Turbidity maximum in the macrotidal, highly turbid Humber ...
Shallow Water Bathymetry of Singapore’s Highly Turbid Coastal Waters: A Comparative Approach
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Transcript of Shallow Water Bathymetry of Singapore’s Highly Turbid Coastal Waters: A Comparative Approach
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Shallow Water Bathymetry of Singapore’s Highly Turbid Coastal Waters: A Comparative Approach
James F. Bramante, Durairaju Kumaran Raju, Sin Tsai Min
Tropical Marine Science Institute, National University of Singapore
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Purpose
• Determine effectiveness of multispectral algorithms in Singapore
• Determine how extra 4 bands may help
• Develop high resolution shallow-water bathymetric map
• Coral/Benthic Surveys• Interface into more complicated IOP models• Determine possible new benthic habitats
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Study Area
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Study Area (cont.)
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Marine EnvironmentStudy Area (cont.)
Wild Singapore
Seagrass-watch
Pulau Hantu
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Obstacles
• High turbidity
• Sediment plumes
• Few bathymetric data points in shallow waters
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Obstacles (cont.)
• High shipping traffic
• Abundant clouds
• Mixed aerosols from city and ocean
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Atmospheric Correction• Stock image (no concurrent field measurements)
• Access to atmospheric information limited
• Clear boundaries for cloud, shadowed, and deep ocean pixels
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Atmospheric Correction (cont.)
• Cloud-shadow empirical algorithm• Reinersman et al. (1998) and Lee et al. (2005)
Fig. 1 taken from Reinersman et al. (1998)
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Atmospheric Correction (cont.)
Dws
pathtw t
LLL
• General Equation:
• Cloud-Shadow Eq:
• Assumptions:
• Lee et al. simplification:
shpathnepath LL
nersdnewsnepathne REtLL
shrsdiffshwsshpathsh REtLL
shwsnews tt shrsners RR
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Atmospheric Correction (cont.)
d
diff
shnenepath
E
ELL
LL
1
)(• Path radiance:
• Reflectance:
• Water-air boundary correction:
rsCloudpathcloud
pathtrs R
LL
LLR
)(
rs
rsrs r
rR
562.11
518.0
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Atmospheric Correction (cont.)
0.05
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Band 2 (Blue) Average Radiance
Band 2 Atmospherically Corrected Reflectance
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Bathymetry Algorithms
• LUT Classification
• Linear Ratio Algorithm (Stumpf et al. 2003)
• Linear Band Algorithm (Lyzenga et al. 2006)
• Compared results using conventional 4 bands and Worldview-2’s 8 bands
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Bathymetry Algorithms (cont.)
• LUT Classification• LUT Library n = 53 for 0 < depth ≤ 2 m• Least squares comparison• Attempted ratio classification
8-band 4-band
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Bathymetry Algorithms (cont.)
• Linear Ratio• Based off of Beer’s law:
• Stumpf et al. 2003 : )ln(
)ln(ˆ1
rsHI
rsLOo nr
nrhhh
hWBWrs errrr )(
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Bathymetry Algorithms (cont.)
• Linear Band• Lyzenga et al. 2006 :
• Non-real results when LWCj > Lj
)ln( WCjjj LLX
N
j jjo Xhhh1
ˆ
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Results
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Results (cont.)
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Lyzenga et al. Algorithm Band Classification
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Results – Platform Comparison
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Results – Faulty Relationships
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Conclusions
• With more validation, Lyzenga et al. model and band classifications may prove useful in turbid waters
• Assumed relationship between band absorption and depth must be re-examined in extremely turbid waters
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Further Investigations• Evaluated cloud-shadow atmospheric correction model against RT Model; former was validated and did not affect results much
• Attempting to use water-column index to adjust for water mass variation in Lyzenga algorithm
• Using spectroradiometer to modify semi-analytical models for Singapore