AndreaBozzo/ceres-open-data-index huggingface dataset:
Vegetation map, Peak Hill, API. VIS_ID 4164

Vegetation mapping for part of the Peak Hill 1:100,000 mapsheet. Vegetation polygons attributed with dominant overstorey species and various land features through aerial photograph interpretation of contact prints at a scale of either 1:25,000 or 1:50,000 (1995). Polygons were attributed using the API pathway described in Central West and Lachlan CMA Vegetation Mapping reports (DEC 2006a and DEC 2006b). Extensive ground truthing was undertaken to attribute the polygons with species information. VIS_ID 4164

Tags: PCT, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Shellharbour Road Segment 3D May 2024

Access APIMetadata Portal Metadata InformationContent Title&nbsp;Shellharbour Road Segment 3D May 2024Content TypeScene Layer/Scene Layer PackageDescriptionNSW Transport Theme Road Segment is a line feature class representing a section of road having common attributes and terminating at its physical and or at an intersection with another road at the same grade (same level). Its position is determined by the methodology used to input into the Topographic Database. Common methods of input include GPS, traced from the cadastre or traced from an orthorectified image.Data included in Road Segments includes:Vehicular TrackPathwayContinuity LineStandard Road&nbsp;On-off RampDual CarriagewayInitial Publication Date01/05/2024Data Currency01/05/2024Data Update FrequencyOtherContent SourceData provider filesFile TypeScene Layer Package (*.slpk)AttributionData Theme, Classification or Relationship to other DatasetsTransport Theme of the NSW Foundation Spatial Data FrameworkAccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. The Lot and Property data was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at the map scale for 90% of the well-defined points. That is 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:00000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Feature heights have been derived from LiDAR elevation sources including 1m and 2m DEMS. The data used to create the DEMs have an accuracy of 0.3m (95% Confidence Interval) vertical and 0.8m (95% Confidence Interval) horizontal. The features vertical accuracy is also a function of its horizon.Spatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA2020Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianSpatial Services | Department of Customer ServicesPoint of ContactSS-SDS@customerservice.nsw.gov.auData AggregatorSpatial Services | Department of Customer ServicesData DistributorSpatial Services | Department of Customer ServicesAdditional Supporting InformationOpen Geospatial Consortium (OGC) implemented and compatible for the consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement.TRIM Number

Tags: 3D, Road Segment, Shellharbour, Transport
Organization: Spatial Services (DCS)
Brimbin National Park Vegetation 2002. VIS_ID 1172

Vegetation community mapping for Brimbin Nature Reserve and surrounds by Paul McDonald, 2002. This area covered the existing Brimbin NR and additional Freehold areas adjoining the NR, some of which are under consideration for purchase. Traditional API methodology was used to complete this job across five reserves for the Manning Area, Mid North Coast NPWS Region:;
1.Brimbin Nature Reserve and adjoining freehold lands.;
2.Coxcomb NR and Anderson VCA.;
3.Khatambuhl NR;
4.Two sections of Killabakh NR ;
5.Freehold purchase area on northwest corner of Goonook NR, around Mount Goonook.;
The project consisted of fieldwork where possible and then interpretation of the photos to define the species types present. Some follow up fieldwork was undertaken.;
Rather than assign a species type label to each polygon on the area, the polygon was given a number from 1 to n, for each area. A table for the area has a description of each polygon. VIS_ID 1172.

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Soil Landscapes of the Curlewis 1:100,000 Sheet

This map is one of a series of soil landscape maps that are intended for all of central and eastern NSW, based on standard 1:100,000 and 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to the Great Soil Group and Northcote classification systems.
Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment.
Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.
Reference:  Banks, R.G., 1994. Soil Landscapes of the Curlewis 1:100,000 Sheet map, edition 1, NSW Department of Conservation and Land Management, Sydney.
Banks, R.G., 1995. Soil Landscapes of the Braidwood 1:100,000 Sheet report, edition 1, NSW Department of Conservation and Land Management, Sydney.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Soil Landscapes of the Cobargo 1:100,000 Sheet

