Access API

NSW Imagery Web Service
Note: Export function is for the Mosaic Index only

Please Note
WGS 84 service aligned to GDA94
This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.

The NSW Imagery web map service provides spatial imagery covering the extent of NSW. It depicts current cached imagery map of NSW which includes the following data sets:

• LandSat 2014® satellite imagery
• Spatial Services standard coverage ADS sensor orthorectified imagery
• Spatial Services high resolution ADS sensor town imagery
• Spatial Services high resolution ADS sensor project imagery
• AAM 2012 Tweed orthorectified imagery
• AAM 2012 Sydney conurbation 10cm GSD orthorectified imagery
• Jacobs 2009 Upper Hunter AUSIMAGE® orthophoto imagery
• Jacobs 2004 Queanbeyan AUSIMAGE® orthophoto imagery
• Jacobs 2006 Yass AUSIMAGE® orthophoto imagery
• Jacobs 2002 Goulburn AUSIMAGE® orthophoto imagery
• Jacobs 2014 AUSIMAGE® orthophoto imagery
• Jacobs 2016 AUSIMAGE® orthophoto imagery
• Spookfish/Eagleview 2018 Imagery
• Six Cities Conurbation AAM Imagery 2020-2022
• Six Cities Conurbation Aerometrex Imagery 2021-2022

The NSW Imagery web service provides spatial imagery covering the extent of NSW progressively from scales larger than 1:150,000 higher resolution imagery overlays lower resolution imagery and most recent imagery overlays older imagery within each resolution.

This product has been produced to identify visible land cover features and terrain to support Spatial Services along with local and state government programs, including Emergency Services. This product is used on a whole of government basis as a visible record of the landscape at a given point in time.

This web service allows users to easily integrate the Imagery coverage for NSW into Open Geospatial Consortium (OGC) compliant spatial platforms and applications.

Imagery provides an analytical source and contextual background for decision making and supports multiple applications including:

• mapping
• emergency services
• sustainable human and land use development
• geosciences
• natural resource management

The NSW Imagery web service provides access to accurate, authoritative and timely aerial imagery of NSW.

This service ensures users are able to consume spatial imagery without the requirement of hosting the imagery files on their own servers. The Imagery cache is maintained by Spatial Services and is an output of Spatial Services’ imagery collection and maintenance program.

Land and Property Information (LPI’s) Cached map service is a rasterised topographic maps covering NSW. This service contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series. Where coverage exists at multiple scales the largest scale map is displayed. It compromises the “collars off” tiff images for the current (1:100000, 1:50000 and 1:25000) Topo maps, and replaces the old “Topographic maps (Current Series)” shown in the old six viewer. Land and Property Information (LPI’s) Cached map service is a rasterised topographic maps covering NSW. This service contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series. Where coverage exists at multiple scales the largest scale map is displayed. It compromises the “collars off” tiff images for the current (1:100000, 1:50000 and 1:25000) Topo maps, and replaces the old “Topographic maps (Current Series)” shown in the old six viewer.

Property boundaries represent the extent of ownership of an address in line with NSW Valuer General for the purposes of address verification and rating. The spatial layer is derived from land parcel boundaries (cadastre) originally supplied by NSW Spatial Services who remain the source of cadastral information. See SiX maps This spatial layer has been significantly changed and maintained by City of Sydney Spatial Services. This layer is not survey accurate. Geoservice API disabled, but geojson and download permitted.

Metadata Content Title NSW 2019 Spot 6-7 Web Map ServiceContent Type Web MapDescription NSW Spot Imagery 2019 is first of a series of Bi Annual (commencing second half of 2019) Satellite Image Mosaics covering NSW with an image resolution of 1.5 metres. This imagery is captured in between January and April 2019. The state mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG 2000 file with a word file.Initial Publication Date 11/06/2020Data Currency 12/09/2022Data Update Frequency Half-YearlyContent Source OtherFile Type Map Feature Service Attribution Data Theme, Classification or Relationship to other Datasets Accuracy Spatial Reference System (dataset) GDA94 Spatial Reference System (web service) EPSG:4326 WGS84 Equivalent To GDA94 Spatial Extent Content Lineage Data Classification UnclassifiedData Access Policy OpenData Quality Terms and Conditions Creative CommonStandard and Specification Data Custodian Spatial Services | NSW Department of Customer ServicePoint of Contact DCS Spatial Services Customer HubData Aggregator DCS Spatial ServicesData Distributor DCS Spatial ServicesAdditional Supporting Information The web service is built as per Spatial Services's project specification. WMS is OGC protocol compatible and suitable for consumption by common GIS platforms. This dataset is also compliant with the NSW Foundation Spatial Data Framework and its specifications.Dataset Producers and Contributors:Geospatial IntelligenceAirbus DS for SPOT 6/7© CNES (2020) DISTRIBUTION AIRBUS DSTRIM Number

