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Working with Scientific Data using Mosaic Dataset

Working with Scientific Data using Mosaic Dataset. Hong Xu, Dan Zimble. Scientific Data. Data used in Ocean, Weather, Land, Atmosphere, and etc. Multidimensional Variables are captured in multiple times and depths Temperature / Time Salinity / Depth Pressure / Altitude

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Working with Scientific Data using Mosaic Dataset

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  1. Working with Scientific Data using Mosaic Dataset Hong Xu, Dan Zimble

  2. Scientific Data Data used in Ocean, Weather, Land, Atmosphere, and etc. • Multidimensional • Variables are captured in multiple times and depths • Temperature / Time • Salinity / Depth • Pressure / Altitude • Stored in multidimensional formats • netCDF (NetWork Common Data Format) • HDF (Hierarchical Data Format) • GRIB (General Regularly-distributed Information in Binary form) t = 7 Temperature t = 6 t = 5 longitude time Working with Scientific Data using Mosaic Dataset

  3. Multidimensional Mosaic Dataset Unified data model for multidimensional datain ArcGIS • Created with netCDF, GRIB, and HDF raster types • Define variables when adding data • Each row is a 2D raster with variable and dimension values Working with Scientific Data using Mosaic Dataset

  4. Multidimensional Mosaic Dataset- Aggregation Aggregate data spatially, in time and vertical dimension Working with Scientific Data using Mosaic Dataset

  5. Multidimensional Mosaic Dataset - Visualization • Visualize variables at any time and vertical dimension • Layer’s Multidimension tab • Visualize temporal change of a variable • Time slider • Visualize wind and ocean current • Vector Field Renderer • Wind barbs, Beaufort wind, Ocean current symbols Working with Scientific Data using Mosaic Dataset

  6. Multidimensional Mosaic Dataset – On-The-Fly Processing Model scientific phenomena using Raster Function Template (RFT) • RFT : a raster function template defines how to process raster • A scientific model = RFT • Windchill = 35.74 + 0.6215T - 35.75(V^0.16) + 0.4275T(V^0.16) • Produce analysis result on-the-fly • Set mosaic dataset properties • Use in adding raster data • RFT created with Function Template Editor • Raster functions • Variables • Group name field Working with Scientific Data using Mosaic Dataset

  7. Multidimensional Mosaic Dataset - Analysis Perform analysis using GP tools • Use a slice in a Geoprocessing tool • Mosaic dataset path\objectid=2 • Mosaic dataset path\Name=“elev” • Use Make Mosaic Layer tool • Select one or set of slices • Use mosaic method to get the statistics of a set of slices • Minimum, maximum, mean arcpy.gp.CellStatistics_sa(“md/ncom.nc:salinity:5;md/ncom:salinity:6;md/ncom:salinity:7", "C:/CellStats.tif", "MAXIMUM", "DATA") Working with Scientific Data using Mosaic Dataset

  8. Multidimensional Mosaic Dataset - Serving • Image services can be multidimensional • Published from multidimensional mosaic dataset • Aggregation, visualization, analysis and modeling • REST API • /ImageServer/multiDimensionInfo • /ImageServer/GetSamples • Support WMS time and elevation request • GetCapabilities • GetMap • Time=2012-10-17&Elevation=20 Working with Scientific Data using Mosaic Dataset

  9. Visualize Ocean Data NCOM stored in 6 netCDF files: Sea temperature Salinity Surface elevation Current (magnitude and directions) Working with Scientific Data using Mosaic Dataset

  10. Model with Weather Data NDFD (National Digital Forecast Data) daily forecast data in GRIB format: temperature wind speed relative humidity Raster Processing Templates: wind chill index heat index Fire weather forecast Working with Scientific Data using Mosaic Dataset

  11. Analyze with Land Data MODIS products in HDF format MCD12C1 (land cover) MOD13C2 (NDVI, EVI) Mosaic dataset and image service Land Cover (yearly, 1001-2012) EVI and EDVI (monthly, 2009-2014) Working with Scientific Data using Mosaic Dataset

  12. Thank you… Please fill out the session survey: First Offering ID: 1766 Online – www.esri.com/ucsessionsurveys Working with Scientific Data using Mosaic Dataset

  13. Working with Scientific Data using Mosaic Dataset

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