Michael Barton's
SERV project is a visualization of a
GRASS-based land-use model.
The model generates land surfaces for a given location over a period of time.
Input to the model includes parameters like vegetation coverage, rainfall, and agricultural patterns.
Decision Theater software engineer,
Jeff Conner, made a visualization program that displays the successive
time-steps. The software can be configured to write each image frame to disk in order to generate
movies (like below).
Michael Barton's GRASS-based land-use model for the Wadi Ziqlab watershed in northern Jordan showing 34 years of erosion.
The above movie shows the results of the simulation run with low vegetation coverage
(C-factor 0.8) and heavy rainfall (R-factor 10).
There is also a Virtual Reality application that shares most of the same core functionality.
Below is a movie of the same model results loaded in the Decision Theater's multi-screen environment.
Same model results as above but shown in the Decision Theater.
More about Michael's
NSF funded research in Mediterranean Landscape Dynamics can be found
here.