Using airborne lidar and machine learning to predict visibility across diverse vegetation and terrain conditions

Visibility analyses, used in many disciplines, rely on viewshed algorithms that map locations visible to an observer based on a given surface model. Mapping continuous visibility over broad extents is uncommon due to extreme computational expense. This study introduces a novel method for spatially-e...

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Bibliographic Details

Published in:	International journal of geographical information science : IJGIS Vol. 37; no. 8; pp. 1728 - 1764
Main Authors:	Mistick, Katherine A., Campbell, Michael J., Thompson, Matthew P., Dennison, Philip E.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 03.08.2023 Taylor & Francis LLC
Subjects:	Algorithms Landscape Lidar Machine learning Mapping random forest Scale models Terrain Vegetation Viewshed Visibility Visibility maps
ISSN:	1365-8816, 1362-3087, 1365-8824
Online Access:	Get full text
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