Contacts

Identifiers and Keywords

Topic category

• Environment

Resource Constraints

Use limitation

Unknown 

Classification

Unclassified  

Other Dataset Details

Date

Purpose

Coastal planning, marine ecology 

Maintenance and update frequency

Annually  

Spatial

Spatial representation type

Vector  

Temporal

Begin date

2023-10-10 

End date

2023-10-10 

Resolution

Horizontal Accuracy

1m  

Quality

Positional Accuracy

1m 

Lineage

Statement

VCMP Sites - Shoreline Profile Timeseries The Shoreline Profile Timeseries dataset features short-term and long-term shorelines ranging from 1930 to 2023 across sites monitored by the Victorian Coastal Monitoring Program (VCMP) along Victoria's coastline, spatially represented as point data. Cross-sections are extracted for datasets with elevation models, including: - Digital Surface Models (DSM) from UAV surveys, includes vegetation. - Victorian Coastal Digital Elevation Model (VCDEM, updated 2022), most coastal survey data are from c. 2008 – 2010, excludes vegetation. - Use caution when comparing onshore (backshore) sections of the profile, as VCMP UAV surveys DSMs include vegetation and cannot be directly compared with the VCDEM (no vegetation). Output products include 1m Digital Surface Models (DSM) and Orthophotos (vegetation is included in UAV data). - Vertical uncertainty for the output digital surface model (DSM) is estimated at 0.1 m. - The shoreline proxy is defined as the point at which each transect first intersect a given contour (m, AHD): 1.0 m AHD for open coasts and 0.5 m AHD for bay sites - Intersection points are joined alongshore to create a shoreline, noting the alongshore spacing (30-m) may be too low to define complex, small-scale features. - Assuming a beach face slope of 1-in-10, a 0.1 m vertical uncertainty in the survey DSM equates to cross-shore uncertainty of 1 m in shoreline position. Digital Earth Australia (DEA) coastlines A mean annual mid-tide shoreline is extracted from satellite imagery using sub-pixel identification methods, for the period 1988 to 2021, at 30-m alongshore spacing (Bishop-Taylor et al., 2021). - DEA shorelines have an estimated uncertainty of 1-3 m, with a precision limit on shoreline trends of 0.31 m/yr, i.e., trends below this threshold are insignificant. - DEA have known issues around cliffed areas, leading to higher (unconstrained) uncertainty in some cliffed areas. DEA outputs in such areas should be treated with caution. Aerial Imagery Shorelines Aerial images are hosted and geo-rectified by DEECA's Coordinated Imagery Program. Based on control point checks by VCMP, newer images (approx. post-2000) are estimated to have horizontal uncertainty of 3-m or less. Older images (pre-2000) can have greater uncertainty, estimated at up to 10-m. Older images (<1960) may have larger errors (unconstrained) and should be treated with caution. - Backshore line: Extracted for open coast and bay sites. Identified manually as the onshore extent of the active sandy beach. Depending on morphology, the backshore line may be defined vegetation, dune toe, cliff toe and / or a coastal protection structure (sea wall or revetment). - Shoreline proxy line: Extracted for bay sites only (with low wave energy). Identified manually as the instantaneous wet/dry line, with no tidal correction. - Sites with larger tidal ranges (e.g., Cowes) would be expected to have larger uncertainty in shoreline position and caution is advised. All shoreline data (short-term VCMP drone and long-term DEA satellite) are interpolated to the same set of 30-m spaced transects, based on the Digital Earth Australia 2019 product. More information about the Shoreline Timeseries dataset and other datasets generated from the Victorian Coastal Monitoring Program can be found at References: Bishop-Taylor, R., Nanson, R., Sagar, S., & Lymburner, L. (2021). Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery. Remote Sensing of Environment, 267, 112734. Ierodiaconou, D., Kennedy, D. M., Pucino, N., Allan, B. M., McCarroll, R. J., Ferns, L. W., ... & Young, M. (2022). Citizen science unoccupied aerial vehicles: A technique for advancing coastal data acquisition for management and research. Continental Shelf Research, 244, 104800. Pucino, N., Kennedy, D. M., Carvalho, R. C., Allan, B., & Ierodiaconou, D. (2021). Citizen science for monitoring seasonal-scale beach erosion and behaviour with aerial drones. Scientific reports, 11(1), 3935. 

About the Metadata Record

Metadata identifier

urn:uuid / 6be592c6-ad3f-4827-947a-101231a47989