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Martin Rutherford Technical Director Oceanography and Meteorology Royal Australian Navy 28 May 2009 Processing and Displaying GHRSST data using ESRI ArcGIS.

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Presentation on theme: "Martin Rutherford Technical Director Oceanography and Meteorology Royal Australian Navy 28 May 2009 Processing and Displaying GHRSST data using ESRI ArcGIS."— Presentation transcript:

1 Martin Rutherford Technical Director Oceanography and Meteorology Royal Australian Navy 28 May 2009 Processing and Displaying GHRSST data using ESRI ArcGIS Desktop A Royal Australian Navy Perspective

2 Scope n RAN Use of GHRSST products n Processing and Displaying using ArcGIS Desktop n Geo-processing using Model Builder n Web Services

3 RAN Use of GHRSST Products n Safety -Protective clothing on upper deck -Immersion suits for pilots n Freedom of Manoeuvre - OTSR -SST gradients as proxy for currents n Tactical Implications -Acoustic propagation path -Ambient noise from currents, weather, fish and fishing -Submarine Self Noise n Model Validation

4 Why GIS and Web Services n Rich toolset for processing, display and dissemination n Interoperability through standards-based formats n Ability to layer products n Large and growing user community n Use of ESRI ArcGIS suite mandated by the Australian Defence Force

5 Processing and Displaying L4 Products n Download data from GDAC or LTSRF n Convert gridded netCDF to Raster -Creates SST(K) data layer n Convert units as required n Smooth as required n Contour n Display

6 Import as Raster layer

7 L4 SST(K)

8 Convert Units using Raster Calculator

9 Contour

10 Smooth

11 Processing and Displaying L2 Products n Download data from GDAC or LTSRF n Convert netCDF to Point Shapefile n Convert units in associated Table n Smooth as required n Contour n Display

12 Import as Point Features

13 Imported SST(K) Point Features

14 Display SST(K) as point features

15 Convert Units in Table

16 Convert Point Features to Raster

17 Contour

18 Zoom to Area of Interest

19 Geoprocessing Using Model Builder n All processing can be chained in a model n Run model from ArcGIS desktop session n Export model as executable script

20 Publishing GHRSST as a Web Service n Export geo-processing as python script n Add python ftp module n Export raster to geo-database n Publish raster as Web Map Service -Access from internet browser -Access from GIS client n Run as scheduled service n Option is to have data ftp ‘pushed’

21 L2P Gridded Products processed as L4

22 L2P Raster Displayed in ArcGlobe

23 Questions?


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