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Nearshore depth derivation using World View-2 multispectral satellite imagery Julia Ehses & Russell Watkins PIFSC/CRED

GIS Expo 2014: Nearshore Depth Derivation Using World View-2 Multispectral Satellite Imagery

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Page 1: GIS Expo 2014: Nearshore Depth Derivation Using World View-2 Multispectral Satellite Imagery

Nearshore depth derivation using World View-2 multispectral satellite imagery

Julia Ehses & Russell Watkins PIFSC/CRED

Page 2: GIS Expo 2014: Nearshore Depth Derivation Using World View-2 Multispectral Satellite Imagery

Pacific Island Region

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Initial Study Site

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Image Preprocessing – Three steps are performed before deriving depths.

Step 1Data conversion - Digital number values are converted to top‐of‐atmosphere radiance/reflectance.

Step 2Masking - Non-aquatic and terrestrial areas including clouds, turbidity, breaking surf, and boats are removed from the image by creating an ocean mask.

Step 3Sea Surface corrections - Correction of sun glint in visible bands.

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Depth Derivation Method

1. Lyzenga's multiple linear regression analysis

2. Stumpf’s ratio method

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ResultsLiDAR

Lyzenga

Stumpf

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Lyzenga Stumpf

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Final Products are available for download at:

http://www.soest.hawaii.edu/pibhmc/pibhmc_mapping.htm

Products

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Conclusions

• WV-2 multispectral satellite imagery can be used to derive depths in water shallower than 20m.

• Best results are obtained over steep slopes and homogenous hard bottom.

• Shallow sandy substrate can lead to false depth values and reversed topography.

• Site-specific method modification is often required.

• Results are highly dependant upon the availability of quality ground control data and satellite imagery.

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Image Acquisition

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The 8 spectral bands of WorldView-2