Performance evaluation of operational atmospheric correction algorithms over the East China Seas

Shuangyan He; Mingxia He; Jürgen Fischer

doi:10.1007/s00343-016-5170-6

Your Location：

Home >

Browse articles >

Performance evaluation of operational atmospheric correction algorithms over the East China Seas

Updated：2023-05-16

- Performance evaluation of operational atmospheric correction algorithms over the East China Seas
- Journal of Oceanology and Limnology Vol. 35, Issue 1, Pages: 1-22(2017)
- Affiliations：
  
  1. Ocean Remote Sensing Institute Ocean University of China
  2. Institute for Space Sciences Freie Universität Berlin
  3. Ocean College Zhejiang University
- Author bio：
- Funds：
- DOI：10.1007/s00343-016-5170-6
  CLC：
- Online First：21 April 2016，
  
  Published：2017
- Accepted：
Scan QR Code
He, S., He, M. & Fischer, J. Performance evaluation of operational atmospheric correction algorithms over the East China Seas., Chin. J. Ocean. Limnol. 35, 1–22 (2017). https://doi.org/10.1007/s00343-016-5170-6
DOI：

He, S., He, M. & Fischer, J. Performance evaluation of operational atmospheric correction algorithms over the East China Seas., Chin. J. Ocean. Limnol. 35, 1–22 (2017). https://doi.org/10.1007/s00343-016-5170-6 DOI：

摘要

Abstract

To acquire high-quality operational data products for Chinese in-orbit and scheduled ocean color sensors

the performances of two operational atmospheric correction (AC) algorithms (ESA MEGS 7.4.1 and NASA SeaDAS 6.1) were evaluated over the East China Seas (ECS) using MERIS data. The spectral remote sensing reflectance R rs(λ)

aerosol optical thickness (AOT)

and Ångström exponent (α) retrieved using the two algorithms were validated using in situ measurements obtained between May 2002 and October 2009. Match-ups of R rs

AOT

and α between the in situ and MERIS data were obtained through strict exclusion criteria. Statistical analysis of R rs(λ) showed a mean percentage difference (MPD) of 9%–13% in the 490–560 nm spectral range

and significant overestimation was observed at 413 nm (MPD>72%). The AOTs were overestimated (MPD>32%)

and although the ESA algorithm outperformed the NASA algorithm in the blue-green bands

the situation was reversed in the red-near-infrared bands. The value of α was obviously underestimated by the ESA algorithm (MPD=41%) but not by the NASA algorithm (MPD=35%). To clarify why the NASA algorithm performed better in the retrieval of α

scatter plots of the α single scattering albedo (SSA) density were prepared. These α-SSA density scatter plots showed that the applicability of the aerosol models used by the NASA algorithm over the ECS is better than that used by the ESA algorithm

although neither aerosol model is suitable for the ECS region. The results of this study provide a reference to both data users and data agencies regarding the use of operational data products and the investigation into the improvement of current AC schemes over the ECS.

关键词

Keywords

references

Ahmad Z, Franz B A, McClain C R, Kwiatkowska E J, Werdell J, Shettle E P, Holben B N. 2010. New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans. Applied Optics, 49 (29): 5545–5560.

Aiken J, Fishwick J R, Lavender S, Barlow R, Moore G F, Sessions H, Bernard S, Ras J, Hardman-Mountford N J. 2007. Validation of MERIS reflectance and chlorophyll during the BENCAL cruise Octobe. 2002. preliminary validation of new demonstration products for phytoplankton functional types and photosynthetic parameters. International Journal of Remote Sensing, 28 (3-3): 497–516.

Ångström A. 1929. On the atmospheric transmission of sun radiation and on dust in the air. Geografiska Annaler, 11: 156–166.

Antoine D, D’Ortenzio F, Hooker S B, Bécu G, Gentili B, Tailliez D, Scott A J. 2008. Assessment of uncertainty in the ocean reflectance determined by three satellite ocean color sensors (MERIS, SeaWiFS and MODIS-A) at an offshore site in the Mediterranean Sea (BOUSSOLE project). Journal of Geophysical Research, 113 (C7), http://dx.doi.org/10.1029/2007JC004472.

Antoine D, Morel A. 1998. Relative importance of multiple scattering by air molecules and aerosols in forming the atmospheric path radiance in the visible and near-infrared parts of the spectrum. Applied Optics, 37 (12): 2245–2259.

Antoine D, Morel A. 1999. A multiple scattering algorithm for atmospheric correction of remotely sensed ocean colour (MERIS instrument): principle and implementation for atmospheres carrying various aerosols including absorbing ones. International Journal of Remote Sensing, 20 (9): 1875–1916.