Impervious surfaces were derived from two existing mapping products, producing six classes of impervious area: Buildings, Roads, Railways, Roads and Railways, Airports and Aerodromes, Stormwater Infrastructure.\r \r Impervious Surfaces associated with buildings were derived from the Geoscape® Buildings Theme, which provides polygon representations of every building in Australia with a roof area equal to or greater than 9m2. Building polygons from the Greater Sydney Region were extracted and used to create the ‘Buildings’ feature.\r \r Impervious Surfaces not associated with buildings were derived from the NSW Land Use Map 2017 (inclusive of the draft Land Use Mapping for the Sydney Metropolitan Region), which provides land use mapping for NSW at a 1:10,000 reliability scale, based on the Australian Land Use and Management Classification Code. This layer was used to generate the Roads, Railways, Roads and Railways (polygons reclassified during QC) Airports and Aerodromes, and Stormwater Infrastructure features.\r \r Once both sets of features had been generated, they were intersected with LGA to aid in computation and provide additional map utility. Following this, any overlap between the Buildings features and the Land Use features was corrected using the Erase Function, before the layers were combined using the union function, and dissolved by LGA and feature class to provide LGA-level breakdowns of the prevalence and providence of impervious areas.

Abstract

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Abstract: The Biodiversity Investment Opportunities Map (BIO Map) is a key deliverable of the NSW Government's $40 million Green Corridors program, a Government priority action identified in NSW 2021: A Plan to make NSW number one. The map was prepared with funding provided by the NSW Environmental Trust. The Illawarra BIO Map covers a 112,942-hectare area defined by the Kiama, Shellharbour and Wollongong Local Government Areas. This includes the Illawarra coastal plain and escarpment, and the eastern parts of the sandstone plateau to the west. Each of these landscapes provides a diversity of vegetation types, habitats and landforms, which combined make the region rich in overall biodiversity values. Mapping criteria were used to identify and map priority investment areas, and targeted stakeholder consultation was conducted to inform the outputs of the project. Stakeholders consulted included nine state government authorities, four local councils and six non-government organisations. The priority investment areas comprise of biodiversity core areas and a network of state and regional biodiversity corridors within the Illawarra region. The total area represented within the mapped priority investment areas is 66,827 hectares, comprising 13,980 hectares of core area and 52,847 hectares of corridors. This represents about 59 per cent of the Illawarra region. The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit. A landholder's right to carry out agricultural and developmental activities on their land are not altered by their property being identified as a priority investment area on the BIO Map. The BIO Map identifies areas where landowners have more opportunities to receive funding to protect their bushland. Any involvement by a landowner in such programs is entirely voluntary. Report Title: Biodiversity Investment Opportunities Map Mapping Priority Investment Areas for the Illawarra Region

