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Mapping microphytobenthos in the intertidal zone of Northern ...

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Result<strong>in</strong>g Chl a maps (Figure 6) appear qualitatively correct but <strong>the</strong> retrieved concentration range seems to show an<br />

overestimation <strong>of</strong> Chl a based on our knowledge <strong>of</strong> <strong>the</strong> area. Unfortunately, it was impossible to validate <strong>the</strong>se<br />

concentrations because field samples collected at <strong>the</strong> time <strong>of</strong> <strong>the</strong> overflight were not properly frozen, prevent<strong>in</strong>g an<br />

accurate estimate <strong>of</strong> Chl a concentration.<br />

Figure 6. Chlorophyll a surface concentration maps derived from CASI data: a – “false color composite” (red: 865 nm; green:<br />

673 nm; blue: 489 nm); b – simple band ratio; c – normalized ratio; d – scaled band area.<br />

3.2.2. ROSIS<br />

As shown <strong>in</strong> Figure 7, regressions show a better fit than for CASI data. This is probably due to <strong>the</strong> fact that ROSIS<br />

spectral resolution is closer to field spectra resolution. All three approaches appear aga<strong>in</strong> equally robust (R 2 = 0.86).<br />

When applied to ROSIS images (Figure 8), as for CASI maps, Chl a spatial distribution is qualitatively correct but<br />

<strong>the</strong> concentration range is narrower.<br />

Validation through comparison with field samples (Table 2) shows a strong underestimation <strong>of</strong> Chl a concentration.<br />

This discrepancy could be expla<strong>in</strong>ed <strong>in</strong> part by <strong>the</strong> noise <strong>in</strong> <strong>the</strong> data, assumption which seems to be confirmed by<br />

<strong>the</strong> fact that <strong>the</strong> Scaled Band Area gives better results than <strong>the</strong> o<strong>the</strong>r approaches. Instrument calibration can also be<br />

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