Austin R W, Petzold T J. 1984). Spectral dependence of the diffuse attenuation coefficient of light in ocean waters. In: Proceedings of the SPI. 0489. Ocean Optics VII. SPIE, Monterey. p.168–178.

Bailey S W, Franz B A, Werdell P J. 2010. Estimation of nearinfrared water-leaving reflectance for satellite ocean color data processing. Optics Express, 18 (7): 7521–7527.

Bailey S W, McClain C R, Werdell P J, Schieber B D. 2000). Normalized water-leaving radiance and chlorophyll a match-up analysis. In: Hooker S B, Firestone E R eds. SeaWiFS Postlaunch Calibration and Validation Analyses, Part 2, NASA Technical Memorandum 1999-206892. National Goddard Space Flight Center, Greenbelt, MD.

Bailey S W, Wang M. 2001). Satellite aerosol optical thickness match-up procedures. In: Fargion G S, Barnes R, McClain C eds. In Situ Aerosol Optical Thickness Collected by the SIMBIOS Program (1997-2000): Protocols, and Data QC and Analysis. NASA Technical Memorandum 2001-209982. NASA Goddard Space Flight Center, Greenbelt. p.70–72.

Bailey S W, Werdell P J. 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sensing of Environment, 102 (1-3): 12–23.

Bulgarelli B, Mélin F, Zibordi G. 2003. SeaWiFS-derived products in the Baltic Sea: Performance analysis of a simple atmospheric correction algorithm. Oceanologia, 45 (4): 655–677.

Cui T W, Zhang J, Groom S, Sun L, Smyth T, Sathyendranath S. 2010. Validation of MERIS ocean-color products in the Bohai Sea: a case study for turbid coastal waters. Remote Sensing of Environment, 114 (10): 2326–2336.

Dubovik O, Holben B N, Lapyonok T, Sinyuk A, Mishchenko M I, Yang P, Slutsker I. 2002. Non-spherical aerosol retrieval method employing light scattering by spheroids. Geophysical Research Letters, 29 (10), http://dx.doi. org/10.1029/2001GL014506.

Dubovik O, King M D. 2000. A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. Journal of Geophysical Research, 105 (D16): 20673–20696.

Dubovik O, Sinyuk A, Lapyonok T, Holben B N, Mishchenko M, Yang P, Eck T F, Volten H, Muño O, Veihelmann B, van der Zande W J, Leon J F, Sorokin M, Slutsker I. 2006. Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. Journal of Geophysical Research, 111 (D11), http://dx.doi. org/10.1029/2005JD006619.

Dubovik O, Smirnov A, Holben B N, King M D, Kaufman Y J, Eck T F, Slutsker I. 2000. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements. Journal of Geophysical Research, 105 (D8): 9791–9806, http://dx.doi.org/10.1029/2000JD900040.

Esaias W E, Abbott M R, Barton I, Brown O B, Campbell J W, Carder K L, Clark D K, Evans R H, Hoge F E, Gordon H R, Balch W M, Letelier R, Minnett P J. 1998. An overview of MODIS capabilities for ocean science observations. IEEE Transactions on Geoscience and Remote Sensing, 36 (4): 1250–1265.

Fukushima H, Toratani M. 1997. Asian dust aerosol: optical effect on satellite ocean color signal and a scheme of its correction. Journal of Geophysical Research, 102 (D14): 17119–17130.

Gordon H R, Castaño D J. 1987. Coastal Zone Color Scanner atmospheric correction algorithm: multiple scattering effects. Applied Optics, 26 (11): 2111–2122.

Gordon H R, Castañ D J. 1989. Aerosol analysis with the Coastal Zone Color Scanner: a simple method for including multiple scattering effects. Applied Optics, 28 (7): 1320–1326.

Gordon H R, Du T, Zhang T M. 1997. Remote sensing of ocean color and aerosol properties: resolving the issue of aerosol absorption. Applied Optics, 36 (33): 8670–8684.

Gordon H R, Wang M H. 1994a. Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. Applied Optics, 33 (3): 443–452.

Gordon H R, Wang M H. 1994b. Influence of oceanic whitecaps on atmospheric correction of ocean-color sensors. Applied Optics, 33 (33): 7754–7763.

Gordon H R. 1978. Removal of atmospheric effects from satellite imagery of the oceans. Applied Optics, 17 (10): 1631–1636.

