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Tuesday 18 October 2005: Session 1, 10:50:00 AM
GIS Analysis and Image Processing using the .Net Framework
Presentation Abstract
GIS Analysis and Image Processing using the .Net Framework Abstract: Microsoft’s .Net Framework contains the basic building blocks necessary to perform raster analysis and image processing. Analysis and image processing components have been developed that run faster than large GIS and image processing products, and can run in environments they can’t – like the PocketPC. These components can also be used in ways prohibited by most commercial licensing agreements, like providing analytical capabilities to unlimited numbers of users through web-based applications. Three applications built using these components will be shown. The first example is a web site for students to learn the basics of processing satellite imagery. Users can select an area they are interested, clip out the raw imagery for the area, and do basic image processing on the clipped imagery. The processing functionality currently includes contrast stretches, edge detection, high and low pass filters, color composites, and vegetation indices. Users can view basic statistics on the images they create, view histograms of the pixel values, create scatter plots comparing any two images, and overlay other GIS layers on their images. The second example is a web site that allows farmers to participate in a nutrient trading auction. The site allows farmers to digitize the boundary of their farm and then uses the raster processing capabilities to clip and summarize various layers (soils, sediment delivery, phosphorus levels, etc.) to estimate the phosphorus load being delivered to neighboring streams under present conditions. Farmers and funding agencies can then assess the costs and expected load reductions of various BMPs in order to reduce loads in the most cost effective manner. The third example is an application built in ArcGIS 9 that assesses the vulnerability of public water supply wells to various potential contaminants. The major part of the assessment is the analysis of over twenty GIS layers in the area contributing to the well. ArcGIS is used for the analysis of the vector layers and for map creation. The raster analysis capabilities are used to clip and summarize the raster layers such as land cover, slope, and groundwater contamination vulnerability. To eliminate the need to distribute the large raster datasets to all users, and to allow the application to scale up to a large number of users without the additional license fees associated with using a local ArcGIS extension, the data is stored on a central server and the analysis software is implemented as a Web Service on the server.
Speaker Biographical Information
Michael Anderson President: Spatial Information Technologies, Inc.
Mr. Anderson received a B.S. in Earth Science in 1990 from Clarion University of Pennsylvania and a M.S. in Soil Science from The Pennsylvania State University in 1996. He began working for Penn State’s Environmental Resources Research Institute (ERRI) in June of 1993. While at ERRI, he managed several data compilation projects and developed numerous ArcInfo and ArcView applications for the Pennsylvania Department of Environmental Protection, the Pennsylvania Department of Conservation and Natural Resources, the Allegheny National Forest, and various Penn State researchers. In March of 1997 he moved to the Land Analysis Laboratory (LAL) within Penn State’s College of Agriculture. While at the LAL he continued developing ArcView applications, and began developing WebGIS applications. The applications focused on the analysis of environmental conditions and providing access to GIS data for counties, watershed groups, conservation districts, and the Pennsylvania Department of Agriculture. In July of 1997 he started Spatial Information Technologies, Inc. (SpatialIT). In February of 2001 Mr. Anderson left the LAL to devote himself full-time to SpatialIT. The majority of his time is spent developing desktop and WebGIS applications using commercial and Open Source software, migrating ArcView 3.x applications to ArcGIS, and embedding GIS in other applications, such as Word documents, Excel spreadsheets and Access databases.
