This dataset contains the digitised boundaries of all man made waterbodies (including farm dams) in southern Victoria and all larger man made waterbodies in northern Victoria using a combination of satellite and aerial imagery. Should be used in conjunction with FARM_DAMS_POINT. This data was updated in January 2019 to improve the usefulness of the attribute data.

Land capability for grazing in the south west of Western Australia based on analysis and interpretation of the best available soil-landscape mapping dataset (DPIRD-027). This assessment covers the grazing of sheep and cattle on broadscale dryland (i.e. nonirrigated) pastures in agricultural areas (receiving an average annual rainfall more than 350 mm). Land capability refers to the ability of land to support a type of land use without causing damage. See DAFWA Resource Management Technical Report 298 for a description of the qualities assessed and the methodology involved. Capability ratings do not take into account factors such as the availability and quality of water supplies for irrigation or climatic risks such as frost or heat stress. Such factors need to be considered as a separate layer of information.

Land capability for cropping in the south west of Western Australia based on analysis and interpretation of the best available soil-landscape mapping dataset (DPIRD-027). This assessment covers the production of rain-fed (non-irrigated) field crops under a cropping system that incorporates minimal tillage practices and stubble retention. This is a general assessment for common dryland crops grown over extensive areas (i.e. hundreds of hectares). It is best suited to the 350-600 mm rainfall zone where most extensive crops are grown (i.e. the wheatbelt), though may be extended to include some slightly higher rainfall areas. Crops included in this general assessment are wheat, barley, oats, narrow-leafed lupins, field peas, canola, chickpea and faba beans. Land capability refers to the ability of land to support a type of land use without causing damage. See DAFWA Resource Management Technical Report 298 for a description of the qualities assessed and the methodology involved. Capability ratings do not take into account factors such as the availability and quality of water supplies for irrigation or climatic risks such as frost or heat stress. Such factors need to be considered as a separate layer of information.

This dataset is the Western Australian component of a national Drainage Divisions and Basins dataset overseen by the Australian Water Resources Council. It is part of a hierarchical order of 4 datasets ranging from Subcatchments through Catchments and Basins to Divisions. The Subcatchments, Catchments and Basins are hierarchically ordered subsets of the Divisions dataset. Catchment boundaries have been defined for more than 3400 key sites on streams throughout Western Australia. The Subcatchments dataset contains polygons from which the Catchment boundaries are derived. This catchments dataset is derived from this on the basis of the CATCH_NAME field, determined by the Scientific Custodian. This dataset was formerly known as Hydrographic Catchments - Catchments (DOW-014)

Hydrological zones are a broad spatial framework grouping areas with similar hydrology. They are used to report on dryland salinity and acidification of inland waterways in the ‘Report card on sustainable natural resource use in agriculture – status and trend in the agricultural areas of the south-west of Western Australia (2013)’. Zone boundaries are derived from hydrological attributes associated with the best available soil-landscape mapping, Version 5.01.

The Wheatbelt boundary of Western Australia defines the area of cropping for wheat in Western Australia. This dataset was created in August 2009 to accurately define the limit of cropping for wheat in Western Australia. The western/southern limit was defined using interpretation of the best available aerial photography. The Clearing Line October 2002 was used to define the eastern limit of cropping. The data set updated in June 2012 to incorporate 2011 recapture of the Clearing Line to define the eastern limit of cropping.

This dataset contains the digitised centroids of smaller man made waterbodies (including farm dams) in northern Victoria using a combination of satellite and aerial imagery. Should be used in conjunction with FARM_DAMS. This data was updated in January 2019 to improve the usefulness of the attribute data.

This vector dataset is a compilation of land use data for Western Australia, as at August 2018. It has been derived from various vector datasets with attribution relevant to land use in Western Australia. The date of mapping (2008 to 2018) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. The data shows a single dominant land use for a given area, based on the primary management objective of the land manager. As a seamless spatial dataset for Western Australia, it can be used to identify, map and analyse high level land use categories (such as nature conservation, dryland cropping and irrigated horticulture) and more specific land use categories (such as aquaculture and tree fruits) including some commodities (such as bananas). These categories can be extracted or combined with other spatial datasets to provide new insights and analysis concerning land use in Western Australia. Land use is classified according to the Australian Land Use and Management (ALUM) Classification version 8, a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use. The operational scales of the mapping vary according to the intensity of land use activities and landscape context. Scales range from 1:5 000 and 1:25 000 for irrigated and peri-urban areas, to 1:100 000 for broadacre cropping regions and 1:250 000 for the semi-arid and arid pastoral zone. The scale of mapping generally reflects the intensity of land use. This update refreshes the entire state of Western Australia to ALUM v8.

The geographical extent of this catchment encompasses the Gwydir Catchment (specifically, Vegetation Monitoring data 2010 to 2024). The water-dependent vegetation dataset comprises observations obtained from the Gwydir catchment within New South Wales (NSW), Australia. This dataset is structured as a point-based inventory, providing detailed information on the condition of water-dependent vegetation communities. The dataset encompasses two main components: Vegetation Community Condition: This component focuses on assessing the condition of the vegetation community based on the species composition and structure of water-dependent vegetation communities. It includes information on species composition and cover. Tree Stand Condition: This component involves evaluating the condition of individual trees within water-dependent vegetation stands. It includes data on tree health, canopy structure, crown density, and tree size distribution. Each record in the water-dependent vegetation dataset provides spatially explicit information, detailing the geographic coordinates of the vegetation survey plots. Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.