The National Land Account is produced by the Australian Bureau of Statistics (ABS) and released under the Common national approach to environmental-economic accounting in Australia. These experimental estimates have been developed in collaboration with the Department of Agriculture, Fisheries and Forestry (DAFF) and Geoscience Australia (GA), including their respective internal research areas: the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Digital Earth Australia (DEA).
National Land Account, Experimental Estimates methodology
Concepts
This account is part of a suite of environmental-economic accounts produced by the ABS based on the United Nations System of Environmental-Economic Accounting (SEEA). The SEEA framework extends the boundaries of the System of National Accounts (SNA) framework to include environmental resources, which occur outside economic production boundaries measured by the SNA.
The SEEA Central Framework (SEEA CF) uses a systematic approach to organise environmental and economic information. It covers, as completely as possible, the stocks and flows relevant for analysis of environmental and economic issues. This framework applies accounting concepts, structures, rules and principles of the SNA. Environmental-economic accounts deliver important extensions to SNA accounts. These accounts may include physical supply and use tables, functional accounts (such as environmental expenditure accounts), and asset accounts for natural resources.
For this account the physical asset and change matrix tables align with the SEEA CF where possible. Where data is unavailable to complete the tables, 'na' has been used to maintain the SEEA account framework. The inclusion of land cover, land use and land value (monetary asset) are standard to the SEEA CF. Land tenure is of particular interest to the Australian community and is included in these accounts.
Scope and coverage
Land use, cover and tenure are comprised of:
- Physical asset account tables
- Change matrix tables
- Cross-classification tables
- Statistical area level 2 datasets.
Land value is comprised of:
- Asset account tables.
The SEEA CF definition of land is:
"Land is a unique environmental asset that delineates the space in which economic activities and environmental processes take place and within which environmental assets and economic assets are located."
The SEEA CF provides guidance for standardised asset account tables (physical and monetary) and change matrix tables. The ABS has previously experimented with land cover by use tables in state-based land accounts. Feedback has indicated that these tables provide improved data insights. Therefore, the ABS is including cross-classification tables (land use by cover, use by tenure and tenure by cover) with this publication. While the land cover data are on a different temporal basis to the land use and tenure information, cross-classifications of all three datasets have been provided in this publication to show the potential in these data.
Change matrix table
The change matrix tables (Tables 1.10 to 1.18, 2.10 to 2.18, 3.10 to 3.18 and 8.2, 8.4 and 8.6) show how characteristics of land transitioned between two time points. The rows of the matrix start with an opening stock position for the first time point and finish with a closing stock position for the second time point. The data in each column represents the net change between the two intersecting categories, that is the movements in and out of these combinations of classes. A positive change represents an overall increase in the land class and a negative change represents an overall decrease in the land class.
In the table below we can see that trees had 80 units in the first time period (the opening stock) and 110 units in second time period (the closing stock). The values in the rows give the movement to the class represented in the column. For instance, we can see that 10 units from grass and 20 units from bare earth transitioned to trees. By summing these values, we get the net change from the opening stock to the closing stock. In this case 30 units transitioned to trees from other classes. Looking at bare earth there was an opening stock of 60 and a closing stock of 45. From the rows we can see that overall 20 units of bare earth transitioned to trees and that 5 units transitioned from grass to bare earth between the two time periods. The net change indicates that overall 15 units transitioned out of bare earth to other classes.
From | Trees | Grass | Bare Earth |
---|---|---|---|
Opening stock | 80 | 70 | 60 |
Trees | 0 | -10 | -20 |
Grass | 10 | 0 | 5 |
Bare Earth | 20 | -5 | 0 |
Net change | 30 | -15 | -15 |
Closing stock | 110 | 55 | 45 |
Data standards and geography
The National Land Account data standards and statistical geography was developed to provide consistency in data development approaches and facilitate alignment of input datasets to produce account-ready datasets. These steps spatially enable the compilation, analysis and interpretation of the National Land Account. The data standards and statistical geography sections outline dataset specifications and linkages to the geographic boundary for the National Land Account and sub-national reporting areas.
Data standards
The National Land Account data specifications are as follows:
- Format: raster
- Cell resolution: 250m (also referred to as the Basic Spatial Unit, BSU)
- Coordinate system: GDA94 datum with Australia Albers EPSG3577 projection
aulx: -2189542.25149
auly: -1047686.305317
alrx: 2468707.74851
alry: -4964936.305317
- Attribution or resampling rule: categorical data by mode (GA) or maximum combined area (ABARES), numerical data by bilinear rule, nearest neighbour for reprojection and sub setting
- Boundary cell rule: included if the raster cell centroid is within the boundary, excluded if the centroid is not within the boundary.
Statistical geography
The statistical geography used by the National Land Account is based on the Australian Statistical Geographic Standard (ASGS, 2021 version) – a geographic classification of Australia into a hierarchy of statistical areas. The 2021 ASGS Statistical Area 2 (SA2) boundaries were converted to a 250m raster to align with the National Land Account data standards. This conversion and resampling of the original dataset to match the coarser resolution of the National Land Account data specification will impact SA2 area totals compared to the area published in the ASGS, 2021 version.
