Northwest Washington GIS User Group Agenda
March 16, 2007
Skagit County Public Utility District No. 1, Aqua Room
1415 Freeway Drive, Mt. Vernon
(See Map & Abstracts below)
To change or add an email address for meeting announcements, contact stefan
9:00 – 9:45 Round Table
9:45 – 10:00 Break
10:00 – 10:30 Computing with Words for GIS: Development of an Earthquake-Induced Landslide Model
Scott Miles, Western Washington University
10:35 – 11:50 ESRI’s ArcGIS Image Server
Chen Li, ESRI
11:50 – 12:00 Wrap-up
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Map / Directions
o Interstate 5 (North or South) to Exit 227, Mount Vernon; College Way
o Take College Way west 1 block.
o Take your first left (south) at the light on Freeway Drive
o The PUD is about one block south, on the right (1415 Freeway Dr.)
o Park in the lot behind the PUD building, entrance at rear of building
ABSTRACTS
Computing with Words for GIS: Development of an Earthquake-Induced Landslide Model
Scott Miles, Assistant Professor, Western Washington University
This talk describes the design of a comprehensive areal model of earthquake-induced landslides (CAMEL). CAMEL is a regional-scale model of earthquake-induced landslide hazard developed using fuzzy logic systems (computing with words) and the ArcObjects development environment. CAMEL currently estimates areal landslide concentration (number of landslides per square kilometer) of six aggregated types of earthquake-induced landslides – three types each for rock and soil.
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ESRI’s ArcGIS Image Server
Chen Li, ESRI
ESRI’s ArcGIS Image Server provides fast access and visualization of large quantities of file-based imagery, processed on the fly and on demand such as image enhancement, orthorectification, pan sharpening and complex image mosaic. The images generated by the server can be used in most GIS vendors’ software, including ArcGIS Desktop and ArcGIS Server, ERDAS IMAGINE, Intergraph GeoMedia, and MapInfo Pro, as well as CAD software such as AutoCAD and MicroStation. ArcGIS Image Server can be used within large mapping and imagery data management companies. There is also an opportunity for significant use within agencies and companies that manage distribute and use large quantities of image data.