A dataset depicting coastal protective structures captured by the Department of Primary Industries for the Future Coasts Program in 2011 using aerial photography available in the DSE image repository, known as the Coordination Image Program (CIP). This dataset was further reviewed as part of the Future Coasts SECAP project (2011/2012). Information on the condition of a number of protection structures is available as a separate (restricted) database that links to this spatial dataset.
The data was reviewed in 2017, adding asset IDs to enable linking to asset management data.
Search Words:
Environment
,
Oceans
,
Geoscientific information
Publication Date:
05 December 2023
Dataset Status:
Completeness Verification: complete
Progress:
Under development
Access Constraint:
Creative Commons Attribution 4.0 (CC-BY)
(
License Text
)
General
Data Existence:
Metadata Name
Descriptions
Resource Name:
COAST_PROTECTION_STRUCT_LINE
Title:
Coastal Protection Structures
Anzlic ID:
ANZVI0803004743
Custodian:
Owner:
Jurisdiction:
Victoria
Abstract:
A dataset depicting coastal protective structures captured by the Department of Primary Industries for the Future Coasts Program in 2011 using aerial photography available in the DSE image repository, known as the Coordination Image Program (CIP). This dataset was further reviewed as part of the Future Coasts SECAP project (2011/2012). Information on the condition of a number of protection structures is available as a separate (restricted) database that links to this spatial dataset.
The data was reviewed in 2017, adding asset IDs to enable linking to asset management data.
Search Words:
Environment
,
Oceans
,
Geoscientific information
Purpose:
Statewide overview of existing coastal protection structures, such as seawalls, groynes, revetments, etc.
Geographic Extent Polygon:
Geographic Bounding Box:
Beginning to Ending Date:
2023-11-16 - unknown
Maintainence and Update Frequency:
As needed
Stored Data Format:
Available Format(s) Types:
GDA94, decimal degrees based on GRS80
Positional Accuracy:
Sourced digital accuracy from imagery is within 50cm pixel resolution. Vector information captured at approx 1:1000 mapscale resolution. Topological testing was undertaken for shared nodes. It follows that the estimated accuracy of the spatial data is +/-2.0m.
Attribute Accuracy:
All new features have been populated for api source, capture source and retention of any original DEECA dataset attribute items and values.
Logical Consistency:
Validation for consistency and completeness for all items.
Data Source:
Dataset Source: Sourced digital accuracy from imagery is within 50cm pixel resolution. Vector information captured at approx 1:1000 mapscale resolution. Topological testing was undertaken for shared nodes.
Dataset Originality: Primary & Derived