Dataset History

This data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Lineage: Lineage: Core areas are areas of native vegetation and habitat where management will be of greatest benefit to the conservation of state and regional biodiversity values within a region. Combined with state and regional corridors, the areas are termed Priority Investment Areas (PIAs) PIAs were mapped from a combination of existing and established data and from new data layers created specifically for the project. To identify core areas, a seamless vegetation layer was made from 20 separate fine-scale vegetation maps. Vegetation types were then assigned to a single, state-wide classification (i.e. Plant Community Type) and to Threatened Ecological Communities listed in NSW. Core areas were defined as contiguous patches (separated by 30 metres or less) of Threatened Ecological Communities greater than 10 hectares in size. Threatened ecological communities were identified by mapping the associations of PCTs with the NSW Scientific Committee determinations of threatened communities. Land was removed from core areas in cases where it was deemed likely to be affected by development; this included land zoned for urban land uses or areas where land-use intensification or fragmentation was likely. As a general rule, land zoned residential (e.g. R1 to R4 under a standard LEP, or equivalent), industrial (e.g. IN1 to IN4) or business (e.g. B1 to B7) was removed from core areas. Zoning data were obtained from LEPs in force throughout the study area. After stakeholder consultation and feedback, these areas were then refined into fine-scale boundaries based on either property or vegetation boundaries. The boundaries identified focused on capturing entire patches of the vegetation type identified, not just the amount needed to meet the minimum representation target. Therefore, the areas of some vegetation types significantly exceeded their targets. Targeted stakeholder consultation informed and improved the outputs of the project. Nine state government authorities, four local councils and six non-government organisations were engaged to comment on the draft map. Suggestions from stakeholders were assessed against the mapping criteria and (where appropriate) were incorporated into the final BIO Map. Six core areas added to, or expanded, on the basis of stakeholder feedback and the incorporation of more accurate local information. The total area represented within the mapped PIAs is 66 827 hectares, comprising 13 980 hectares of core area and 52 847 hectares of corridors. This represents about 59% of the Illawarra region. Positional accuracy: Digitising was conducted at a scale of approximately 1:10,000-1:15,000. Attribute accuracy: All attributes have been checked. Completeness: The layer is complete. The layer will require periodic updating to account for any clearing or vegtetation change resulting from future landuse activites.

Dataset Citation

NSW Office of Environment and Heritage (2015) Illawarra Region BIO Map - Core Areas 20150430. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/523facf7-eacd-42b8-92b3-a01a842b9b75.

Digital soil maps (DSMs) are prepared through quantitative modelling techniques that are based on relationships between soil attributes and the environment. DSMs are presented over NSW for a range of key soil properties, including soil organic carbon (SOC), pH, cation exchange capacity, sum-of-bases, total phosphorous, electrical conductivity (EC), exchangeable sodium percent (ESP), clay, sand and silt. The maps are at 100 m spatial resolution and cover six soil depth intervals down to 2 m, consistent with standard international systems, plus 0-30 cm and 30-100 cm layers. The modelling techniques applied included multiple linear regression and Cubist decision tree approaches. Validation results for the maps indicate generally moderate performance and effectiveness. The maps provide at least a useful first approximation of these soil properties across the State. The products are described more fully in the technical report: OEH (2018), Digital soil mapping of key soil properties over NSW, version 1.2 (40p). The 0-30 and 30-100 cm raster layers, plus 0-5 cm rasters for textural properties (660 and 840 MB zip files) or jpeg images (63 MB zip file) can be downloaded through the NSW SEED data portal. They are also viewable through eSPADE (http://espade.environment.nsw.gov.au). The full suite of depth layers for all soil properties are available through the OEH data broker .

This is Version 1 of the Australian Soil Total Phosphorus product of the Soil and Landscape Grid of Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).

These maps are generated by combining the best available Digital Soil Mapping (DSM) products available across Australia.

Attribute Definition: Total phosphorus; Units: %; Period (temporal coverage; approximately): 1950-2013; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Data license : Creative Commons Attribution 4.0 (CC BY); Target data standard: GlobalSoilMap specifications; Format: GeoTIFF. Lineage: The National Soil Attribute Maps are generated by combining the best available digital soil mapping to calculate a variance weighted mean for each pixel. For this soil attribute the Australia-wide three-dimensional Digital Soil Property Maps are the only maps available. Thus the modelling for this soil attribute only used Decision trees with piecewise linear models with kriging of residuals developed from soil site data across Australia. (Viscarra Rossel et al., 2015a).

