lake Taihu, we cannot neglect the water-leaving radiance at the 1240 nm band and the original (1240, 2130) SWIR-based atmospheric correction approach will overestimate aerosol scattering and underestimate the wate...

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Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water

Yin

et al. 2019

Remote Sensing

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“…For example, by the use of remote sensing technologies, suspended particulate matter and the algal blooms can be precisely measured and a time-series of products could be generated. The cyanobacterial concentrations can also be precisely measured using remotely sensed data and phycocyanin measurements, as has been done in our previous studies [19,26]. Long time-series datasets can help to develop total maximum daily load (TMDL) for sediments, nutrients and pathogens that are negatively impacting the lakes.…”

Section: Discussionmentioning

confidence: 99%

Water Quality of Four Major Lakes in Mississippi, USA: Impacts on Human and Aquatic Ecosystem Health

Dash

Silwal

Ikenga

et al. 2015

Water

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Harmful algal blooms (HABs), harmful microorganisms (pathogens) and toxic metals represent three major agents of water quality deterioration. Water quality of three northern lakes (Sardis, Enid, and Grenada) and a central lake (Ross Barnett Reservoir) of Mississippi, USA were examined in this study. While all these lakes are heavily used for recreational purposes, the Ross Barnett Reservoir serves additionally as the primary water supply for the City of Jackson, the capital city of Mississippi. The main goal of this study was to comprehensively assess the water quality of these lakes employing field and satellite data, and evaluate the potential human and aquatic health impacts. A time-series of true color images derived from satellite data indicated that algal blooms have been a recurring phenomenon in these lakes. Cyanobacteria, the algal group that predominantly occur in freshwater and form toxic blooms, were always present in these lakes and were most abundant on many occasions. The most toxic cyanotoxin, microcystin-LR, was found in all OPEN ACCESSWater 2015, 7 5000 lakes, and its concentrations exceeded federal drinking water guidelines for children under six years of age many times. Potential bioaccumulation and biomagnification of microcystin-LR may pose serious risk to the aquatic ecosystem and human health including adults. Nutrient measurements indicated that all four lakes were eutrophic. Among bacterial populations, total coliforms and enterococci exceeded guideline values on several occasions. Arsenic, cadmium, chromium, and lead were found in the water of all the lakes, with arsenic exceeding the guideline values at two sites in Ross Barnett Reservoir. While it is apparent from this study that these lakes face many water quality issues, data across all seasons will be required to document potential trends and to devise management strategies. Use of remote sensing technology is recommended to monitor some of the water quality parameters such as suspended particulate matter and algal blooms, especially cyanobacterial blooms.

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“…Rayleigh reflectance is calculated using expressions from (GORDON, et al, 1988) and (DASH, et al, 2012): (13) where is the Fresnel reflectance for the angle , is the Rayleigh scattering phase function, b is band identifier and is the optical thickness of the atmosphere in band b.…”

Section: A2 Correcting For Rayleigh Scatteringmentioning

confidence: 99%

Monitoring the eutrophication using Landsat 8 in the Boka Kotorska Bay

Đurović

Joksimović

et al. 2018

Acta Adriat. (Online)

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Ova studija predlaže metodologiju za nadgledanje koncentracija klorofila-a i eutrofičnog stanja u malim zalivima ili u blizini obale. Ova vrsta nadgledanja je zanimljiva jer uobičajena satelitska metodologija, bazirana na MODIS satelitu, nije funkcionalna u ovim oblastima zbog nedovoljne prostorne rezolucije senzora. U ovom radu je predstavljen pristup procjeni koncentracija klorofila-a baziran na Landsat 8 satelitskim snimcima i mjerenjima koncentracije obavljenim na određenim lokacijama na dan prelijetanja satelita. Dodatno, dva klasifikatora stanja (dnevni i godišnji) eutrofikacije, koji koriste određene koncentracije, su također prikazani. Preciznost predloženih metoda je procijenjena koristeći „leave-one-out“ unakrsnu validaciju, te rezultati pokazuju da je preciznost unutar teoretskih limita metoda baziranih na Ladsat 8 satelitu. Rezultati klasifikatora upoređeni su sa mjerenjima na terenu i pokazuju da je dnevni klasifikator u mogućnosti da klasificira oblast od interesa sa manje of 2% pogreški.

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Atmospheric Correction and Vicarious Calibration of Oceansat-1 Ocean Color Monitor (OCM) Data in Coastal Case 2 Waters

Cited by 24 publications

References 32 publications

Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water

Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water

Water Quality of Four Major Lakes in Mississippi, USA: Impacts on Human and Aquatic Ecosystem Health

Monitoring the eutrophication using Landsat 8 in the Boka Kotorska Bay

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