New enhancements to Ocean Content in the Living Atlas of the WorldThe Living Atlas team is excited about the most recent ocean content release.* With 1 new service and significant enhancements to 7 additional services this update improves performance and expands analytical capabilities. The new and updated services include:
Distance to Coast (new)
Distance from Shore (updated)
Seafloor Aragonite (updated)
Seafloor Bathymetry (updated)
Seafloor Dissolved Oxygen (updated)
Seafloor Salinity (updated)
Seafloor Silicate (updated)
Seafloor Temperature (updated)
Enhancements and Explanations
Raster Functions:* This release adds raster functions to many of the ocean services. When you publish an image service you can define functions that are applied by the server on the fly when requested by a client application. To learn more, see Server-side processing with raster functions.
This release of Oceans Content includes the following functions:
Aspect Function
For more information on raster functions and raster function templates please see the following links:
http://server.arcgis.com/en/server/latest/publish-services/linux/server-side-raster-functions.htm
Below is a listing of the services and associated raster functions.
Distance from Shore
LERC—Limited Error Raster Compression (LERC) is an efficient lossy compression method recommended for single-band or elevation data with a large pixel depth, such as float, 32-bit, 16-bit, or 12-bit data. LERC compresses 5 to 10 times better and 5 to 10 times faster than LZ77 for float data. LERC is also better with integer data. When using integer data, and the error limit specified is 0.99 or less, LERC is considered a lossless compression.
http://server.arcgis.com/en/server/.../available-map-and-image-cache-properties.htm
https://github.com/Esri/lerc
In previous releases the data had been converted from 32bit to 16bit and then a value attribute table (VAT) was built to support querying as well as color mapping.* This made the service slow when loading in a map.* This also had drawbacks for analysis as the pixel values did not represent the actual data values which were stored in the VAT.
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Distance to Coast (new)
Distance from Shore (updated)
Seafloor Aragonite (updated)
Seafloor Bathymetry (updated)
Seafloor Dissolved Oxygen (updated)
Seafloor Salinity (updated)
Seafloor Silicate (updated)
Seafloor Temperature (updated)
Enhancements and Explanations
Raster Functions:* This release adds raster functions to many of the ocean services. When you publish an image service you can define functions that are applied by the server on the fly when requested by a client application. To learn more, see Server-side processing with raster functions.
This release of Oceans Content includes the following functions:
Aspect Function
- This server-side function will apply an on-the-fly process to the input elevation values to identify the downslope direction of the maximum rate of change in value from each cell to its neighbors (aspect).
- This server-side function will apply an on-the-fly process to the input elevation values to generate a single band grayscale hillshade.
- This server-side function will apply an on-the-fly process to the input elevation values to calculate the rate of change of elevation, or slope in degrees for each DEM cell.
- This server-side function will apply an on-the-fly process to the input depth values to convert the units from meters to feet.
- This server-side function will apply an on-the-fly process to the input temperature values to convert the units from Celsius to Fahrenheit.
- This server-side function will apply an on-the-fly process to the input temperature values to convert the units from Celsius to Kelvin.
- This server-side function will apply an on-the-fly process to the input distance values to convert the units from kilometers to miles.
- This server-side function will apply an on-the-fly process to transform the pixel values to display the raster data as a red, green, blue (RGB) image, based on a predefined color ramp.
- This server-side function will apply an on-the-fly process to transform the pixel values to display the raster data as a red, green, blue (RGB) image, based on a predefined color classification.
For more information on raster functions and raster function templates please see the following links:
http://server.arcgis.com/en/server/latest/publish-services/linux/server-side-raster-functions.htm
Below is a listing of the services and associated raster functions.
Distance from Shore
- Unit Conversion – kilometers to miles
- Cartographic Renderer
- Classified Renderer
- Unit Conversion – kilometers to miles
- Cartographic Renderer
- Classified Renderer
- Cartographic Renderer
- Unit Conversion – meters to feet
- Cartographic Renderer
- Aspect
- Slope
- Hillshade
- Cartographic Renderer
- Cartographic Renderer
- Cartographic Renderer
- Cartographic Renderer
- Unit Conversion – Celsius to Fahrenheit
- Unit Conversion – Celsius to Kelvin
LERC—Limited Error Raster Compression (LERC) is an efficient lossy compression method recommended for single-band or elevation data with a large pixel depth, such as float, 32-bit, 16-bit, or 12-bit data. LERC compresses 5 to 10 times better and 5 to 10 times faster than LZ77 for float data. LERC is also better with integer data. When using integer data, and the error limit specified is 0.99 or less, LERC is considered a lossless compression.
http://server.arcgis.com/en/server/.../available-map-and-image-cache-properties.htm
https://github.com/Esri/lerc
In previous releases the data had been converted from 32bit to 16bit and then a value attribute table (VAT) was built to support querying as well as color mapping.* This made the service slow when loading in a map.* This also had drawbacks for analysis as the pixel values did not represent the actual data values which were stored in the VAT.
- This third release has incorporated much of the user feedback for the Oceans2 image services.* We encourage you to continue providing feedback regarding use and performance and recommended enhancements.
- How do I Use? Combine content from the Living Atlas with your own data. Create powerful new maps and applications!
- How do I contribute? Join the growing community of Living Atlas of the World contributors. There are two ways to contribute!
- Learn more about the ready-to-use content that is available in the Living Atlas of the World, including how you can contribute your maps and data.
- Use Living Atlas Image Services in Your Desktop Analysis blog post
- Living Atlas Oceans Gallery
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