Abstract This raster dataset provides the latest summary information on Australia's present (extant) native vegetation, which has been classified into Major Vegetation Groups. It is in Albers Equal Area projection with a 100 m x 100 m (1 Ha) cell size. A comparable Pre-1750 (pre-European, pre-clearing) raster dataset is available. For this update, Version 6.0, the extant datasets for Queensland, Australian Capital Territory, South Australia and Western Australia have been updated. An automated, data-driven procedure, followed by thorough manual checks, was undertaken to make any necessary updates to MVG/MVS assignments for WA, VIC, NT, SA and NSW, with any changes being verified by the corresponding state/territory contacts. For Version 5.1 the extant dataset for Tasmania was updated, with gapfilling work being completed for the NSW extant dataset. Some of the rulesets underpinning the assignment of MVGs and MVSs were also updated to improve consistency for their allocation. Version 5.0 substantially standardised the lookup tables (NVIS5_0_LUT_DETAILxxxx and NVIS5_0_LUT_AUST_FLATxxxx). Previously, Version 4.2 updated NSW. For version 4.1 most agencies supplied data to the update. For more detail refer to the associate lookup tables. Summaries were derived from the best available data in the NVIS extant theme. This product is derived from a compilation of data collected at different scales on different dates by different organisations. Please refer to the separate Key Dataset map showing scales of the input datasets 'NVIS6_0_KEY_DSET_xxx'. Gaps in the NVIS database were filled by non-NVIS data, notably parts of South Australia and small areas of New South Wales such as the Curlewis area. The data represent on-ground dates of up to 2006 in Queensland, 2001 to 2005 in South Australia (depending on the region) and 2004/5 in other jurisdictions, except NSW. NVIS data was partially updated in NSW with 2001-09 data, with extensive areas of 1997 data remaining from the earlier version of NVIS. Major Vegetation Groups were identified to summarise the type and distribution of Australia's native vegetation. The classification contains different mixes of plant species within the canopy, shrub or ground layers, but are structurally similar and are often dominated by a single genus. In a mapping sense, the groups reflect the dominant vegetation occurring in a map unit where there are a mix of several vegetation types. Subdominant vegetation groups which may also be present in the map unit are not shown. For example, the dominant vegetation in an area may be mapped as dominated by eucalypt open forest, although it contains pockets of rainforest, shrubland and grassland vegetation as subdominants. A number of other non-vegetation and non-native vegetation land cover types are also represented as Major Vegetation Groups. These are provided for cartographic purposes, but should not be used for analyses. The (related) Major Vegetation Subgroups represent the dominant vegetation groups in the dominant stratum, along with the dominant shrub or ground layer,and are available as separate raster datasets. For further background and other NVIS products, please see the links at: http://www.environment.gov.au/land/native-vegetation/national-vegetation-information-system. Currency Date modified: 10 December 2020 Modification frequency: None Data extent Spatial extent North: -8.139869° South: -44.318646° East: 157.215737° West: 109.504356° Temporal extent From 28 January 2016 to 10 December 2020 Source information This dataset is provided by the Department of Climate Change, Energy, the Environment and Water

Map Server Metadata Public listing

Lineage statement NVIS Version 6.0 Spatial datasets were updated for Western Australia, South Australia, Queensland and Australian Capital Territory. Non-spatial updates have been made to all these states except WA, due to problems encountered with non-aligning mosaicked Map Units between the NVIS database and the non-spatial data supplied on the WA government portal. Hence, the original non-spatial data has been used in conjunction with the new spatial data for this state. For Queensland, updates were made predominantly to the MVG/MVS allocation as supplied directly by the state, with the existing Level 6 to Level 1 heirarchy mostly remaining unchanged from the existing database. However, a total of 567 L6 to L1 descriptions were updated in accordance with the Regional Ecosystem technical descriptions on the Qld Government portal. For the remaining states and territories the Version 5.1 spatial and non-spatial data was reused. The VICTA tool (an automated, data-driven procedure with embedded rulesets) was run to make any necessary updates to MVG/MVS assignments for WA, VIC, NT, SA and NSW, followed by necessary manual QA checks. This resulted in some changes to L6 and L5 descriptions. Any changes made to the existing L5/L6 descriptions were verified by the corresponding state/territory contacts. Detailed lineage information is available via the Metadata listing. Data dictionary This dataset comprises defined areas with vegetation types only. All layers

