Ketter, Tomer

Madore, Brian

Pe\u27eri, Shachak

Tibor, Gideon

English

UNH Scholars' Repository

University of New HampshireUniversity of New Hampshire Scholars' RepositoryCenter for Coastal and Ocean Mapping Center for Coastal and Ocean Mapping3-2013Satellite-derived bathymetry of the Achziv coastalarea, northern IsraelShachak Pe'eriUniversity of New Hampshire, Durham, shachak.peeri@unh.eduGideon TiborIsrael Oceanographic and Limnological ResearchBrian MadoreUniversity of New Hampshire, DurhamTomer KetterIsrael Oceanographic and Limnological ResearchFollow this and additional works at: https://scholars.unh.edu/ccomPart of the Oceanography and Atmospheric Sciences and Meteorology CommonsThis Poster is brought to you for free and open access by the Center for Coastal and Ocean Mapping at University of New Hampshire Scholars'Repository. It has been accepted for inclusion in Center for Coastal and Ocean Mapping by an authorized administrator of University of NewHampshire Scholars' Repository. For more information, please contact nicole.hentz@unh.edu.Recommended CitationPe'eri, Shachak; Tibor, Gideon; Madore, Brian; and Ketter, Tomer, "Satellite-derived bathymetry of the Achziv coastal area, northernIsrael" (2013). Annual Meeting of the Israeli Association for Aquatic Sciences. 752.https://scholars.unh.edu/ccom/752Acknowledgements  UNH/CCOM participation was funded by UNH/NOAA Joint Hydrographic Center grant NA05NOS4001153. Satellite-derived bathymetry of the  Achziv coastal area, northern Israel  Abstract  Satellite-derived bathymetry provides a useful reconnaissance tool for hydrographic surveying offices in planning and implementing a prioritized survey program. Specific uses of the satellite-derived bathymetry include characterization of coastal areas and monitoring seafloor changes that have occurred since the last hydrographic survey. To be useful for hydrographic surveying offices in developing nations, the procedures must be based on readily-available data and software. In keeping with standard hydrographic surveying practice, the derived bathymetry must also be accompanied by uncertainty estimates. Recently a procedure was developed for the use of publicly-available, multispectral satellite imagery to map and portray shallow-water bathymetry in a GIS environment. Landsat imagery and published algorithms were used to derive estimates of the bathymetry in shallow waters. The most appropriate algorithm to derive bathymetry was determined in the study based on performance using different band combinations and spatial filters. This procedure was also applied over the coastal area of Achziv. The bathymetry will provide the first layer for the development of a coastal characterization procedure of the local benthic habitat. This study presents preliminary results of the satellite-derived bathymetry and a comparison with acoustic (multibeam echosounder) dataset. 2. Available resources 3. Procedure References  Stumpf, R. P., K. Holderied, and M. Sinclair. 2003. Determination of water depth with high-resolution satellite imagery over variable bottom types, Limnol. Oceanogr. 48:547–556. Pe’eri, S., C. Parrish, C. Azuike, L. Alexander, and A. Armstrong. 2013. Determination Satellite Remote Sensing as a Reconnaissance Tool for Assessing Nautical Chart Adequacy and Completeness, Mar. Geodesy, submitted.  4. Results 3.1 Land/water separation  It is possible to extract the water areas from the dry land using Near Infrared (NIR) band.  Shachak Pe’eri (shachak@ccom.unh.edu)1, Gideon Tibor2, Brian Madore1, and Tomer Ketter2 1Center for Coastal and Ocean Mapping University of New Hampshire Durham, NH 03824, USA 2Israel Oceanographic and Limnological Research, Tel-Shikmona, Haifa 31080, Israel 1. Goal Depth 0 m -40 m The histogram of the NIR band over a coastal area is bi-modal with two modes corresponding to land and water regions. 3.2 Applying water mask  A mask polygon of the submersed areas is used to extract only the water body from the Landsat imagery in the Green and Blue bands.  3.3 Bathymetric algorithm The Stumpf et al. (2003) was used to generate a bathymetric model using a Blue/Green band ratio.  Masked Blue band Masked Green band    3.4 Referencing the bathymetric model Using a statistical analysis, it is possible to reference the algorithm values to the chart’s datum.  Top part of the image shows the scatter plot of the algorithms results as a function of the chart sounding (Mean Sea Level, MSL). The bottom part of the image provides a possible explanation for the algorithm results and their relation to the optical depth of extinction at 17 m below MSL. Reference bathymetry (classified based on significant depths) System:  Kongsberg EM1002  Resolution: 2m Bands: Blue (450 to 520 nm), Green (530-610 nm) and NIR (780-900 nm) Resolution: 28.5 m 1.1  Generate a shallow water bathymetry for habitat mapping 5. Future directions Depth The shallow-water bathymetry will be used to estimate the water attenuation occurring in aerial and satellite imagery.  The satellite-derived bathymetry procedure is a useful reconnaissance tool deriving bathymetry and water clarity in the coastal region.  An additional benefit of the procedure is the possibility to generate a time-series that shows changes in bathymetry using multiple Landsat images. This is particularly useful for monitoring seafloor changes in the coastal environment.  The current  available bathymetry depicted from the chart is only on a scale of 1:100,000 and is based on  dated surveys. A seamless bathymetric map was generated based on satellite imagery and multibeam datasets (deeper than 4 m).  Lobs(λi), Lobs(λj)- band values  mo- gain  m1- offset    10 )(ln)(lnmLLmZjobsiobs Algorithm The core of the procedure is the Stumph et al. (2003) algorithm (more details are provided in Pe’eri et al. 2013): Reference bathymetry Landsat  7 imagery (May, 2002) Effectively, the bathymetry was mapped up to 17 m below MSL. Although the significant depth contour matched the reference bathymetry, with an overall average difference of 0.3 m. The standard deviation was relatively high (1σ = 2.4 m). Final satellite-derived  bathymetry model Contours of the derived model overlaid on the multibeam bathymetry  Depth Depth Depth Contour 5 m 10 m 15 m Nautical chart produced by the Survey of Israel, where the significant depth areas are colour coded (5, 10, and 15 m). Algorithm result 

Satellite-derived bathymetry of the Achziv coastal area, northern Israel

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Satellite-derived bathymetry of the Achziv coastal area, northern Israel

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