Using GIS to Determine Horizon Belts[2]
Using GIS to Determine Horizon Belts[2]
Using GIS to Determine Horizon Belts[2]
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idge viewpoints, and would have a backdrop of only land from the perspective of the<br />
road viewpoints. Thus, the purpose of the ridge viewshed analysis is <strong>to</strong> subtract the areas<br />
from the road viewshed analysis that would have a backdrop of land rather than sky. The<br />
output of the ridge viewshed analysis was reclassified <strong>to</strong> indicate whether a cell was<br />
visible <strong>to</strong> any (value = 1) or none (value = 0) of the ridge viewpoints.<br />
Create horizon belts<br />
The horizon belt corresponds <strong>to</strong> the intersection of the road viewshed and ridge<br />
viewshed analyses. This was obtained by multiplying the two grids. Any area common<br />
<strong>to</strong> both grids receives a calculated value of one, while an area just common <strong>to</strong> one grid<br />
receives a calculated value of zero. These belts delineate the area where at least some<br />
portion of the backdrop <strong>to</strong> a 35 foot structure would be open sky, as viewed from the<br />
public roads.<br />
Implement horizon belt constraints<br />
<strong>Horizon</strong> belts are a subset of a viewshed, the area within a viewshed where<br />
structures have a backdrop of sky rather than land. Further constraints were added <strong>to</strong> this<br />
subset for the <strong>to</strong>wn of Kent. A 1000’ buffer from the viewshed ridgelines was created<br />
and given a grid value of 1. A slope gradient map was generated from the DEMs and<br />
reclassified <strong>to</strong> indicate slope gradients >= 15% (grid value = 1), or slope gradients < 15%<br />
(grid value = 0). A dataset of steep slopes OR ridgeline buffer was combined. A subset<br />
of all horizon belts was derived from an intersection with this grid of constraints.