Attribute name Vegetation Types

Major Vegetation Group Acacia Forests and Woodlands Acacia Open Woodlands Acacia Shrublands Callitris Forests and Woodlands Casuarina Forests and Woodlands Chenopod Shrublands, Samphire Shrublands and Forblands Cleared, non-native vegetation, buildings Eucalypt Low Open Forests Eucalypt Open Forests Eucalypt Open Woodlands Eucalypt Tall Open Forests Eucalypt Woodlands Heathlands Hummock Grasslands Inland aquatic - freshwater, salt lakes, lagoons Low Closed Forests and Tall Closed Shrublands Mallee Open Woodlands and Sparse Mallee Shrublands Mallee Woodlands and Shrublands Mangroves Melaleuca Forests and Woodlands Naturally bare - sand, rock, claypan, mudflat Other Forests and Woodlands Other Grasslands, Herblands, Sedgelands and Rushlands Other Open Woodlands Other Shrublands Rainforests and Vine Thickets Regrowth, modified native vegetation Sea and estuaries Tropical Eucalypt Woodlands/Grasslands Tussock Grasslands Unclassified Forest Unclassified native vegetation Unknown/no data

Contact Department of Climate Change, Energy, the Environment and Water, GeoSpatial@dcceew.gov.au

Survey and mapping was commissioned by NPWS Western Branch Macquarie Area, Bathurst office. Six floristic quadrats were sampled to further describe the vegetation communities. Walked transects and topographic maps were used to delineate vegetation boundaries. The author correlated map units to vegetation communities described in the original Winburndale NR vegetation report (ERM Mitchell McCotter 1996) and allocated them to NSW Vegetation Classes and Formations (Keith 2004) for fire management purposes. Hardcopy maps were digitsed in the Dubbo NPWS Western Branch office. Subsequent to the final report, NPWS staff have corrected correlation errors and re-assigned some map units to the NSW classification (Keith 2004). Mt Horrible (addition to Winburndale NR) mapping supplements existing mapping for Winburndale NR [Vegetation descriptions in: ERM Mitchell McCotter Pty. Ltd. (1996) Bathurst vegetation survey for NSW National Parks and Wildlife Service: Bathurst District covering Winburndale NR, Nangar NP, Conimbla NP and Weddin Mountains NP. NSW National Parks and Wildlife Service, Bathurst. Mapping undertaken by Roger Lembit under contract to NPWS Bathurst District office in 1997 due to inadequacies in ERM mapping.]

The vegetation of Copperhania, Barton, Dapper & Boginderra Hills NRs, located in central-western NSW, is described and mapped at a scale of 1:50 000 based on field survey quadrats, aerial photo interpretation and multivariate analysis. 25 communities in total are described for the four reserves, eight in Copperhania NR, six in each of Barton and Dapper NRs and five in Boginderra Hills. VIS_ID 872) The vegetation of Copperhania, Barton, Dapper & Boginderra Hills NRs, located in central-western NSW, is described and mapped at a scale of 1:50 000 based on field survey quadrats, aerial photo interpretation and multivariate analysis. 25 communities in total are described for the four reserves, eight in Copperhania NR, six in each of Barton and Dapper NRs and five in Boginderra Hills. VIS_ID 872)

This is Version 1 of the Australian Soil Bulk Density - Whole Earth product of the Soil and Landscape Grid of Australia.

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).

These maps are generated by combining the best available Digital Soil Mapping (DSM) products available across Australia.

Attribute Definition: Bulk Density of the whole soil (including coarse fragments) in mass per unit volume by a method equivalent to the core method; Units: g/cm3; Period (temporal coverage; approximately): 1950-2013; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Data license : Creative Commons Attribution 4.0 (CC BY); Variance explained (cross-validation): 0.4%; Target data standard: GlobalSoilMap specifications; Format: GeoTIFF. Lineage: The National Soil Attribute Maps are generated by combining the best available digital soil mapping to calculate a variance weighted mean for each pixel. Two DSM methods have been utilised across and in various parts of Australia, these being;

1) Decision trees with piecewise linear models with kriging of residuals developed from soil site data across Australia. (Viscarra Rossel et al., 2015a); 2) Disaggregation of existing polygon soil mapping using DSMART (Odgers et al. 2015a).

Version 1 of the Australian Soil Property Maps combines mapping from the:

1) Australia-wide three-dimensional Digital Soil Property Maps; 2) Western Australia Polygon Disaggregation Maps; 3) South Australian Agricultural Areas Polygon Disaggregation Maps; 4) Tasmanian State-wide DSM Maps.

