SA Land Cover

Dataset Number 2029
Dataset Title SA Land Cover
Status Published
Metadata Maintained by DEW SMK

Description

Category Land Cover
Theme Interpretation and classifications
Keywords and Qualifiers LAND Cover - Models
LAND Cover - Monitoring
PHOTOGRAPHY AND IMAGERY Remote Sensing - Models
VEGETATION - Models
Dataset Type Spatial
Description South Australian Land Cover provides a consistent through time, whole-of-state, spatial land cover data set for 6 epochs (1987-1990, 1990-1995, 1995-2000, 2000-2005, 2005-2010 and 2010-2015). The dataset uses Landsat satellite imagery and local calibration (or training) data. The most likely layers (one for each epoch) classify each pixel in to one of 17 land cover classes. The dataset provides additional evidence for use alongside other South Australian mapping products to measure and map native and non-native land cover types.
Dataset Use This dataset can be used to inform spatial and temporal (5-yearly) summaries of the described land cover types for SA. The capture method and general nature of the classes are most useful for landscape and regional scale assessment (1:50,000 scale or smaller). Localised or paddock scale applications may encounter classification errors as a result of the modelling method that characterises spectral similarity. Note: it should not be assumed that this dataset represents a definitive land cover class at any given pixel, rather it aims to provide a consistent spectral description of land covers through time / between epochs. Associated datasets can be obtained by contacting the Data Authority where the class definitions, spatial resolution and five year time intervals are appropriate for a particular type of analysis or application.

Please Note: These layers are provided in a geographic coordinate system and as such should not be used to calculate measured area summaries. Area summaries will differ from those reported by DEW if all grid cells are assumed to have an area of 625 square metres (25 m x 25 m). To calculate area summaries a supplementary GIS layer, SA Scaled Area Grid, available from Data.SA, can be used with GIS techniques to provide area summaries in square metres.

SDE Feature Class Name LANDSCAPE.SA_Landcover_(year_range)
Projection/ Coordinate System GEOGRAPHIC

Custodian

Data Authority

Data Authority Department for Environment and Water
Data Authority Name Sandy Carruthers
Executive Director, SSCS
Data Manager Amy Teitzel
Principal Advisor, Environmental Information
Department for Environment and Water
Amy.Teitzel2@sa.gov.au
81244717
Subject Matter Expert Amy Teitzel
Principal Advisor, Environmental Information
Department for Environment and Water
Amy.Teitzel2@sa.gov.au
81244717
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 SA Land Cover outputs are the product of a research collaboration between DEW, the Arthur Rylah Institute for Environmental Research (ARI) and Geoscience Australia (GA) as described in a Technical summary report. The Most Likely layers have been generated using machine learning and remote sensing techniques to characterise Landsat pixels according to statistical similarity across Landsat spectral bands. The modelling summarises similarity within seasons and then for the six 5-year epochs - (1987-1990, 1990-1995, 1995-2000, 2000-2005, 2005-2010 and 2010-2015). This process was informed and validated by a dataset of 322,330 training points across SA with variations in temporal and spatial context. These were collected/collated in conjunction with departmental and external stakeholders. Some independent variable layers have also been incorporated in the modelling approach to support the classification model including ALOS radar, Landsat band max/min differences and other indices. The six most likely layers containing 17 land cover classes, were generated by ARI from rules based on the combination of primary input layers. These include probability and confidence layers for 55 modelled continuous land cover classes (the continuous layers are not described further in this metadata record). The 17 land cover classes have been develop as part of an iterative process which included feedback from stakeholders, reinterpretation and post- processing after considerable QA/QC through four major ARI iterations. Some land cover types in certain locations have been re-classified (cleaned) to update any gross class-based misclassifications identified as part of the QA /QC process. A DEW technical note that describes the post-processing undertaken is available upon request.
Completeness Dataset may be considered complete for the six 5 year epochs (1987-1990, 1990-1995, 1995-2000, 2000-2005, 2005-2010 and 2010-2015). As data validation and update processes are determined these layers may be superseded by subsequent versions.
Positional Accuracy The positional accuracy is dependent on the original source of the imagery and the modelling process and where applicable exemplar data has been provided. Although the land cover models layers have not been projected from a Geographical Coordinate System the minimum area of mapping is approximately 25 m x 25 m (1:50,000) in line with the underlying Landsat archive outputs obtained from GA.
Method / Capture Scale
MethodCapture ScaleComment
Satellite imageryVariableLandsat TEM Images
GenerateVariableModelling outputs
Derived from existing dataVariableField varified training Data

Tables

Table Name
1) Raster Attribute Table
2) Look Up Table

Field Description

TableNameField AliasData Type% Complete% AccuracyDescription
1) Raster Attribute TableVALUE Integer>95>95The raster value of each pixel (1-17)
2) Look Up TableLC_NAME text>95>95The name of the most likely land cover corresponding to the value within each pixel
2) Look Up TableLC_DESC Integer>95>95A short description of the most likely land cover corresponding to the value within each pixel
2) Look Up TableLC_GEN_CDE Integer>95>95A code relating to a generalised DEWNR version of land cover codes. This code relates to the native/ non- native vegetation class determination of each pixel.
2) Look Up TableLC_CODE Integer>95>95The assigned most likely land cover class code - directly linked to the value of each raster pixel
2) Look Up TableLC_GEN_NME text>95>95The name of the generalised land cover assigned to DEWNR's generalised land cover code.
2) Look Up TableLC_GEN_DSC text>95>95The generalised land cover description assigned to DEWNR's generalised land cover code.

Geographic Extent

Extent NameSouth Australia
Min Easting or Longitude129
Min Northing or Latitude-38.25
Max Easting or Longitude141
Max Northing or Latitude-26

Dataset Status

Initially Acquired 01/03/2015
Last Updated 16/10/17
Update Frequency As required
Maintenance Method Datasets are updated as required - either by the data authority's in-house data validation process analysis or rerunning the remote sensing modelling using adopted methodology created by the collaboration partners. The current version 4.4 was finalised in October 2017 is documented in a Technical summary report.
Metadata Created 15-JUN-2017
If copied, source dataset
Metadata updated 01/SEP/21 env\dthompson
Authorised 14/NOV/17 env\mroyal
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 Issue exists regarding supply of data at whole of dataset level

Operator Notes

Related Datasets and Associated Products
1) SA Land Cover Layers 1987- 2015 - Continuous Layers
2) SA Ecosystem Typology Models - Layers to be confirmed.
3) SA Scaled Area Grid
4) For more information, please contact the South Australian Department of Environment and Water (topic: SA Land Cover, Science & Information Branch).