From ACTMAPi
JSON RDF ISO19115-3 XML

ACTGOV RFMP - Trail Upgrades

Created 04/10/2024

Updated 04/10/2024

JSON RDF ISO19115-3 XML

This dataset displays the position and extents of planned fire access track and trail construction and upgrades. These sites have been identified as requiring to be upgraded from their current standard to cater for larger fire vehicles. These works have been identified in the RFMP 2019-28. The symbology is determined by the 'Required_Works' field. The current values are 'Proposed Light Unit', 'Proposed Walking Track', 'Upgraded Rigid Float'. Proposed Light Unit - To allow the safe passage of light units (4x4 Landcruiser or similar carrying a water tank of 400 – 600 litres). Generally, these features will have a width of 3 metres of natural, grass, sealed or gravel surface, corners of sufficient radius to make 3-point turns by light units unnecessary. Proposed Walking Track - Allow the safe passage of fire fighters on foot. Generally, these features will be less than 1m in width, of natural, grass, sealed or gravel surface and with vegetation maintained to allow single-file walking. Upgraded Rigid Float - To allow the safe passage of a rigid body truck carrying a D4 or equivalent sized bulldozer or machinery. Generally, these features will have the same characteristics as tanker roads but will have smaller rollovers and no switchback corners.

Files and APIs

Tags

Additional Info

Field Value
Title ACTGOV RFMP - Trail Upgrades
Language English
Licence Other
Landing Page https://devweb.dga.links.com.au/data/dataset/a20f886a-e9b4-4f50-8935-f9227e961247
Contact Point
ACT Government ACTMAPi
spatialdata@act.gov.au
Reference Period 02/03/2021
Geospatial Coverage {"type":"Point","coordinates":[0,0]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "ACTGOV RFMP - Trail Upgrades". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/actgov-rfmp-trail-upgrades

Original dataset
Dataset copies

No duplicate datasets found.