These individual mapping products are also available in the Data Access Portal. Please refer to these individual products for more detail on the DSM methods used.

This is Version1 of the Australian Soil Organic Carbon product of the Soil and Landscape Grid of Australia at 30m resolution.

The map gives a modelled estimate of the spatial distribution of total organic carbon in soils across Australia.

It supersedes the Release 1 product that can be found at https://doi.org/10.4225/08/547523BB0801A

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf). The digital soil attribute maps are in raster format at a resolution of 1 arc sec (~90 x 90 m pixels).

Detailed information about the Soil and Landscape Grid of Australia can be found at - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html

Attribute Definition: Mass fraction of carbon by weight in the < 2 mm soil material as determined by dry combustion at 900 Celcius Units: %; Period (temporal coverage; approximately): 1970-2021; Spatial resolution: 1 arc seconds (approx 30m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Data license : Creative Commons Attribution 4.0 (CC BY); Target data standard: GlobalSoilMap specifications; Format: Cloud Optimised GeoTIFF; Lineage: Data on total organic carbon (TOC) concentration (%) was extracted with the Soil Data Federator (https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederatorHelp.html) managed by CSIRO. The Soil Data Federator is a web API that compiles soil data from different institutions and government agencies throughout Australia. The laboratory methods for total organic carbon included in the study are 6A1, 6A1_UC, 6B2, 6B2b, 6B3, 6B3a. We selected TOC data from the period 1970-2020 to get a compromise between representativity of current TOC concentration and spatial coverage. The data was cleaned and processed to harmonize units, exclude duplicates and potentially wrong data entries (e.g. missing upper or lower horizon depths, extreme TOC values, unknown sampling date). Additional TOC measurements from the Biome of Australian Soil Environments (BASE) contextual data (Bisset et al., 2016) were also included in the analyses. TOC concentration for BASE samples was determined by the Walkley-Black method (method 6A1). Upper limits for TOC concentration by biome and land cover classes were set according to published literature, consistent datasets (Australian national Soil Carbon Research Program (SCaRP) and BASE, and data exploration to exclude unrealistic TOC values (e.g. maximum TOC = 30% in temperate forests, maximum TOC = 14% in temperate rainfed pasture). Since TOC concentration in Australian ecosystems has been underestimated by previous SOC maps, we did not set conservative TOC upper limits, knowing that machine learning model would likely underestimate high SOC values.

The equal-area quadratic spline function were fitted to the whole collection of pre-processed TOC data, and then values extracted for the 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, and 100-200 cm depth intervals, following GlobalSoilMap specifications (Arrouays et al., 2014}.

Covariates: We collected a set of 57 spatially exhaustive environmental covariates covering Australia and representing proxies for factors influencing SOC formation and spatial distribution: soil properties, climate, organisms/vegetation, relief and parent material/age. The covariates were reprojected to WGS84 (EPSG:4326) projection and cropped to the same spatial extent. All covariates were resampled using billinear interpolation or aggregated to conform with a spatial resolution with grid cell of 30 m x 30 m.

Mapping: The spatial distribution of soil TOC concentration is driven by the combined influence of climate, vegetation, relief and parent materials. We thus modelled TOC concentration as a function of environmental covariates representing biotic and abiotic control of TOC. The measurement of SOC and their corresponding value of environmental covariate at same measurement locations were used to fit the mapping model.

Mapping is made with Quantile regression forest, which is similar to the popular random forest algorithm for mapping. Instead of obtaining a single statistic, that is the mean prediction from the decision trees in the random forest, we report all the target values of the leaf node of the decision trees. With QRF, the prediction is thus not a single value but a cumulative distribution of the TOC prediction at each location, which can be used to compute empirical quantile estimates.

All processing for the generation of these products was undertaken using the R programming language. R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Code - https://github.com/AusSoilsDSM/SLGA Observation data - https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html Covariate rasters - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/GetData-COGSDataStore.html

This dataset provides Local Area Guides for 13 Metro Stations along the Sydney's Metro North West Line.

Each guide displays a local area map with an approximate 600m radius around the Metro station capturing bus stands, facilities, tickets and destinations.

