Biomass in Future Landscapes – A Virtual Journey to Landscape Scenery

Biomass in Future Landscapes from Philip Paar on Vimeo.

Fly-throughs are quite popular, especially since the success of Google Earth but what matters more to landscape perception is the human perspective from eye-level view. Lenné3D, a Berlin based corporation, has been invited by the German Biomass Research Centre (DBFZ) to create this visual stunning simulation of future cultural landscape scenarios by virtually implementing biomass into an existing landscape. Our contribution tries to advance the paradigm of Humphrey Repton’s famous before-and-after landscape depictions with dynamic navigation, and to trigger fruitful discussions on the various aspects and issues of biomass in cultural landscapes.

The video animation “Biomass in Future Landscapes” shows both fly-through and walk-troughs and a time travel. New landscape scenery patterns and time and again views arise from implementation of linear structures such as alley-cropping systems.

The video is based on a virtual 3D model derived from geodata such as a digital elevation model and land use maps and field patterns, vegetation relevés, and descriptions of cropping practices. A plant distributor software arranges the vegetation cover. Finally, a virtual camera flies and walks though the 3D landscape model and the animation is rendered using the interactive Lenné3D-Player software.

The video was presented first at the international conference Biomass in Future Landscape, Berlin, March 31st – April 1st 2009.

Google Earth API: Embeddable KML w/o JavaScript

At the Google I/O 2009 new features of the Google API were introduced:
http://www.youtube.com/watch?v=H7fxHp7oHcI

Among others, the GoogleEarth Plugin was further developed. With this plugin, you can embed GoogleEarth contents in normal websites. With the help of the following Google Gadget, this is now pretty simple: http://tr.im/embedkml.

For the following very simple example, I used an overview of Canadian Universities. However, I also tried this technique with very large and complex kml files and it worked as well. The Google developer forum gives more information which features of GoogleEarth are included already and which are not.