10 terra/modis images for aug. 14, 2005 alaska north slope oil industrial area landsat 5: june 15,...
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10 Terra/MODIS Images for Aug. 14, 2005Alaska North Slope Oil Industrial Area Landsat 5: June 15, 2005
NSSI Data System Tom Heinrichs
UAF - Geographic Information Network of Alaska tom.heinrichs@alaska.edu www.gina.alaska.edu
NSSI OG: 14-Nov-2006
Workshop Objective
• Establish consensus on the NSSI data system’s functional and content requirements
Objectives of This Presentation
• Present an overview of GINA’s design suggestions for the NSSI data system, based on:– Experience with other data systems and
projects– Input from multiple previous data workshops
and Oversight and Staff presentations and feedback
• Introduce some of the questions to be answered to meet the workshop objective
System Objectives
• Why does NSSI need this system?
• What differentiates it from other existing systems?
GINA Background and Projects
• Four examples:– Alaska Fire Service imagery and hot spots– Arctic Geobotanical Atlas – Landsat 5 reception for Alaska– Statewide mapping image and elevation data
clearinghouse
“MODIS was great in detecting fires in remote locations. Almost thisentire summer we were out of resources used for detection flights, MODISfilled the gap for us.”
--Corey Doolin, Zone Coordinator Upper Yukon Zone BLM
Alaska Fire Service
http://www.gina.alaska.edu/page.xml?group=projects&page=wildfire
Arctic Geobotanical Atlas
http://www.arcticatlas.org/maps/vistools.shtml
Landsat 5: 2004 vs. 2005 Alaska acquisitions
2004: 25 scenes FCDAS/GINA/EROS impact:
2005: 3889 scenes
2006: 4780 sceneshttp://www.gina.alaska.edu/page.xml?group=data&page=landsat
Current:• MMS Sea Ice• MMS Goodnews Bay offshore placers• MMS Beaufort weather models• USGS AmericaView• NSF Sea Ice• NSF Botanical Mapping• Alaska Ocean Observing System• Statewide Mapping: Imagery and DEMs
Proposed• MMS-CMI gridded data offshore• NSF IPY data management
Data Systems: Role within NSSI
• Data systems serve every goal in the NSSI Oversight Group’s charter– Determination of information needs– Coordination– Public access
• These goals extend statewide
Fundamental Components
• Project tracking
• Literature database
• Local and traditional knowledge
• Data store
• Data discovery (metadata)
Fundamental Service
• Support decision making– By providing easier access to available
information, leading to better informed decisions
– By serving data easily ingestible by Decision Support Systems
Project Tracking
Literature Database
• Tied to geospatial location
• Literature and reports
• Copyright and proprietary issues
Local and Traditional Knowledge
• Important for local buy-in
• Integration with quantitative data not straightforward
• STG subcommittee
Base LayersElevation Elevation
HydrographyHydrography
Geodetic controlGeodetic control
CadastralCadastral
TransportationTransportation
Governmental UnitsGovernmental Units
LandcoverLandcover
BathymetryBathymetry
Digital OrthoimageryDigital Orthoimagery
Suggested NSSI Layers
…
Developed with stakeholders
Gridded products
Hajo Eicken: http://www.gi.alaska.edu/snowice/sea-lake-ice/eicken.html
Geospatial Databasesand Interoperability
Interoperating using Open Geospatial Consortium protocols
Open Geospatial Consortium Interoperability
Client Application
ArcGIS, Google Earth, Internet Map Server, etc
DNR Land RecordsUSGS DOQQs
DOT RoadsCPAI/BP Pipelines
BLM Native Allotments
NSB Fish Habitat
System Objectives
• Why does NSSI need this system?
• What differentiates it from other existing systems?
Why does NSSI need this system?
• To realize the goals:– Determination of information needs– Coordination– Public access
• To make better decisions using – Better (more complete) information– New techniques (GIS models)
• To realize savings of time and money
What differentiates this system?
• Designed to meet NSSI goals– “Agenda-less” source of data– Audit trail (litigation)– Owned by and serving the objectives of NSSI,
which are broader than any one agency’s goals
– Will lead to the service of larger, statewide goals
Topics for This Group
• Review of the proposed data layers (content);
• Discussion and comment on suggested standardized grids and projections;
• Review of the recommended system functionality; and
• Generation of a list of suggested topics/issues that could be addressed through DSS functionality.
from: North Slope Science Initiative, Science Technical Group; Remote Sensing & GIS Subcommittee Meeting; November 13, 2006 Workshop Summary
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