Location Metadata System

Dataset Number	2560
Dataset Title	Adelaide Suburban Greenness 1987-2020
Status	Published
Metadata Maintained by	DEW INFO

Description

Category	Land Cover
Theme	Interpretation and classifications
Keywords and Qualifiers	HUMAN ENVIRONMENT - Indicators LAND Cover - Statistics VEGETATION - Statistics
Dataset Type	Textual
Description	This dataset contains the mean Summer greenness values for each of 411 suburbs within the greater Adelaide metropolitan region for each year from 1987 to 2020. The values have been derived from the Joint Remote Sensing Research Program's Fractional Cover 2 (Landsat) product.
Dataset Use	Inform decision making and guiding investment in greening works by DEW, the Green Adelaide Landscape board, and partner agencies.
SDE Feature Class Name	Adelaide_SuburbanGreenness_1987to2020.xls
Projection/ Coordinate System	LAMBERT

Custodian

Data Authority

Data Authority	Department for Environment and Water
Data Authority Name	Matthew Ward
	Director, Science and Information
Data Manager	Matt Royal
	Manager Geospatial Environmental Data & Info
	Department for Environment and Water
	Matthew.Royal@sa.gov.au
	8124 4880
Subject Matter Expert	James Cameron
	Coordinator, Image Data
	Department for Environment and Water
	james.cameron@sa.gov.au
	8463 3944
Data Integrity Officer	Shaun Dwyer
	GIS Administrator
	Department for Environment and Water
	shaun.dwyer@sa.gov.au
	08 84636974

Data Provider

Department for Environment and Water

Data Quality

Lineage

33 years of Seasonal Fractional Cover data covering the Summer quarter (Dec, Jan, Feb) was downloaded and analysed within ESRI's ArcGIS 10.6 software. All suburbs fully or partially within the Green Adelaide Landscape board were identified and copied into a vector spatial layer. Zonal statistics were generated for each suburb for each of the 33 sets of data including cell count, total cell area, percentage of each suburb covered by remotely sensed data, and mean greenness fraction. Results were exported into a Microsoft Excel spreadsheet where additional statistics were generated including mean long-term greenness, suburb ranking from greenest to least green, and deviance from Adelaide's long-term average. Fractional cover computes the proportion of each pixel (30 x 30m) that is green, non-green, and bare. Further detail can be found here

Completeness

The dataset covers all 411 suburbs fully or partially located within the Green Adelaide Landscape Board boundary. Only partial satellite data was available in some years, for some suburbs primarily due to cloud and/or sensor issues. In cases where no data was available for a given suburb in any given year, the Coverage is reported as '0' and the Greenness value is reported as '-100'.

Positional Accuracy

The derived fractional cover dataset is comprised of 30m pixels with an estimated positional accuracy of +/-15m. The suburb boundary vector data has an estimated positional accuracy of +/-5m within the Adelaide metropolitan region.

Method / Capture Scale

Method	Capture Scale	Comment
Satellite imagery	Variable	LANDSAT derived seasonal fractional cover
Derived from existing data	Variable	Suburb boundaries - vector GIS layer

Tables

Table Name
Primary Table

Field Description

Table	Name	Field Alias	Data Type	% Complete	% Accuracy	Description
Primary Table	SUBURB	Nil	text	100	100	Officially gazetted name of suburb
Primary Table	8788_GREEN	Nil	Floating Point	100	100	Mean green fraction for all non-Null cells within the boundary of each suburb for the period December 1987 to March 1988
Primary Table	8788_COVER	Nil	Floating Point	100	100	Percentage of each suburb covered by non-Null 30m x 30m cells for the period December 1987 to March 1988. This gives a measure of confidence in greenness values. Ie higher percentage means more valid pixel readings were available. Very low percentages may influence confidence in trends.
Primary Table	xxxx_GREEN	Nil	Floating Point	100	100	Mean green fraction for all non-Null cells within the boundary of each suburb for the period December to March of the given years eg 1516 = 2015/2016
Primary Table	xxxx_COVER	Nil	Floating Point	100	100	Percentage of each suburb covered by valid 30m x 30m cells for the December to March period of the given years eg 1516 = 2015/2016
Primary Table	33YR_AVERAGE	Nil	Floating Point	100	100	The mean greenness value for the suburb over the 33 years of data.
Primary Table	Suburban Greenness Ranking	Nil	Floating Point	100	100	Suburbs ranked by their long term (33 year) average greenness. 1 being the greenest, 411 being the least green
Primary Table	Deviance from Average	Nil	Floating Point	100	100	Number of percentage points above or below the long term (33 year) mean greenness of greater Adelaide (30.6%)
Primary Table	Change in Greenness	Nil	Floating Point	100	100	The suburb's mean greenness change in percentage points from the Summer of 1990/1991 to the Summer of 2018/2019

Geographic Extent

Extent Name	Greater Adelaide
Min Easting or Longitude	138
Min Northing or Latitude	-35
Max Easting or Longitude	138
Max Northing or Latitude	-34

Dataset Status

Initially Acquired	29-Mar-21
Last Updated	10-JUN-21
Update Frequency	As required
Maintenance Method	New summer season fractional cover data will be downloaded and zonal statistics generated within GIS to determine each suburb's percentage of imagery coverage and mean green fraction. Long term average, ranking, and deviance from average will be recalculated for each suburb.
Metadata Created	10-JUN-2021
If copied, source dataset
Metadata updated	18/JUN/21 env\croberts
Authorised	11/JUN/21 env\croberts
Metadata Retired

Security Classification

ISMF Classification	Public
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

Related Datasets and Associated Products

Adelaide Suburban Greenness 1987-2020