Abstract

Hundreds of geologic maps have been draped onto Google Earth (GE) using the ground overlay tag of Keyhole Markup Language (KML) and dozens have been published on academic and survey web pages as downloadable KML or KMZ (zipped KML) files. The vast majority of these are small KML docs that link to single, large - often very large - image files (jpegs, tiffs, etc.) Files that exceed 50 MB in size defeat the purpose of GE as an interactive and responsive, and therefore fast, virtual terrain medium. KML supports super-overlays (a.k.a. image pyramids), which break large graphic files into manageable tiles that load only when they are in the visible region at a sufficient level of detail (LOD), and several automatic tile-generating applications have been written. The process of exporting map data from applications such as ArcGIS to KML format is becoming more manageable but still poses challenges. Complications arise, for example, because of differences between grid-north at a point on a map and true north at the equivalent location on the virtual globe. In our recent field season, we devised ways of overcoming many of these obstacles in order to generate responsive, panable, zoomable geologic maps in which data is layered in a pyramid structure similar to the image pyramid used for default GE terrain. The structure of our KML code for each level of the pyramid is self-similar: (i) check whether the current tile is in the visible region, (ii) if so, render the current overlay, (iii) add the current data level, and (iv) using four network links, check the visibility and LOD of four nested tiles. By using this pyramid structure we provide the user with access to geologic and map data at multiple levels of observation. For example, when the viewpoint is distant, regional structures and stratigraphy (e.g. lithological groups and terrane boundaries) are visible. As the user zooms to lower elevations, formations and ultimately individual outcrops come into focus. The pyramid structure is ideally suited to geologic data which tends to be unevenly exposed across the earth's surface.