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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Vydané v:	International journal of geographical information science : IJGIS Ročník 37; číslo 8; s. 1728 - 1764
Hlavní autori:	Mistick, Katherine A., Campbell, Michael J., Thompson, Matthew P., Dennison, Philip E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 03.08.2023 Taylor & Francis LLC
Predmet:	Algorithms Landscape Lidar Machine learning Mapping random forest Scale models Terrain Vegetation Viewshed Visibility Visibility maps
ISSN:	1365-8816, 1362-3087, 1365-8824
On-line prístup:	Získať plný text
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