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NIC Sea Ice Mapping System Archive Browser Interface Distribution IngestProduction Ice Analyst Application Database Kelly Taylor Paul Seymour Satellite Imagery Processing and Analysis System (SIPAS) Henrik Steen Anderson
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Introduction System Development History System Overview Ingest and Ingest Production Ancillary Data Database Browser Interface Analyst Application Chart Production Dissemination Archive and On-line Access Lessons Learned Summary Module From Virtual SIMS Architecture Archive Browser Interface Distribution IngestProduction Ice Analyst Application Database Henrik Steen Anderson
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SIPAS System History Paper Transitioned to Paper Replicated –GRASS, NSIPS, Terascan Public Systems – except Terascan: from Navy METOC Transition to ESRI Software CARTERRA –COTS but not so COTS: ESRI and Remote View Too much custom coding – Vendor, not applications developer of imagery analysis or GIS software SIPAS –Remote View, ESRI and ESRI Developed Scripts COTS with interface developed by ESRI contractor Ongoing investment is to maintain ESRI custom scripts RISK: Un-funded or ESRI Will Not Support Us RISK: Un-funded or ESRI Will Not Support Us Mitigating Factor: There Are Lots of ESRI Programmers and the System Is Almost Entirely Standard ESRI Applications Mitigating Factor: There Are Lots of ESRI Programmers and the System Is Almost Entirely Standard ESRI Applications
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SIPAS System Overview Hardware –Mixture of Solaris UNIX, Linux and Windows Servers –Remote View and ESRI on PC’s with dual processors –Dual Monitors –Laptop Version Workstations - Windows Operating System on PCs Custom Ingest Software –Imagine and Terascan are available Sensor Systems’ Remote View Imagery Analysis Application (COTS) ESRI GIS Software –ARCGIS, ARCMAP, SDE, IMS DISSEMINATION BY ESRI DISSEMINATION BY ESRI
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SIPAS –Phase I Data Ingest ENVISAT (Under Development)
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Ingest Ice Analysts have no time to do custom ingest What Software? – Little In-house Expertise Imagine, Terascan, Both Or Something Else? Requirements: Modular And Upgradable Solution: –Custom Modules By ACT And Custom In-house –All Modules Planned to be Written By ACT Soon –Still Retain ERDAS Imagine And Terascan License Summary: Processing the 57 Gigs Per Day of Incoming Data To a Standard Format Used By Applications Was the Single Hardest Hurdle and We Are Not Over It Yet Summary: Processing the 57 Gigs Per Day of Incoming Data To a Standard Format Used By Applications Was the Single Hardest Hurdle and We Are Not Over It Yet
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Ancillary Data Met, Ocean, Ice Model Fields into SIPAS Goal Is To Have the Data in the Same Format as the Imagery and Spatial Data Ongoing Process Not Fully Documented Point of Contact hannam@natice.noaa.gov
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Satellite-Derived Ice Motion Satellite-Derived Ice Motion PIPS 2.0 and 85Ghz SSM/I Scatterometer and radiometer data complement each other in estimating ice motion –Where radiometer has difficulties, scatterometer does well and visa versa –Enables complete coverage motion maps Banks Island Canada PIPS SSM/I
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Weather Data into SIMS Temperature and pressure contours created in ArcInfo from FNMOC gridded data. Shapefile can be used as a layer in chart production.
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Data is received from FNMOC in GRIB, cut into N and S Hemispheres Registered in TeraScan and Sent to ArcInfo with a header Re-projected to Polar Stereographic Contours produced *Automated process is command line driven Weather Data Process
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Sea Ice Thickness Data from the Gerson Ice Model
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Database and Browsing ARCGIS Geodatabase MSSQLSERVER Spatial Data Engine (SDE) Front End ARCIMS To Produce Maps RemoteView Has A Browser With Thumbnails Draw a Box on a Map and Retrieve Available Data
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Analysis Module Sensor Systems’ Remote View Improved By Vendor For Us Improvement Based On Our Requirements Still COTS – Not A Custom Package File Formats Completely Compatible With ESRI GIS Applications
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Remote View - Sensor Systems Remote View Pro - Version 2.4 Easily integrates with ARCView Create, import, display and edit vector overlays (Shapefiles) Supported formats:GeoTIFF, JPEG, ERDAS img, MrSID, RSAT, ESRI Shapefiles, DTED, etc.
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The Analysis System contains 3 Parts 1- Query of Available images based on AOI selection 2- Image Analysis 3- Attributing Create 2 shape files 1- Ice lines 2- Egg attributes SIPAS Phase II Analysis
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Chart Production Currently Use ESRI GIS Package and Old Custom Avenue and ARC AML Scripts To Produce.jpegs Legacy Method Based On Old Technology Moving Towards New Code Based On ARC/GIS – VISUAL BASIC Eventually; Automatic Chart Production Using ESRI Geodatabase, ARC/MAP, IMS, SDE Deploying “Zip and Ship” of Shapes Based on International Color Codes This Year
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The Dissemination System : 1- On Demand 2- Subscription 3- On-the-Fly Ice chart SIPAS Phase III Dissemination
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Archive and On-line Access Online Access –NIC: 1995-Current on WWW Site –NSIDC Weekly or Bi-weekly “Sea” Charts –JPEG,.e00 Transfer Format, –International Color Standard Every Two Weeks Arctic/Antarctic Hemispheric Coverage –.e00 Transfer, SIGRID 3 Archive Formats Deep Archive –Hemispherics to NCDC in.e00 format
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Sea Ice Mapping System Lessons Learned No Turnkey Systems –Rapid Prototyping with user participation –Custom Software by Applications Vendors It is not easy to adopt a new system –Resistance for changes from users Users participate in development/requirements Must be obviously more accurate, better, faster Find a champion –Difficulties of the learning curve Vendor training using YOUR DATA As little customized code as possible in a de-facto standard language
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Sea Ice Mapping System Lessons Learned Overwhelming complexity –Modular Design –Documentation Transformations, Conversions, Re-formats... –Insist on the same format for imagery analysis and spatial data files –Insist on using standards Spatial data, imagery, graphic, archive, colors, attributes etc Business Resumption and Portability –Ability to function as a stand alone –Laptop Version
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Summary COTS Modular Design –Ingest, Analysis, Production, Dissemination Same file formats throughout User input in development Training Using Actual Data Availability of programming assets Ability to upgrade with legacy support Use Standards Networked or Stand-alone
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NOAA Satellite Operations Facility Opening September 2005 Questions?
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False color image of SSM/I 85Ghz drift vectors Weather Data Process
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Sea Surface Temperatures are used to clean contamination from the ice concentration data. Further, the land mask is conserved in the ice concentration data. Before After SSM/I Weather Filtering
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Automated Ice Edge Automated chart (SSM/I J019) compared to the analyst derived chart for the same day. Final Product Comprised of: SSMI filtered with QuikScat from PST Value-added ice edge from NIC analyst (if available) Backfill of SSMI ice concentrations
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National Weather Service Support Sea Ice ice free http://science.natice.noaa.gov/work/ice_con_test.grb Daily weather in the United States is strongly linked to Arctic sea ice conditions. AWIPS D2D Display
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Single-Channel 250KM MODIS for Great Lakes
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Weather Data Process Data is received from FNMOC in GRIB format Registered in TeraScan
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Same process is used for Temperatures in K Weather Data Process
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Remote View – Sensor Systems
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