GLI 250m ocean color product

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GLI 250m ocean GLI 250m ocean color product color product 1.GLI 250m channels 2.Algorithms 3.Sample images GLI Ocean group H. Murakami (JAXA/EORC)

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GLI 250m ocean color product. GLI 250m channels Algorithms Sample images. GLI Ocean group H. Murakami (JAXA/EORC). GLI 250m channels. GLI 250m bands are designed for the land monitoring. - PowerPoint PPT Presentation

Transcript of GLI 250m ocean color product

Page 1: GLI 250m ocean color product

GLI 250m ocean GLI 250m ocean color productcolor product

1.GLI 250m channels

2.Algorithms

3.Sample images

GLI Ocean groupH. Murakami (JAXA/EORC)

Page 2: GLI 250m ocean color product

GLI 250m channelsGLI 250m bands are designed for the land monitoring.

We processed 250m CH20, 21 and 23 instead of 1-km CH06, 09 and 18 by linear regressions (we will prepare actual 250m look-up tables soon).

chWave length

[nm]Dynamic range[W/m2/str/m]

SNR(input L)

20 462.4 691 241 (36)

21 542.1 585 141 (25)

22 661.3 115 (156) 255 (14)

23 824.1 210 (287) 218 (21)

28 1644.9 76 298 (5)

29 2193.8 32 160 (1.3)

Page 3: GLI 250m ocean color product

AlgorithmsAtmospheric correction:

Basically same algorithm is used in the 250-m processing except for,

– iteration is not applied

– Aerosol model number (not tau_a) is spatially averaged to reduce sensor noise.

In-water algorithm:

We use P-6 by B. G. Mitchell because only two bands are available from blue to green.

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Sample images

Images of nLw are very fine, because noise from atmospheric correction is minimized by the aerosol spatial averaging.

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Sample images

CHLA image looks somewhat noisy, because SNR levels of visible bands are lower than 1-km ocean color bands and band-ratio enlarge the noise.