Remote sensing retrieval for chlorophyll-a concentration in turbid case II waters (II): application on MERIS image

JIANG Guang-Jia; ZHOU Lin; MA Rong-Hua; DUAN Hong-Tao; SHANG Lin-Lin; RAO Jia-Wang; ZHAO Chen-Lu

doi:10.3724/sp.j.1010.2013.00372

[1] Ritchie J C, Cooper C M, Schiebe F R. The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi ［J］. Remote Sensing of Environment, 1990, 33(2): 137-148.

[2] Zhang Y, Koponen S, Pulliainen J, et al. Application of an empirical neural network to surface water quality estimation in the Gulf of Finland using combined optical data and microwave data ［J］. Remote Sensing of Environment, 2002, 81(2-3): 327-336.

[4] Kutser T. Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing ［J］. Limnology and Oceanography, 2004, 49(6): 2179-2189.

[6] Giardino C, Pepe M, Brivio P A, et al. Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery ［J］. Science of the Total Environment, 2001, 268(1-3): 19-29.

[9] Bezy J L, Delwart S, Rast M. MERIS – a new generation of ocean-colour sensor onboard Envisat ［J］. ESA Bull-Eur. Space, 2000, 103: 48-56.

[12] Carder K L, Chen F R, Lee Z P, et al. Semianalytic moderate-resolution imaging spectrometer algorithms for chlorophyll a and absorption with bio-optical domains based on nitrate-depletion temperatures ［J］. Journal of Geophysical Research, 1999, 104(C3): 5403-5421.

[19] Morel A, Prieur L. Analysis of variations in ocean color ［J］. Limnology and Oceanography, 1977, 22(4): 709-722.

[20] Dekker A G. Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing ［D］. Doctorate Thesis Earth and Life Sciences, Amsterdam: Vrijie University. 1993: 10-13.

[21] Gordon H R, Brown O B, Jacobs M M. Computed relationship between the inherent and apparent optical properties of a flat homogeneous ocean ［J］. Applied Optics, 1975, 14(2): 417-427.