There are over 2400 SA2 areas defined in the 2021 ASGS. However, SA2s that cover Christmas Island, Cocos (Keeling) Islands, Lord Howe Island and Norfolk Island have been excluded from the SA2 raster and are not included in the National Land Account. These SA2s are not within the geographic coverage of the DEA land cover and ABARES land use and tenure spatial products. SA2s are designed to reflect functional areas that represent a community that interacts together socially and economically. They consider suburb and locality boundaries to improve the geographic coding of data to these areas, and in major urban areas, SA2s often reflect one or more related suburbs. The SA2 is the smallest area for the release of many ABS statistics.
As the ASGS is a hierarchical system, SA2 level data can be aggregated to broader geographic regions within the ABS geographic structures, such as states and territories. Accordingly, national, state and territory figures in the National Land Account have been compiled by aggregating the data from SA2s included in the raster product. For the purposes of aggregating to states, the Jervis Bay SA2 is included in New South Wales figures.
Data sources
Land use data
ABARES land use and associated land use change
The Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) is the research arm of the Department of Agriculture, Fisheries and Forestry (DAFF). ABARES works in partnership through the Australian Collaborative Land Use and Management Program (ACLUMP) to develop nationally consistent land use information for Australia. This work is overseen by the National Committee for Land Use and Management Information (NCLUMI).
ABARES has produced spatial land use and land use change products for the financial years 2020–21, 2015–16, and 2010–11. This is an update to products for financial years 2010–11 and 2015–16. The spatial products are consistent with the BSU raster format as required in the National Land Account data standards and statistical geography.
The spatial mapping utilises the nationally standardised Australian Land Use and Management (ALUM) Classification (version 8), jurisdictional land use spatial products and agricultural commodity modelling based on the ABS Agricultural Census. The spatial products are in raster format with a 250m resolution. The smallest unit of measure is 6.25 hectares. Classes with small estimates are less reliable and should be used with caution. Information on the spatial data and the latest version of the land use data can be found on the ABARES website.
Land use data included in this publication is preliminary. As a result, estimates will differ from the published national scale Land use of Australia 2010–11 to 2020–21 data when published by ABARES on 28 November 2024 at DOI 10.25814/w175-xh85.
In summary:
- There are differences for all three time periods.
- 2020–21: a difference of 1.95 million hectares is expected. The largest increase is in managed resource protection (1.84 million hectares) and the largest decrease in grazing native vegetation (1.81 million hectares).
- 2015–16: a difference of 2.4 million hectares is expected. The largest increase is in managed resource protection (1.65 million hectares) and the largest decrease in grazing native vegetation (1.66 million hectares).
- 2010–11: a difference of 0.13 million hectares is expected. The largest increase is in grazing native vegetation (0.13 million hectares) and the largest decrease is in water (0.13 million hectares).
Land cover data
DEA land cover and associated land cover change
Digital Earth Australia (DEA) is a program within Geoscience Australia (GA), Australia’s public sector geoscience organisation.
The data source used to compile the land cover physical asset tables is the DEA Land Cover (Landsat) version 1.0. The DEA platform uses spatial data and images recorded by satellites orbiting our planet to detect physical changes across Australia. The DEA land cover spatial products provide consistent, continental, annual land cover classifications for Australia. The classification is based on the Food and Agriculture Organisation (FAO) Land Cover Classification System (LCCS, version 2), a globally accepted land cover classification standard. The spatial products in the National Land Account have been resampled to a 250m resolution to be consistent with the chosen BSU raster format in accordance with data standards and statistical geography. Account-ready data have been provided by GA and DEA for 2010, 2015 and 2020 calendar years.
For comprehensive details on the specifications, generation and accuracy of the land cover product, users should refer to DEA Land Cover (Landsat) - DEA Knowledge Hub. It is important to note that the land cover product is regularly updated, and accuracy may vary between classes. Consequently, estimates for classes with lower accuracy or specific limitations should be approached with caution in this publication.
Land tenure data
ABARES land tenure and associated land tenure change
ABARES has produced spatial tenure products for the 2020–21 financial year and updated products for 2010–11 and 2015–16. The spatial products are consistent with the BSU raster format as required in the National Land Account data standards and statistical geography.
The methodology combines jurisdictional land title information from digital cadastre databases and other sources into a national classification. The spatial products are in raster format with a 250m resolution. The smallest unit of measure is 6.25 hectares. Classes with small estimates are less reliable and should be used with caution. More information is available at Land tenure of Australia 2010–11 to 2020–21.
Land value data
Land value data used in this release of the National Land Account are sourced from the ABS Australian System of National Accounts (Table 61, Value of land, by land use by state/territory - as of 30 June, current prices).
These data have been produced using modelling and input data from a range of sources including ABS public finance data, ABS value of residential dwelling stock data and state and territory Valuer Generals data. Further detailed information around the methodology used is outlined in the Australian System of National Accounts: Concepts, Sources and Methods.
National Accounts land value data are available at the state/territory and national level. There are four identified land use categories - residential, commercial, rural and other. Data are released annually with a reference of as at 30 June each year.
For the land account tables the “other” category has been classified as “government” as these data pertain to publicly-owned land.
Classifications
The table structure for the land accounts follows guidelines outlined in the SEEA CF.
The classifications and definitions listed below are specific to each account table presented in this release.