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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Veröffentlicht in:	International journal of geographical information science : IJGIS Jg. 37; H. 8; S. 1728 - 1764
Hauptverfasser:	Mistick, Katherine A., Campbell, Michael J., Thompson, Matthew P., Dennison, Philip E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 03.08.2023 Taylor & Francis LLC
Schlagworte:	Algorithms Landscape Lidar Machine learning Mapping random forest Scale models Terrain Vegetation Viewshed Visibility Visibility maps
ISSN:	1365-8816, 1362-3087, 1365-8824
Online-Zugang:	Volltext
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