Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: DEVELOPING A WEB-BASED GIS APPLICATION FOR EARTHQUAKE INFORMATION A. Garagon Dogru, T. Selcuk, H. Ozener, O. Gurkan, G. Toz

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 2. CASE STUDY 2.1 Structure and Tools In this study, mapping application type is dynamic web browser. Dynamic maps enable to choose features that will be displayed, such as the scale, location etc. applications, maps are drawn according to preset parameters. And then the web browser displays the map as an image. By changing the parameters, users can generate and view a new map. This type causes heavy load on the server side. The server side has geographic data, GIS softwares, and an interface program (Figure 2). It requires also programming to provide a map service. In this study, activex control is used to extend the browser capabilities. When users visit the site, the control is downloaded automatically and temporarily. m. asie + parameters NTER a EN map GIS Software GIS Interface PEE Program Application Development Environment Figure2: Server side model MapObjects ActiveX software component and MapObjects Internet Map Server (MOIMS) software are used in the study. MapObjects is used to build the GIS application and MOIMS is used as a gateway program. MapObjects and MOIMS are used together with Visual Basic application development environment. Windows XP is choosed as the operating system and Microsoft Internet Information Server (IIS) is it's web server. It is used to share information over the Internet. Also Microsoft Internet Transfer Control is used to connect other web servers and retrieve HTML documents for the application. In order to listen requests from the users, WebLink ActiveX Control is used. For the preparation of the spatial data ArcView, ArcInfo, Erdas Imagine, and Microsoft Photo Editor programs were used (Figure 3). (MicroSoft Windows XP) Application Development Environment Web Server (MicroSoft Visual Basic) (MicroSoft IIS) Application Development Tool (ESRI MapObjects ) Map Server Data Compilation : v mmpiau (ESRI MapObjects IMS) (ESRI ArcInfo, ArcView, ERDAS Imagine, MS Photo Editor ) Figure 3: Tools 2.2 Data Acquisiton and Manipulation Entire Turkey is the study area. Both raster and vector geographic data types are used in the study. Raster data represent topography and population density. Vector data In this type of 146 represent current earthquakes, historical ^ earthquakes, earthquake record stations, fault lines, GPS stations, displacements by GPS, city boundaries, city centers, county boundaries, map index, lakes, rivers, and roads. GIS data come from different sources and in a variety of formats. For combining multiple files on the same display, data must be in the same spatial reference system. Figure 4 displays data from different sources in different datums and forms. Dias Chat of us World USGS GTOPO30 Project Com | http; //edcaaec scale: 1/1,000,000 projection: geographic format: shp (esri Cities : fi p (esri) | Counties datum: wgs-84 ___ DEM projection: geographic — City Centers || unit: decimal degree ; Roads | datum: wgs-84 Lakes z-unit: meter unit: decimal degree Rivers ellipsoid: wgs-84 Kandilli Observatory and Earthquake Research Institute (Bodazigi University-Turkey) http://www.koeri.boun.ed Current Earthquakes Historical Earthquakes Earthquake Record Stations Fault Lines projection: geographic datum: ed-50 unit: dms projection: geographic datum: wgs-84 unit: dms GPS Stations Displacements by GPS } Figure 4: Data, sources, and formats Digital Elevation Model were exported to cell based grid format. ArcView was used to classify grid data according to its height values. In order to use raster data in MapObjects Internet Map Server application, data were converted from grid format to JPEG image format. And then it was converted to TIFF format using Microsoft Photo Editor software. Because MapObjects displays TIFF format more efficiently than JPEG format. For population density map, ArcView and it’s scripting language were used to calculate areas of the boundary polygons and colorize shape file according to the population density values. Population values of districts were added to districts dBASE table. Density image was exported to JPEG format. And then JPEG file was converted to TIFF format. Current Eartquakes and Historical Earthquakes layers were symbolized using their magnitude and depth values. Other vector layers were symbolized with single values. In the study, vector data format is ArcView shape file format. Vector data downloaded from http:/www.gisdatadepot.com DCW web site were acquired in shape file format. For other ASCII text files which include coordinate information of stations and earthquake parameters information, ArcView scripting was used to convert text file to shape file format. All of these data were in geographic coordinates relative to the WGS-84 and ED-50 datums. Datum transformations and coordinate conversions were performed. Data were projected to Lambert Conformal Conic map projection. It is one of the best for middle latitudes. ArcView can not export maps to georeferenced images. So topographic map image and population density map image were georeferenced to the Lambert Conformal Conic projection by using image processing software ERDAS Imagine.

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