Studying Chlorophyll-A Concentration of Bosten Lake (Xinjiang, Northwest China) by MERIS Data

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Abstract:

The Chlorophyll-a (Chla) concentration in Bosten Lake was estimated and mapped using the data of the Medium Resolution Imaging Spectrometer (MERIS) on board the ENVIronmental SATellite (ENVISAT) platform. The fixed aerosol option was chosen and local aerosol optical thickness was used in SeaDAS. The Chla concentration was retrieved by the OC3E algorithm and verified by Field data with high correlation coefficient of 0.79. It showed strong horizontal heterogeneities, which is high at the Huangshuigou region, mediate along the boundary area, and low at the middle of the lake, and decreases from the boundary to the center of the Lake. Its spatial distribution is controlled by the location of inlet and outlet and the type and quantity of discharging around the lake. On sep. 22, 2010, its value is up to 10.98 mg m-3. The minimum, maximum, average and median value of Chla concentration on Aug. 6, 2011 from MERIS data in Bosten Lake is 2.72, 8.93, 3.90 and 3.69 mg m-3.

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Advanced Materials Research (Volumes 864-867)

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2750-2755

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. Wang, Y. Li, Y. Wang and Y. Tan. Arid zone research (In Chinese) Vol. 22(2005), pp.355-360.

Google Scholar

[2] H. Xu, Y. Chen, and W. Li. Journal of Arid Land Resources and Environment (In Chinese) Vol. 17 (2003), pp.95-97.

Google Scholar

[3] M. Sodergaard, S.E. Larsen, T.B. Jørgensen and E. Jeppesen. Ecological Indicators Vol. 11 (2011), pp.1403-1412.

Google Scholar

[4] E.J. Tebbs, J.J. Remedios and D.M. Harper. Remote Sensing of Environment Vol. 135 (2013), pp.92-106.

Google Scholar

[5] K.L. Carder, F.R. Chen, Z.P. Lee, S.K. Hawes and D. Kamykowski. Journal of Geophysical Research Vol. 104 (1999), pp.5403-5421.

Google Scholar

[6] S. Thiemann and H. Kaufman. Remote Sensing of Environment Vol. 73 (2000), pp.227-235.

Google Scholar

[7] T. Kutser. International Journal of Remote Sensing Vol. 30(2009), pp.4401-4425.

Google Scholar

[8] A.A. Gitelson, G. Dall'Olmo, W. Moses, D.C. Rundquist, T. Barrow, T. R. Fisher, D. Gurlin and J. Holz. Remote Sensing of Environment Vol. 112 (2008), pp.3582-3593.

DOI: 10.1016/j.rse.2008.04.015

Google Scholar

[9] C. Le, Y. Li, Y. Zha, D. Sun, C. Huang and H. Lu. Remote Sensing of Environment Vol. 113 (2009), pp.1175-1182.

Google Scholar

[10] Y. Zhang, S. Yang, Q. Zhao and Y. Zhang. Journal of Atmospheric and Environmental optics (In Chinese) Vol. 2 (2007), pp.38-43.

Google Scholar

[11] M. Wang , B.A. Franz, R.A. Barnes and C.R. McClain. Applied Optics Vol. 40 (2001), pp.343-348.

Google Scholar

[12] H.R. Gordon, J.W. Brown and R.H. Evans. Applied optics Vol. 27 (1988), pp.862-871.

Google Scholar

[13] J.E. O'Reilly and Coauthors. SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3, edited by S. B. Hooker and E. R. Firestone, SeaWiFS Postlaunch Tech. Rep. Ⅱ, NASA Goddard Space Flight Cent., Greenbelt, Md (2000), p.58.

Google Scholar

[14] Page, J. Prediction of solar radiation on inclined surfaces. Solar energy R & D in the European Community, series F, Solar radiation data, Dordrecht (D. Reidel), Vol. 3 (1986), pp.81-83.

Google Scholar

[15] C. Le, Y. Li, Y. Zha, D. Sun, C. Huang and H. Zhang. Remote Sensing of Environment Vol. 115 (2011), pp.725-737.

Google Scholar