Arctic Basemaps In Google Maps

J. Muggah, Darka Mioc

Research output: Contribution to journalConference articleResearch

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Abstract

The Ocean Mapping Group has been collecting data in the Arctic since 2003 and there are approximately 2,000 basemaps. In the current online storage format used by the OMG, it is difficult to view the data and users cannot easily pan and zoom. The purpose of this research is to investigate the advantages of the use of Google Maps, to display the OMG's Arctic data. The map should should load the large Artic dataset in a reasonable time. The bathymetric images were created using software in Linux written by the OMG, and a step-by-step process was used to create images from the multibeam data collected by the OMG in the Arctic. The website was also created using Linux operating system. The projection needed to be changed from Lambert Conformal Conic (useful at higher Latitudes) to Mercator (used by Google Maps) and the data needed to have a common colour scheme. After creating and testing a prototype website using Google Ground overlay and Tile overlay, it was determined that the high resolution images (10m) were loading very slowly and the ground overlay method would not be useful for displaying the entire dataset. Therefore the Tile overlays were selected to be used within Google Maps. Tile overlays used for this project proved to be useful for large datasets because they cut the image into many different tiles and load only the part of the image (tile) within the map window bounds.
Original languageEnglish
Book seriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
VolumeXXXVIII-4/W13
ISSN1682-1750
Publication statusPublished - 2010
Event1. International Workshop on Pervasive Web Mapping, Geoprocessing and Services - Como, Italy
Duration: 1 Jan 2010 → …

Conference

Conference1. International Workshop on Pervasive Web Mapping, Geoprocessing and Services
CityComo, Italy
Period01/01/2010 → …

Keywords

  • Bathymetric data
  • Multi resolution images
  • Google Maps
  • Multibeam data processing

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