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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.

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