Shallow water bathymetry correction using sea bottom classification with multispectral satellite imagery

2017 ◽  
Author(s):  
Yoriko Kazama ◽  
Tomonori Yamamoto
Keyword(s):  
Shallow Water ◽  
Satellite Imagery ◽  
Sea Bottom ◽  
Multispectral Satellite Imagery ◽  
Bottom Classification

scholarly journals Generalized Lyzenga's Predictor of Shallow Water Depth for Multispectral Satellite Imagery

2013 ◽  
Vol 36 (4) ◽  
pp. 365-376 ◽  
Author(s):  
Ariyo Kanno ◽  
Yoji Tanaka ◽  
Akira Kurosawa ◽  
Masahiko Sekine
Keyword(s):  
Shallow Water ◽  
Satellite Imagery ◽  
Water Depth ◽  
Multispectral Satellite Imagery ◽  
Shallow Water Depth

scholarly journals The Prospect of Global Coral Reef Bathymetry by Combining Ice, Cloud, and Land Elevation Satellite-2 Altimetry With Multispectral Satellite Imagery

2021 ◽  
Vol 8 ◽  
Author(s):  
Arthur C. R. Gleason ◽  
Ross Smith ◽  
Sam J. Purkis ◽  
Kyle Goodrich ◽  
Alexandra Dempsey ◽  
...  
Keyword(s):  
Coral Reef ◽  
Shallow Water ◽  
Satellite Imagery ◽  
Calibration Data ◽  
Single Beam ◽  
Ice Cloud ◽  
Critical Data ◽  
Multispectral Satellite Imagery ◽  
Local Measurements ◽  
Data Gap

Empirical methods for estimating shallow-water bathymetry using passive multispectral satellite imagery are robust and globally applicable, in theory, but they require copious local measurements of water depth for algorithm calibration. Such calibration data have historically been unavailable for most locations, but NASA’s Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), a satellite-based LiDAR, might hold unique promise to fill this critical data gap. Although ICESat-2 was not designed as a marine altimeter, its ATLAS sensor consists of six green (532 nm) lasers that can penetrate a water surface and return photons reflected by the seabed, thereby generating bathymetric profiles. Utilizing TCarta’s NSF SBIR-funded Space-Based Laser Bathymetry Extraction Tool and ICESat-2’s ATL03 geolocated photon data product, we have compared ICESat-2 bathymetric retrievals with a portfolio of soundings acquired in situ using a vessel-mounted single-beam echosounder. This analysis demonstrated very high correlation (R2 = 0.96) between the field and space-based bathymetry data. The comparisons were made at multiple Caribbean and Pacific coral reef sites over water depths ranging from 1 to 20 m. Results suggest that ICESat-2 could be an effective approach for calibrating and validating empirical and radiative transfer methods, alike, for estimating shallow-water bathymetry from remote sensing imagery, thereby enabling the immediate potential for shallow-water bathymetric mapping of Earth’s reefs.

scholarly journals Shallow-Water Benthic Identification Using Multispectral Satellite Imagery: Investigation on the Effects of Improving Noise Correction Method and Spectral Cover

2014 ◽  
Vol 6 (5) ◽  
pp. 4454-4472 ◽  
Author(s):  
Masita Manessa ◽  
Ariyo Kanno ◽  
Masahiko Sekine ◽  
Eghbert Ampou ◽  
Nuryani Widagti ◽  
...  
Keyword(s):  
Shallow Water ◽  
Satellite Imagery ◽  
Correction Method ◽  
Spectral Cover ◽  
Multispectral Satellite Imagery ◽  
Noise Correction

Sea-bottom classification across a shallow-water bar channel and near-shore shelf, using single-beam acoustics

2005 ◽  
Vol 65 (4) ◽  
pp. 625-632 ◽  
Author(s):  
Rosa Freitas ◽  
Leandro Sampaio ◽  
Ana Maria Rodrigues ◽  
Victor Quintino
Keyword(s):  
Shallow Water ◽  
Single Beam ◽  
Sea Bottom ◽  
Near Shore ◽  
Bottom Classification
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