Dataset Number 1146 Dataset Title Coastal Landscape Summary - Generalised Status Published Metadata Maintained by DEW INFO

Description Category Coasts Theme Coastal features Keywords and Qualifiers MARINE Coasts Dataset Type Spatial Description A generalised coastal landscape summary for the coastal strip 1Km wide along the entire South Australian shoreline. The generalised classification is a desktop GIS study using existing data Dataset Use This layer forms part of the wider Coastal Vision Project developed within Natural and Cultural Heritage for 2004. It is intended to give a broad indication of the landscape present within a 1Km coastal strip, particularly the extent of development and areas of possible developmental pressure along the coast. SDE Feature Class Name Coastal.LandscapeSummary Projection/ Coordinate System LAMBERT

Custodian Data Authority Data Authority Department for Environment and Water Data Authority Name Merridie Martin Director Data Manager David Osborn Manager, Coast Department for Environment and Water David.Osborn2@sa.gov.au 8429 7606 Subject Matter Expert Alison Turner Scientific Officer Department for Environment and Water Alison.Turner@sa.gov.au 8124 4891 Data Integrity Officer Matt Royal Environmental Knowledge Advisor Department for Environment and Water matthew.royal@sa.gov.au 81244880

Data Provider Data Provider Department for Environment and Water

Data Quality Lineage The coastal landscape summary is a generalised dataset created using existing data sources. The summary consists of many 500x500m zones, generated from a lattice of mesh points orgins then clipped to a 1km coastal strip along the entire South Australian coastlineSELECT 1 FROM DUAL; used as the framework for the classification. To classify each summary zone a number of data layers considered natural(e.g saltmarsh, perminent waterbodies, veg cover & sand dunes) and Planning SA zoning areas consided developed(and additional shack location data) were rasterised using ESRI Spatial Analyst. Once rasterised the percentage of each summary zone considered natural and developed was calculated using zonal statistics. Based on pre-defined percentage levels each summary zone was then classified as one of 5 broad landscape types: Natural, Semi-Natural, Non-Natural, Semi-Developed & Developed. It is important to note that this Datset is a generalised summary of coastal landscape and the position of features within certain summary zones is a direct result of the accuracy of each layer of existing data. In addition the landscape summary has been altered using surrogate infomation to reflect the true nature of the landscape were underlying data sources were considered incomplete and lacking detail. Completeness The dataset is considered complete as of September 2004 Positional Accuracy Postional accuracy of the data relates directly to the manner in which the summary zones were generated originally. In that process a mesh of grid points were generated, forming the orgin of the summary zones throughout the state. These summary zones were then clipped by a topographic coastline mapped at 1:50000 scale. In doing so the summary zones' positional accuracy will relate directly to that of the topograhic data used when clipping and as such may be considered +/- 25m. Method / Capture Scale Method Capture Scale Comment Generate Variable

Tables

Field Description

Geographic Extent Extent Name Coastal SA Min Easting or Longitude 129 Min Northing or Latitude -38 Max Easting or Longitude 141 Max Northing or Latitude -31

Dataset Status Initially Acquired 01-JUN-2004 Last Updated 21-SEP-2004 Update Frequency As required Maintenance Method Incorporate improved data sources and regenerate the landscape summary. Metadata Created 12-MAY-2015 If copied, source dataset Metadata updated 18/APR/24 env\bpellegrino Authorised 22/JUN/15 env\croberts Metadata Retired

Security Classification ISMF Classification OFFICIAL ISMF Integrity I2 - MODERATE Requirement ISMF Availability A2 - MODERATE Requirement AusGOAL Licensing Classification CC BY (Attribution) Attribution Further considerations for supply of dataset No

Operator Notes

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