He M X, Liu Z S, Du K P, Li L P, Chen R, Carder K L, Lee Z P. 2000. Retrieval of Chlorophyll from remote-sensing reflectance in the China seas. Applied Optics, 39 (15): 2467–2474.

He M X., He S, Hu L, Wang Y, Yang Q, Zhang T, Chen W, Fischer J, Lee Z-P, Hu C. 2007. MERIS Performance in the East China Seas: Evaluation of atmospheric correction and optical inversion algorithms. ESA Special Publication SP-636. https://earth.esa.int/envisatsymposium/proceedings/sessions/4E3/462529he.pdf

He S, Fischer J, Schaale M, He M X. 2014. Optical closure of parameterized bio-optical relationships. Chinese Journal of Oceanology and Limnology, 32 (2): 480–489.

He X, Pan D, Bai Y, Zhu Q, Gong F. 2011. Evaluation of the aerosol models for SeaWiFS and MODIS by AERONET data over open oceans. Applied Optics, 50 (22): 4353–4364.

Holben B N, Eck T F, Slutsker I, Tanré D, Buis J P, Setzer A, Vermote E, Reagan J A, Kaufman Y J, Nakajima T, Lavenu F, Jankowiak I, Smirnov A. 1998. AERONET-A federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66 (1): 1–16.

Hooker S B, Esaias W E, Feldman G C, Gregg W W, McClain C R. 1992). An overview of SeaWiFS and ocean color. In: Hooker S B, Firestone E R eds. NASA Technical Memorandum 104566, Vol. 1. NASA Goddard Space Flight Center, Greenbelt, Maryland.

Hooker S B, Esaias W E. 1993. An overview of the SeaWiFS Project. Eos, Transactions American Geophysical Union, 74 (21): 241–246.

Hu C M, Carder K L, Muller-Karger F E. 2000. Atmospheric correction of SeaWiFS imagery over turbid coastal waters: a practical method. Remote Sensing of Environment, 74 (2): 195–206.

IOCCG. 2010). Atmospheric Correction for Remotely-Sensed Ocean-Colour Products. In: Wang M ed. Reports of the International Ocean-Colour Coordinating Group, No. 10. IOCCG, Dartmouth, Canada. 78p.

Jamet C, Loisel H, Kuchinke C P, Ruddick K, Zibordi G, Feng H. 2011. Comparison of three SeaWiFS atmospheric correction algorithms for turbid waters using AERONETOC measurements. Remote Sensing of Environment, 115 (8): 1955–1965.

Kaufman Y J, Gobbi G P, Koren I. 2006. Aerosol climatology using a tunable spectral variability cloud screening of AERONET data. Geophysical Research Letters, 33 (7), http://dx.doi.org/10.1029/2005GL025478.

Khatri P, Takamura T. 2009. An algorithm to screen cloudaffected data for sky radiometer data analysis. Journal of the Meteorological Society of Japan. Ser. II, 87 (1): 189–204.

Kuchinke C P, Gordon H R, Franz B A. 2009. Spectral optimization for constituent retrieval in Case 2 waters I: implementation and performance. Remote Sensing of Environment, 113 (3): 571–587.

Lavender S J, Pinkerton M H, Moore G F, Aiken J, Blondeau-Patissier D. 2005. Modification to the atmospheric correction of SeaWiFS ocean colour images over turbid waters. Continental Shelf Research, 25 (4): 539–555.

Lee Z P, Arnone R, Hu C M, Werdell P J, Lubac B. 2010. Uncertainties of optical parameters and their propagations in an analytical ocean color inversion algorithm. Applied Optics, 49 (3): 369–381.

Li D, Chen W. 2010. Comparison of remote sensing aerosol optical depth from MODIS data with in-situ sky radiometer observations over East China Sea. Acta Optica Sinica, 30 (10): 2828–2836. (in Chinese with English abstract)

Li L P, Fukushima H, Frouin R, Mitchell B G, He M X, Uno I, Takamura T, Ohta S. 2003. Influence of submicron absorptive aerosol on Sea-viewing Wide Field-of-view Sensor (SeaWiFS)-derived marine reflectance during Aerosol Characterization Experiment (ACE)-Asia. Journal of Geophysical Research, 108 (D15), http://dx. doi.org/10.1029/2002JD002776.

Long C N, Ackerman T P. 2000. Identification of clear skies from broadband pyranometer measurements and calculation of downwelling shortwave cloud effects. Journal of Geophysical Research, 105 (D12): 15609–15626, http://dx.doi.org/10.1029/2000JD900077.

