Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) - 2040 - 0.2m SLR
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  Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) - 2040 - 0.2m SLR

dataset: ASCCIE_2040_02mSLR
The Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) is a digital dataset consisting of multiple spatial layer outputs from modelled erosion scenarios. The dataset is recommended for use at the statewide / regional scale along the Victorian coastline. Application of the data should be guided by the accompanying Victorian Coastal Cliff Assessment technical reports and expert advice. The product is not suitable for individual property scale assessments. Consolidated shorelines, which include soil and rock cliffs, are not able to rebuild following periods of erosion but rather are subject to a one-way process of degradation. ASCCIEs typically have two components: • Toe Erosion A gradual retreat of the cliff toe caused by weathering, marine and bio-erosion processes. This retreat will be affected by global process such as sea level rise and potentially increased soil moisture. Future cliff toe position based on historical erosion rates with a factor applied to allow for the effect of future sea level rise. • Cliff Instability Episodic instability events are predominately due to a change in loading or material properties of the cliff or yielding along a geological structure. In soft cliffs, instability causes the cliff slope to flatten to a slope under which it is “stable” (geo-mechanically). Soil cliff slope instabilities are influenced by processes that erode and destabilise the cliff toe, including marine processes, weathering and biological erosion or change the stress within the cliff slope. Most of the hard cliffs are stable at very steep angles. Instability events may range from small-scale instabilities (block or rock falls) or discontinuities, to cliff slope instability cause by large-scale and deep-seated mass movement. The latter mode of failure in hard cliffs is rare. The product is an update to the Victorian Coastal Cliff Assessment, Stage 1. Included datasets for Stage 2a supersede the Stage 1 outputs. The Stage 2a project report should be read in conjunction with the Stage 1 report. Application of the data should be guided by the accompanying "Victorian Coastal Cliff Assessment, Stage 2a technical report" (Tonkin & Taylor 2025) read in conjunction with the Stage 1 technical report, combined with appropriate expert advice.
 
Citation proposal Citation proposal
(2026)

Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) - 2040 - 0.2m SLR

Department of Energy, Environment and Climate Action

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/f6afe54d-a7f4-4a3f-9fa2-4fd7e0c08acb
 
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints
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Description

Title
Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) - 2040 - 0.2m SLR 
Alternate title
ASCCIE_2040_02mSLR 
Resource Type
Dataset  
Purpose
Regional / state-wide scale 
 
 

Temporal

Time period
2024-02-272025-07-30 
 
 

Spatial

Spatial representation type
Vector  
Horizontal Accuracy
10m  
 

 

Maintenance

Maintenance and update frequency
As needed  
 
 

Format

Title
File geodatabase, shapefile 
 
 

Contacts

  Point of contact

Department of Energy, Environment and Climate Action - Coast Kit   ()  

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Environment
  • Oceans
 
 

Resource Constraints

Classification
Unclassified  
 
 

Lineage

Statement
Areas susceptible to coastal cliff instability and/or erosion (ASCCIE) Consolidated shorelines, which include soil and rock cliffs, are not able to rebuild following periods of erosion but rather are subject to a one-way process of degradation. ASCCIEs typically have two components: • Toe Erosion A gradual retreat of the cliff toe caused by weathering, marine and bio-erosion processes. This retreat will be affected by global process such as sea level rise and potentially increased soil moisture. Future cliff toe position based on historical erosion rates with a factor applied to allow for the effect of future sea level rise. • Cliff Instability Episodic instability events are predominately due to a change in loading or material properties of the cliff or yielding along a geological structure. In soft cliffs, instability causes the cliff slope to flatten to a slope under which it is “stable” (geo-mechanically). Soil cliff slope instabilities are influenced by processes that erode and destabilise the cliff toe, including marine processes, weathering and biological erosion or change the stress within the cliff slope. Most of the hard cliffs are stable at very steep angles. Instability events may range from small-scale instabilities (block or rock falls) or discontinuities, to cliff slope instability cause by large-scale and deep-seated mass movement. The latter mode of failure in hard cliffs is rare. A LiDAR survey of the Victoria region was undertaken between 2006 and 2009 by the Department of Sustainability and Environment and provides full coverage of the entire Victorian coastline. This LiDAR was processed into a Digital Elevation Model (DEM) surface and has a grid resolution of 2.5 m x 2.5 m. In addition to the 2006-2009 LiDAR, there is more recent higher resolution LiDAR coverage of localised areas within Victoria. These additional data sets are as follows: • Victorian Coastal LiDAR Level 3 Classification (Port Phillip Bay & Western Port and East & West Victoria). This dataset consists of a reprocessed DEM from the original 2006-2007 LiDAR data. • 2017-2018 Greater Melbourne LiDAR. This dataset consists of 1m DTM (Digital Terrain Model) of 12,000 km2 of coast across the Greater Melbourne region. • 2019-2020 Great Ocean Road Elevation and Photography. This dataset consists of a 0.5m grid resolution DEM. • 2020-2021 Bayside Yarra LiDAR. This dataset consists of a DEM with data captured at 24 pts/m2. All of these LiDAR datasets were used in combination for the entire cliffed shoreline, with the highest resolution and most recent LiDAR data being used for each location. Figure 3.2 shows the LiDAR dataset extents that have been used for this study. 3.1.2 Coastal transects In addition to the LiDAR DEMs and DTMs described above, coastal transects were provided by DEECA for the full length of the Victorian coast. These transects are 400 m long and spaced at 30 m increments along the shoreline (see example of transects in Figure 3.1). For this project some transects (e.g. at very high cliffs) have been extended to capture the entire cliff profile. Further information in the study report "Victorian Coastal Cliff Assessment", Tonkin and Taylor, Sep 2023 
Description
Modelled dataset based on Lidar data, coastal transects and modelled coastal water / tidal levels 
 
 

Metadata Constraints

Use limitation
Unknown 
Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Comments
Mapping of the ASCCIE or ASTaR inherently introduces errors due to the mapping method and resolution. For this assessment transects at 30 m alongshore intervals have been used, with straight lines interpolating between output points. This could result in jiggered lines when zooming in too close. Furthermore, the mapping tool does not always accurately identify the cliff toe and cliff crest as a result of cliff profile/geometry. This is particularly evident for non-cliffs or very gentle slopes. Some manual edits have been made interpolating between adjacent transects using engineering judgement. 
Conceptual Consistency
Missing Data
Excess Data
 
 

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