Thursday 8 September 2011

Exploring Visibility and Atmospheric Occlusion in CryEngine

The role of visual appreciation of landscape has taken a leading role in the archaeology of landscape, encouraged both by theoretical approaches and the utility of GIS softwares for automatic analysis of the visual characteristics of large landscapes.  Various writers have critiqued GIS studies of visibility and proposed enhancements to and refinements of visibility studies (eg. Llobera 1996 and 2000; Ogburn 2006).  In essence arguments for the refinement of visibilities studies focus on the need to appreciate the impact of range, view direction and target size on visibility. Additionally, a number of authors have pointed out the shortcomings of both theoretical and practical approaches to visibility studies, in particular the fact that many studies ignore or misrepresent the potential impact of vegetation and past vegetation patterns on landscape and visibility. 


I have been experimenting with using CryEngine to model different degrees of visual occlusion of landscape, based on atmospheric fog and rain.  Sandbox conveniently allows varying vegetation scenarios for the same landscape to be stored as layers that may be turned on and off to explore the visual impact of changes in vegetation.  Sandbox's environment controls allow alteration of the character, density and occlusion distance of atmospheric fog and addition the impact of rain on visibility may be simulated through particle effects.  The graphics here illustrate CryEngine simulations of the effect of increasingly dense atmospheric fog (with view distance decreasing from 200m to 500m) and the addition of rain on visibility of Stonehenge as viewed from The Cursus, a distance of just over 2km, and can be compared with a traditional GIS-derived two-dimensional viewshed diagram from the same location.


I think this approach has some potential for exploring changing visibility in landscapes where views and indivisibility are considered significant.  I'll be exploring different vegetation patterns in a similar light in the near future.


Llobera, M. 2001. Building past landscape perception with GIS: understanding topographic prominence. Journal of Archaeological Science 28, 1005-14.

Ogburn, D.E. 2006. Assessing the level of visibility of cultural objects in past landscapes. Journal of Archaeological Science 33, 405-13.