Know the Earth…Show the Way NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY GEOSECTIONING DNC ® Data...

Know the Earth…Show the Way

NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY

GEOSECTIONING DNC® Data

GEOSECTIONING DNC® Data

Prototype and Development Project

Phase V

Prototype and Development Project

Phase V

David Turnbull03 May 2006NGA HydroVision Production Cell

David Turnbull03 May 2006NGA HydroVision Production Cell

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Goals of Effort

• Have an in-house automated capability to convert DNC® data into a one-feature-one-time format to easily incorporate into any database.

• Create and demonstrate a new prototype version of the DNC® where it is one-feature-one-time.

• Gain the many side benefits created by having these automated tools.

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Concepts

• Geo-sectioning

• One Feature One Time

• New Attribution to DNC®

• Generalization and SCAMIN

• Common tile sizes

• Common Schema

• Libraries based on one or more 1 degree tiles

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SCAMIN (Scale Minimum)• SCAMIN is used in some degree with the

international community with S-57.• SCAMIN is the least scale in which a feature

should be portrayed• Currently based mostly on HACG scale

ranges– Harbor: 0-49,999– Approach: 0-99,999– Coastal group 1: 0-249,999– Coastal group 2: 0-499,999– General: 0-2,500,000

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Loaded 29 CDs into single Database• Development with Laser-Scan, Inc. (LSI) which gave

Lamps2 an automated mass importer of DNC® CDs into a Gothic Object-Oriented (OO) Database

• Loaded all 29 CDs into individual databases within the database in the NGA HydroVision Production Cell (NPC).

• A single CD can be imported with a few clicks-– average time for a CD: 40 minutes

• NPC has the latest of all the CDs loaded into the Gothic database

• Also can run batch processing on multiple libraries

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Propagated Into Single Dataset

• Chose the entire DNC17 since we had been maintaining it (last 3 phases as well)

• All DNC17 data brought into a single dataset using a fully automated tool created within Lamps2

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New Attributes Added During Feature Propagation• New attribution is per individual feature or object

and added automatically• New attributes:

– Library Name-Name of the original library• “DNC17_h1708210_Baltimore”

– Chart Identifier-Chart number feature came from– Chart Edition Number-Edition of Chart– Chart Scale (NEW FOR THIS PHASE)– Hydrographic Datum (soundings only)

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Geo-sectioned and Generalized Data

• Originally manual• Now fully automated process (one click)

– Step 1-initial SCAMIN attribute created and populated per feature based on library type.

– Step 2- Pub Aid Number and Pub Number attributes added and populated from Text Attribute for Buoys, Beacons, and Lights

– Step 3-Uses the Data Quality Areas (DQY) to spatially select the features and splits all line and area features at DQY boundaries.

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Geo-sectioned the Data (2)– Step 4- Process features by DQY and search

within a defined radius to see if there are matching features of smaller scale. If there are, the SCAMIN attribute value is replaced with the smaller scale. (Point features only)• Lights-Additionally compares Publication Aid

Number (PAN) and Range. If the range is not equal it looks at the PAN. If the PANs are equal it is a matching feature. If the PANs are not equal it produces a new QR light feature so that the compiler can visit it and determine if it is a different light or an error.

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Geo-sectioned the Data (3)– Step 5-Deletes unwanted, smaller scale,

overlapped features.• Only the best scale features are kept within the

DQY.• The data is now one-feature-one-time in a single

dataset

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Created the New Tiles• Created Tiles within the new dataset using automated

tile creator developed in the NPC using LULL, all tiles 1x1.

• Areas which originally covered Harbors and Approach Datasets are now based on a 1 x 1 degree tile scheme.

• Coastal and General areas are a maximum of 3 x 3 deg and a maximum of 9 1x1 deg tiles.

• Tiles do not overlap, libraries do not overlap• Split data along new library boundaries (auto)

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New Datasets Based on Tiles• Each library will be made up of either 1 or many

tiles up to a max of 9.• DNC17 divided into 246 tiles, 60 datasets• The new datasets are named incorporating the tile

name, ex: h17hjfk– the h so that it will meet spec. All libraries start

with h (easier for us to code for now)– 17 for DNC17– hjfk for the tile that makes up the library

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New Libraries For DNC17

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Propagated Data to Datasets

• Spatially queried each tile area and propagated the data from the single master dataset into each new tile library

• Now fully automated for this phase

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Modified Files for Export

• Changed export scripts to effect all libraries to be exported

• Allows for export of the new attributes and tile sizes, now automated

• Easy to modify the code/schema to accomplish this.

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Exported Data• All 60 libraries exported without viewing errors.• A cleanup process would be needed if we were to

use it for production (edge-matching)• New attributes appeared properly structured within

the VPF tables.• Created a Browse for the libraries (now automated)• Cut a CD of the new Prototype IV for DNC17.

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Test on ECDIS platforms

• Gave to SPAWAR to modify COGENT to view the data and utilize SCAMIN.– Data views utilizing SCAMIN.

• Load into various ECDIS platforms– FUND: Testing– ECPINS®: Testing – ICE: Testing– VMS: Testing

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Demonstration of SCAMIN

• Created customized code within Lamps2 to demonstrate the SCAMIN value being used to “thin out” the visible data when zooming out/in.

• Proof of concept, the ECDIS would have to be modified to utilize the SCAMIN attribute as SPAWAR has.

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Depth Distribution

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500,000 view

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250,000 view

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100,000 view

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50,000 view

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25,000 view

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10,000 view

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Benefits• We now can go to one-feature-one-time

automatically in-house in order to populate the future NDME or NGA databases.

• Proved that adding new attributes to the data properly will not kill the ECDIS functionality.

• Size of the data on a CD is smaller.– Normal DNC17= 415 MB– Geo-sectioned DNC17= 274 MB

• No duplication in collecting.

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Side Benefits• Have used it already for the foundation for the

EPODS effort to supply one-feature-one-time data• Have used it to supply custom datasets to several

customers (NAVO, TRANSCOM, HYSAS)• Utilized tools to create a One-Feature-One-Time

Global DNC® coastline.• In process of using tools to create an ArcGlobe

global DNC® model.

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What is next…Phase V• Further testing on ECDIS platforms• Finish display methods in Lamps2 to utilize the

SCAMIN values for lines and areas. • Possibly Adding Chart limit feature class for Hardcopy.• Possibly creating a model using more SCAMIN bands

similar to the IHO models• Possibly incorporating new agreed upon attributes from

DNC2/Data Model/S57 efforts

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QUESTIONS?

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Know the Earth…Show the Way NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY GEOSECTIONING DNC ® Data...

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