Representing Dynamic Landscapes: Temporal Point Cloud Visualisation Applications in Complex Ecologies: The Case Study of the 2020 Rosedale Fires

Melsom, J

Representing Dynamic Landscapes: Temporal Point Cloud Visualisation Applications in Complex Ecologies: The Case Study of the 2020 Rosedale Fires

Melsom, J

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Publisher:: Wichmann Verlag
Publication Type:: Journal Article
Citation:: Journal of Digital Landscape Architecture, 2022, 7, (2022), pp. 282-282
Issue Date:: 2022-05-25

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Field	Value	Language
dc.contributor.author	Melsom, J https://orcid.org/0000-0001-6703-6743
dc.date.accessioned	2022-06-26T11:01:23Z
dc.date.available	2022-12-21
dc.date.available	2022-06-26T11:01:23Z
dc.date.issued	2022-05-25
dc.identifier.citation	Journal of Digital Landscape Architecture, 2022, 7, (2022), pp. 282-282
dc.identifier.issn	2367-4253
dc.identifier.issn	2511-624X
dc.identifier.uri	http://hdl.handle.net/10453/158375
dc.description.abstract	The representation of complex landscape scenarios often requires the simplification of spatial datasets, especially in dynamic landscape contexts. This research documents a method for the implementation of multiple coincident point clouds into a temporal model that maps the transformation of the site over time, demonstrating clear contributions to areas of site response, design and management. The point cloud datasets consisted of UAV photogrammetry collected after the fire event, and municipal ALS data predating the fires. The research is focused on the specific interface of fire-affected forest and inhabited areas in the coastal community of Rosedale, NSW Australia, and demonstrates how point cloud technologies can be applied in hybrid temporal models in the spatial visualisation, comprehension, and reconstruction of these environments.
dc.language	en
dc.publisher	Wichmann Verlag
dc.relation.ispartof	Journal of Digital Landscape Architecture
dc.relation.isbasedon	10.14627/537724027
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Representing Dynamic Landscapes: Temporal Point Cloud Visualisation Applications in Complex Ecologies: The Case Study of the 2020 Rosedale Fires
dc.type	Journal Article
utslib.citation.volume	7
utslib.location.activity	Germany
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2022-06-26T11:01:18Z
pubs.issue	2022
pubs.publication-status	Published
pubs.volume	7
utslib.citation.issue	2022

Abstract:

The representation of complex landscape scenarios often requires the simplification of spatial datasets, especially in dynamic landscape contexts. This research documents a method for the implementation of multiple coincident point clouds into a temporal model that maps the transformation of the site over time, demonstrating clear contributions to areas of site response, design and management. The point cloud datasets consisted of UAV photogrammetry collected after the fire event, and municipal ALS data predating the fires. The research is focused on the specific interface of fire-affected forest and inhabited areas in the coastal community of Rosedale, NSW Australia, and demonstrates how point cloud technologies can be applied in hybrid temporal models in the spatial visualisation, comprehension, and reconstruction of these environments.

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http://hdl.handle.net/10453/158375