Note:

• 12 new WCAG 2.0 compliant wayfinding maps have been added for the Chatswood to Sydenham extension, including 6 new station & local area maps and 6 existing station & local area maps in July 2024.

• The M1 route, Metro North West & Bankstown Line will commence operations Sunday 4 August 2024.

For an interactive guide to each of these Metro stations visit https://transportnsw.info/travel-info/ways-to-get-around/metro#/.

Native vegetation, including forest, woodland and grass/forbland assemblages, is described and mapped for the Bogan Gate, Boona Mount, Condobolin, Dandaloo, Tottenham and Tullamore 1:100 000 map sheets, located in the central western region of New South Wales. This area encompasses parts of six Local Government Areas: Bogan, Forbes, Lachlan, Narromine, Parkes and Warren. Spatial delineation of map units was accomplished using stereoscopic air photo interpretation, assisted by satellite imagery. Preliminary coding was applied based on vegetation patterns and then revised subsequent to data manipulation and analyses. Comprehensive plot-based floristic data were collected for 850 plots using a random stratified sampling procedure. An environmental stratification based on soil landscapes, temperature and rainfall guided sampling location and intensity. Additional mask layers were applied to distinguish between 'woody' and 'non woody' vegetation and each layer independently sampled. Plot data were classified into 41 woody and 20 non-woody floristic groups using pattern analysis within PATN. Additional analysis techniques included ordination; fidelity, homogeneity, nearest neighbour and indicator species analysis. Multi-Response Permutation Procedures were used to evaluate the degree to which classificatory groups were recognised at a similar level of within group similarity. Floristic groups are defined using structural dominance, diagnostic/indicator species and character species data. AiPI units were interrogated with respect to floristic groups to produce the map units. A total of 21 woody map units were developed to represent woody assemblages. Six broad map units based on landform and land use patterns represent non-woody assemblages. Map units are described with respect to structure, floristic composition and landform unit.

VIS_ID 1595

Access API

Please Note
WGS 84 service aligned to GDA94
This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments.
In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionally.

The spatial data maps koala populations and habitat for six study areas in the Clarence Valley LGA of New South Wales. The six study areas defined by Council are Coutts Crossing, Shannon Dam, South Grafton, Waterview Heights, Lawrence and Ashby. All are irregular in shape and geographically separate. In terms of approximate area (ha) within each study area, Coutts Crossing is 3619ha , Shannon Dam is 2868ha, South Grafton is 4282ha, Waterview Heights is 9725ha, Lawrence is 7338ha and Ashby is 4230ha. The data maps both ‘Likely koala habitat’ and Occupied koala habitat’ on all lands except NPWS Estate and Forestry Corporation of NSW estate. ‘Likely koala habitat’ occurs where there is greater than 15% dominance of preferred koala food trees. ‘Occupied koala habitat’ is a spatial subset of ‘Likely koala habitat’ where koala populations are currently viable based upon known presence and their generational persistence over time. The maps were produced under the NSW Government's Koala Strategy in collaboration with Clarence Valley Council.

Six vegetation communities were mapped following field survey and full floristic sampling. Colour aerial photographs at 1:50 000 scale formed the basis of the vegetation map polygons. The images were interpreted stereoscopically for patterns of vegetation and geomorphology, and matched to the vegetation site data. A provisional vegetation map was drafted on acetate overlays and the linework and boundaries checked during ground-truthing. The study area was traversed and particular sites investigated to confirm polygon labels and resolve vegetation boundaries. The final vegetation polygons were then transferred and corrected to the 1:50 000 topographic map sheet and coded. Linework was transferred to hardcopy topographic mapsheets and digitised using a digitising tablet and ArcView 3.3. A code denoting the vegetation community was then attributed to each polygon based on the hardcopy linework. Dataset was reprojected by DECCW from AGD66 Zone 55 to GDA94 using ArcMAP 9.3. VIS_ID 4012

Vegetation Survey of Kirramingly Nature Reserve and surrounding areas. 22 site based surveys recorded the distribution and abundance of 140 species of vascular plants, resulting in the mapping of six vegetation communities. Maps of vegetation communities were prepared using 1:10,000 aerial photographs. VIS_ID 3973