Mélin F, Clerici M, Zibordi G, Holben B N, Smirnov A. 2010. Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data. Remote Sensing of Environment, 114 (2): 230–250.

Mélin F, Zibordi G, Berthon J F. 2003. Assessment of SeaWiFS atmospheric and marine products for the Northern Adriatic Sea. IEEE Transactions on Geoscience and Remote Sensing, 41 (3): 548–558.

Mélin F, Zibordi G, Berthon J F. 2007. Assessment of satellite ocean color products at a coastal site. Remote Sensing of Environment, 110 (2): 192–215.

Mobley C D. 1994. Light and Water: Radiative Transfer in Natural Waters. Academic Press, San Diego. 592p.

Moore G F, Aiken J, Lavender S J. 1999. The atmospheric correction of water colour and the quantitative retrieval of suspended particulate matter in Case II waters: application to MERIS. International Journal of Remote Sensing, 20 (9): 1713–1733.

Morel A. 1988. Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters). Journal of Geophysical Research, 93 (C9): 10749–10768.

Moulin C, Gordon H R, Banzon V F, Evans R H. 2001. Assessment of Saharan dust absorption in the visible from SeaWiFS imagery. Journal of Geophysical Research, 106 (D16): 18239–18249, http://dx.doi.org/10.1029/2000JD900812.

Mueller J L, Austin R W. 1992). Ocean Optics Protocols. In: Hooker S B, Firestone E R eds. NASA Tech. Memo. 104566, Vol. 5. NASA Goddard Space Flight Center, Greenbelt, Maryland.

Nakajima T, Tonna G, Rao R Z, Boi P, Kaufman Y, Holben B. 1996. Use of sky brightness measurements from ground for remote sensing of particulate polydispersions. Applied Optics, 35 (15): 2672–2686.

Nobileau D, Antoine D. 2005. Detection of blue-absorbing aerosols using near infrared and visible (ocean color) remote sensing observations. Remote Sensing of Environment, 95 (3): 368–387.

Ohde T, Siegel H, Gerth M. 2007. Validation of MERIS Level-2 products in the Baltic Sea, the Namibian coastal area and the Atlantic Ocean. International Journal of Remote Sensing, 28 (3-3): 609–624.

O'Neill N T, Eck T F, Smirnov A, Holben B N, Thulasiraman S. 2003. Spectral discrimination of coarse and fine mode optical depth. Journal of Geophysical Research, 108 (D17): 4559, http://dx.doi.org/10.1029/2002JD002975.

Pinkerton M H, Lavender S J, Aiken J. 2003. Validation of SeaWiFS ocean color satellite data using a moored databuoy. Journal of Geophysical Research, 108 (C5): 3133, http://dx.doi.org/10.1029/2002JC001337.

Preisendorfer R W, Mobley C D. 1986. Albedos and glitter patterns of a wind-roughened sea surface. Journal of Physical Oceanography, 16 (7): 1293–1316.

Quinn P K, Coffman D J, Bates T S, Welton E J, Covert D S, Miller T L, Johnson J E, Maria S, Russell L, Arimoto R, Carrico C M, Rood M J, Anderson J. 2004. Aerosol optical properties measured on board the Ronald H. Brown during ACE-Asia as a function of aerosol chemical composition and source region. Journal of Geophysical Research, 109 (D19), http://dx.doi.org/10.1029/2003JD004010.

Ransibrahmanakul V, Stumpf R P. 2006. Correcting ocean colour reflectance for absorbing aerosols. International Journal of Remote Sensing, 27 (9): 1759–1774.

Rast M, Bézy J L, Bruzzi S. 1999. The ESA Medium Resolution Imaging Spectrometer MERIS a review of the instrument and its mission. International Journal of Remote Sensing, 20 (9): 1681–1702.

Ruddick K G, Ovidio F, Rijkeboer M. 2000. Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters. Applied Optics, 39 (6): 897–912.

Salomonson V V, Barnes W L, Maymon P W, Montgomery H E, Ostrow H. 1989. MODIS: advanced facility instrument for studies of the Earth as a system. IEEE Transactions on Geoscience and Remote Sensing, 27 (2): 145–152.

Santer R, Carrere V, Dubuisson P, Roger J C. 1999. Atmospheric correction over land for MERIS. International Journal of Remote Sensing, 20 (9): 1819–1840.

Shettle E P, Fenn R W. 1979. Models for the aerosols for the lower atmosphere and the effects of humidity variations on their optical properties. Environmental Research Paper No. 676, AFGL-TR-79-0214, Airforce Geophysics Laboratory.

