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John M. Huddleston, PhD Research Associate “Cooperative Institute for Research in the Atmosphere”

June 11, 2009 The Killer App. John M. Huddleston, PhD Research Associate “Cooperative Institute for Research in the Atmosphere”. Presentation Outline. Satellite data that we’ve acquired Images, KMZ, Spatial, and Tabular Current data access mechanisms SQL Server, ArcSDE, Flat File

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John M. Huddleston, PhD Research Associate “Cooperative Institute for Research in the Atmosphere”

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  1. June 11, 2009 The Killer App John M. Huddleston, PhD Research Associate “Cooperative Institute for Research in the Atmosphere”

  2. Presentation Outline • Satellite data that we’ve acquired • Images, KMZ, Spatial, and Tabular • Current data access mechanisms • SQL Server, ArcSDE, Flat File • Current visualization tools • MS Virtual Earth, Google Earth, Custom • Development activities • Web/Data Services Development 1st • Visualization Tool Development 2nd

  3. Satellite data that we’ve acquired • Tabular SQL Server Database • Soils STATSGO tabular data covering WGA western states • Spatial ArcSDE Database • Soils STATSGO, Fire spatial data for 2005-2009, NPS Boundaries, Land Use, Land Cover, States, Counties • KMZ files • Improve, Counties, Soils, States, NPS Boundaries, Webcams • Images Created with MATLAB and GrADS • Terra and Aqua angstrom exponent, aerosol optical depth, Aura OMI NO2 • Hierachical and Common Data Format • HDF4, HDF5, NetCDF

  4. MODIS – What we have acquired MOD 20 - Chlorophyll Fluorescence MOD 21 - Chlorophyll_a Pigment Concentration MOD 22 - Photosynthetically Available Radiation (PAR) MOD 23 - Suspended-Solids Concentration MOD 24 - Organic Matter Concentration MOD 25 - Coccolith Concentration MOD 26 - Ocean Water Attenuation Coefficient MOD 27 - Ocean Primary Productivity MOD 28 - Sea Surface Temperature MOD 29 - Sea Ice Cover MOD 31 - Phycoerythrin Concentration MOD 32 - Processing Framework and Match-up Database MOD 35 - Cloud Mask MOD 36 - Total Absorption Coefficient MOD 37 - Ocean Aerosol Properties MOD 39 - Clean Water Epsilon MOD 40 - Gridded Thermal Anomalies MOD 43 - Surface Reflectance BRDF/Albedo Parameter MOD 44 - Vegetation Cover Conversion MOD 01 - Level-1A Radiance Counts MOD 02 - Level-1B Calibrated Geolocation Data Set MOD 03 - Geolocation Data Set MOD 04 - Aerosol Product MOD 05 - Total Precipitable Water MOD 06 - Cloud Product MOD 07 - Atmospheric Profiles MOD 08 - Gridded Atmospheric Product MOD 09 - Surface Reflectance; Atmospheric Correction Algorithm Products MOD 10 - Snow Cover MOD 11 - Land Surface Temperature and Emissivity MOD 12 - Land Cover/Land Cover Change MOD 13 - Gridded Vegetation Indices (NDVI & EVI) MOD 14 - Thermal Anomalies - Fires and Biomass Burning MOD 15 - Leaf Area Index (LAI) and Fractional Photosynthetically Active Radiation (FPAR) MOD 16 - Evapotranspiration MOD 17 - Vegetation Production, Net Primary Productivity (NPP) MOD 18 - Normalized Water-leaving Radiance MOD 19 - Pigment Concentration

  5. Aura OMNO2G Data

  6. CMAQ & Terra MODIS AOD

  7. Hysplit Back Trajectories KMZ

  8. ArcMap View of Soils Data

  9. ArcMap View of Fire Data

  10. ArcMap View of Land Use Data

  11. ArcMap View of Land Cover Data

  12. ArcMap view of County Data

  13. ArcMap view of NPS Data

  14. Current data access • Spatial data is available with a spatial client • Soils STATSGO tabular and spatial data is available through a web service. • KMZ files are made manually within ArcMAP. KMZ files are then displayed on a Google Earth Map. Many varying KMZ files are hosted on our web servers. • HDF files currently are large and cumbersome to extract datasets. Manual file manipulation is currently required. • HYSPLIT model KMZ files procedure has yet to be defined • Images are made manually using MATLAB and GrADS.

  15. Proposed Access to Data Web Services • Continue to create web services to access spatial data • Create a technique to quickly parse HDF files • Create a new service to return KMZ files • Create a service to make images Data Integration • Temporal – over days • Spatial – over grids

  16. Prototype Visualization Tools Microsoft Virtual Earth • Navigation • SharpMap Leverages the MSVE to display GIS/KMZ Google Maps/Earth • Navigation • KMZ Custom Map • Navigation Map • Terraserver Imagery, DLG • ArcSDE

  17. Virtual Earth Visualization

  18. Google Earth Visualization

  19. Custom Visualization Contents • Navigation Map • Terraserver Data • Imagery • DLG • ArcSDE Data Sole Purpose • To display the web service data

  20. Custom Visualization (cont’d) • Browser • Navigation • Terraserver Data • ArcSDE Data • Soils • Land Use • Land Cover • NPS • Fires

  21. Issues • State soil and land use/cover KMZ files too large to display with Google Maps. • Google Earth Plug-in only supports IE 6/7 and Mac 10+, no Linux, no IE8, no W2K8. • Microsoft Virtual Earth API not as developed as Google API; however, it also has 3D component.

  22. Proposal • Continue development of web services: • HDF2KMZ; • ArcSDE2KMZ, ArcSDE2GML. • ArcSDE2TBL (for the attributes) • Customize/design 2D Visualization tools. • Customize/design 3D Visualization tools. • Integrate new tools and tool components into VIEWS/TSS

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