Yazar "Uluğtekin, Nesibe Necla" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Compilation of digital elevation model for Turkey in 3-arc-second resolution by using SRTM data supported with local elevation data
    (Springer Berlin Heidelberg, 2010) Bildirici, İbrahim Öztuğ; Üstün, Aydın; Uluğtekin, Nesibe Necla; Selvi, Hüseyin Zahit; Abbak, Ramazan Alpay; Buğdaycı, İlkay; Doğru, Ahmet Özgür
    In February 2000, the Space Shuttle Endeavour of the “Shuttle Radar Topography Mission” (SRTM) launched by NASA collected elevation data by scanning the earth landmasses between ~60º north and south parallels. After this 11 days mission, the collected data were processed, and a Digital Elevation Model (DEM) at 1-arc-second – and also 3-arc-second – resolution was created. SRTM DEM contains data voids because of several disturbing effects. The proportion of data voids in Turkey (0.17% for second corrected version) is approximately same as the global proportion (0.15%). The data voids are the most important obstacles for efficient use of the data. DEMs with high resolution are important data sources for all disciplines in geosciences. Since collecting such data and creating DEM are both time consuming and expensive processes, many scientists have been studied on filling these voids in a reliable way. The aim of this paper is to present the results of a project, which aims to validate the SRTM within Turkish territory, and to create a DEM based on the SRTM data covering the same area without data voids. The validation of SRTM was performed using following ground truth data sets: topographic maps (25K maps) and DGPS tracks. The executed statistical analysis for accuracy assessment of SRTM within Turkish territory gives the results consistent with those of global analyses performed by several researchers. The voids are visually classified as the clustering and the scattered voids. The clustering voids were filled with a local data source. For this purpose the 1:25000 scaled national topographic map set (25K maps) was used. The scattered voids were filled with interpolation. As a result of the project, which was completed in September 2008, a complete DEM of Turkey at 3-arc-second resolution has been created and published via Internet for the use of researchers and professionals in geosciences. © Springer-Verlag Berlin Heidelberg 2010.
  • Küçük Resim Yok
    Öğe
    Web mapping with Google Maps mashups: overlaying geodata
    (Copernicus Gesellschaft MBH, 2010) Bildirici, İbrahim Öztuğ; Uluğtekin, Nesibe Necla
    The term mashup is used for incorporating different web resources and information within a web site. Mashups are an integral part of Web2.0, which represents a variety of innovative resources, and ways of interacting with, or combining web content. Mashups are based on Application Programming Interfaces (APIs) that are online libraries of functions. Most of the APIs are available at no cost to web developers. Most common mashup applications involve web mapping or web cartography. There is a variety of API providers for map mashups, including Google, Yahoo and etc. The functionality of their APIs are similar, but the data content. Google provides a huge amount of geodata worldwide. With Google Maps API, web site developers can add dynamic maps to their pages, and can overlay their own point, line and polygon data on to the maps. Such data can be overlaid within the JavaScript code, from external XML or KML files. It is also possible to connect a database and overlay data from the database based on a query. In this study the basics for creating map mashups are introduced, then the ways of overlaying data are discussed and the usage of XML and KML files are focused on. KML overlays are not flexible and there are some limitations. XML overlays are more flexible, but there is no standard XML schema. Web developers can define their own elements and attributes, and develop their Javascript code accordingly. We propose an XML schema, which is full compatible with Google Maps API classes.