DefiningImageAccess/Project/Google Earth
From ImageWeb
| DefiningImageAccess/Project/Google Earth | |
|---|---|
| homepage:=http://earth.google.com/}} | |
| [[has sub-project::{{{Subproject}}}]]}} | |
| [[sub-project of::{{{Supproject}}}]]}} | |
| [[start date:={{{Start date}}}]]}} | |
| [[end date:={{{End date}}}]]}} | |
| [[Status:={{{Status}}}]]}} | |
| JISCProject:=false}} | |
| [[Image Materials:={{{ImageMaterials}}}]]}} | |
| Focus:=Mashup}} | |
| [[Publishes::{{{Publishes}}}]]}} | |
| [[References::{{{References}}}]]}} | |
| [[Uses::{{{Uses}}}]]}} | |
| [[Creates::{{{Creates}}}]]}} | |
| [[Partner::{{{Partner}}}]]}} | |
| [[Contact::{{{Contact}}}]]}} | |
| Defining Image Access | DefiningImageAccess/RelatedWork |
Google Earth
Google Earth enhaces the power of Google with shared 3D images, maps, etc that are marked on the Google Earth interface by these images' geographic information, i.e. the latitude, longitude, altitude.
See also http://imageweb.zoo.ox.ac.uk/wiki/index.php/DefiningImageAccess/SoftwareEvaluation#Annotation_service for the evaluation of this software in the Defining Image Access project.
Software evaluation
The evaluation of this project aims to show how the geographic metadata published by our partner repositories can be used to create a mashup with the Google Earth. This evaluation is inspired by the mashup conduced by the Nature.
In order to create the mash-up, the follow materials are used:
- 3 KML files that define how to display geographic data in the Google Earth.
- Image metadata from the Serpent project.
Two sets of samples are created, one for images created nearby Guinea and the other for images nearby Australian. Based on first study the following impressions are gathered:
- The video images cannot be displayed by the HTML display style in Google Earth.
- Some images can be placemarked in the interface. It is not clear whether this is due to the geographic metadata not accurate enough for Google Earth to recognise or due to the interface's incapbility to locate inside the sea.
Overall, this software is easy to use and KML is easy to learn. Also KML can support some query functions to realise real mashup betweeen local data and Google Earth.