Siegel D A, Wang M H, Maritorena S, Robinson W. 2000. Atmospheric correction of satellite ocean color imagery: the black pixel assumption. Applied Optics, 39 (21): 3582–3591.

Smirnov A, Holben B N, Eck T F, Dubovik O, Slutsker I. 2000. Cloud-screening and quality control algorithms for the AERONET database. Remote Sensing of Environment, 73 (3): 337–349.

Sørensen K, Aas E, Høkedal J. 2007. Validation of MERIS water products and bio-optical relationships in the Skagerrak. International Journal of Remote Sensing, 28 (3-3): 555–568.

Stumpf R P, Arnone R A, Gould Jr R W, Martinolich P M, Ransibrahmanakul V. 2003. A partially-coupled oceanatmosphere model for retrieval of water-leaving radiance from SeaWiFS in coastal waters. In: 2003: Algorithm updates for the fourth SeaWiFS data reprocessing. NASA Tech. Memo. 2003-206892, vol. 22. Hooker S B, Firestone E R eds. NASA Goddard Space Flight Center, Greenbelt, Maryland.

Sun L, Guo M H, Wang X M. 2010. Ocean color products retrieval and validation around China coast with MODIS. Acta Oceanologica Sinica, 29 (4): 21–27.

Sun L, Wang X M, Guo M H, Tang J W. 2009. MODIS ocean color product validation around the Yellow Sea and East China Sea. Journal of Lake Science, 21 (2): 298–306. (in Chinese with English abstract)

Wang M H, Knobelspiesse K D, McClain C R. 2005. Study of the Sea-viewing Wide Field-of-View Sensor (SeaWiFS) aerosol optical property data over ocean in combination with the ocean color products. Journal of Geophysical Research, 110 (D10), http://dx.doi.org/10.1029/ 2004JD004950.

Wang M H, Shi W. 2005. Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: two case studies. Geophysical Research Letters, 32 (L13), http://dx.doi.org/10.1029/ 2005GL022917.

Wang M H, Son S, Shi W. 2009. Evaluation of MODIS SWIR and NIR-SWIR atmospheric correction algorithms using SeaBASS data. Remote Sensing of Environment, 113 (3): 635–644.

Wang M H, Tang J W, Shi W. 2007. MODIS-derived ocean color products along the China east coastal region. Geophysical Research Letters, 34 (6), http://dx.doi.org/ 10.1029/2006GL028599.

Wang M, Bailey S, Pietras C, McClain C R, Riley T. 2000). SeaWiFS aerosol optical thickness matchup analyses. In: NASA Technical Memorandum, 2000-206892, SeaWiFS Postlaunch Tech. Rep. Series, 10. NASA Goddard Space Flight Center,Greenbelt. p.39–44.

Werdell P J, Bailey S, Fargion G, Pietras C, Knobelspiesse K, Feldman G, McClain C. 2003. Unique data repository facilitates ocean color satellite validation. Eos, Transactions American Geophysical Union, 84 (38): 377–387.

World Climate Research Program (WCRP). 1986. A preliminary cloudless standard atmosphere for radiation computation. International Association for Meteorology and Atmospheric Physics, Radiation Commission. World Meteorological Organization, Boulder, CO, USA.

Zhang M W, Tang J W, Dong Q, Song Q T, Ding J. 2010. Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery. Remote Sensing of Environment, 114 (2): 392–403.

Zibordi G, Mélin F, Berthon J F. 2006. Comparison of SeaWiFS, MODIS and MERIS radiometric products at a coastal site. Geophysical Research Letters, 33 (6), http:// dx.doi.org/10.1029/2006GL025778.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Optical closure of parameterized bio-optical relationships

Extracting ship and heading from Sentinel-2 images using convolutional neural networks with point and vector learning

Monitoring discharge from deep-sea mining ships via optical satellite observations

Spatial and temporal variation of water clarity in typical reservoirs in the Beijing-Tianjin-Hebei region observed by GF1-WFV satellite data

Examining the evolution of tidal creeks in the Huanghe River delta using multi-temporal Landsat images

Related Author

Michael Schaale

Ming-xia He

Xiunan LI

Peng CHEN

Jingsong YANG

Wentao AN

Dan LUO

Gang ZHENG

Related Institution

Ocean College, Zhejiang University

State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources

National Satellite Ocean Application Service, Ministry of Natural Resources

International Institute for Earth System Science, Collaborative Innovation Center for the South Sea Studies, Nanjing University

Second Institute of Oceanography, Ministry of Natural Resources

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