This map is one of a series of soil landscape maps that are intended for all of central and eastern NSW, based on standard 1:100,000 and 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the Cobargo area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to the Australian Soil Classification and the Great Soil Group systems.
Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.
Reference: Tulau MJ, 2022. Soil Landscapes of the Cobargo 1:100,000 Sheet, Department of Climate Change, Energy, the Environment and Water, Sydney.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Experimental Environmental-Economic Accounts for NSW - Soil Accounts - 2021

This dataset is part of a large initiative being carried by the Natural Capital Markets and Accounts (NCMA) branch to produce environmental-economic accounts under the UN-endorsed System of Environmental-Economic Accounting. SEEA accounts produced by NCMA, and other economic valuation frameworks, are hosted in the Natural Capital Evidence Bank (NCEB) repository.
This data cube presents accounts for soils and land-use in New South Wales. These accounts form part of the NCMA Soils theme, which currently includes a Soil Extent physical account, a Soil Condition physical account, and a Land-use physical account. The purpose of developing these accounts is to better understand the degree to which different NSW Great Soil Groups are being used for activities which are compatible or incompatible with their physical capabilities.
The accounts have complete coverage for NSW. The sources for these accounts are: 
Great Soil Group (GSG) Soil Type map of NSW, 2021, DPIE, https://datasets.seed.nsw.gov.au/dataset/great-soil-group-gsg-soil-type-map-of-nsw 
NSW Landuse v1.2, 2017, DPIE, https://datasets.seed.nsw.gov.au/dataset/nsw-landuse-2017-v1p2-f0ed 
Land and Soil Capability Mapping for NSW, 2020, DPIE, https://datasets.seed.nsw.gov.au/dataset/land-and-soil-capability-mapping-for-nsw4bc12 

Tags: Economics, Environmental-Economic Accounting, HUMAN-ENVIRONMENT-Economics, LAND, Natural Capital, SEEA, SOIL
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Canada Bay Railway 3D May 2024

Access APIMetadata Portal Metadata InformationContent TitleCanada Bay Railway 3D May 2024Content TypeScene Layer/Scene Layer PackageDescriptionNSW Transport Theme Railway represents a permanent way of having one or more rail lines which provide tracks for vehicles. A railway can be heavy rails, light rail, monorail and heavy rail siding, for example a railway, tramway or monorail.Initial Publication Date01/05/2024Data Currency01/05/2024Data Update FrequencyOtherContent SourceData provider filesFile TypeScene Layer Package (*.slpk)AttributionData Theme, Classification or Relationship to other DatasetsTransport Theme of the NSW Foundation Spatial Data FrameworkAccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. The Lot and Property data was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at the map scale for 90% of the well-defined points. That is 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:00000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Feature heights have been derived from LiDAR elevation sources including 1m and 2m DEMS. The data used to create the DEMs have an accuracy of 0.3m (95% Confidence Interval) vertical and 0.8m (95% Confidence Interval) horizontal. The features vertical accuracy is also a function of its horizon.Spatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA2020Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianSpatial Services | Department of Customer ServicesPoint of ContactSS-SDS@customerservice.nsw.gov.auData AggregatorSpatial Services | Department of Customer ServicesData DistributorSpatial Services | Department of Customer ServicesAdditional Supporting InformationOpen Geospatial Consortium (OGC) implemented and compatible for the consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement.TRIM Number

Tags: 3D, Canada Bay, Railway, Transport
Organization: Spatial Services (DCS)
Native Vegetation (Single Attribute) - One Tree 7829 VIS_ID 2219

"Native vegetation mapping of Dry Lake, Gunbar, Hay, Moggumbil, One Tree and Oxley 1: 100 000 map sheets.
Native vegetation, including forest, woodland and grass/forbland assemblages, is described and mapped. Spatial delineation of map units is accomplished using stereoscopic air photo interpretation assisted by satellite imagery. Floristic composition of map units is based on analysed, plot-based floristic data collected at 748 plots (20 by 20 metres) using a random stratified sampling procedure."
VIS_ID 2219
ANZLIC: ANZNS0359100130

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
TC Alfred Affected Areas

Export DataAccess APIMetadata Portal Metadata InformationContent TitleTC Alfred Affected AreasContent TypeHosted Feature LayerDescriptionAreas affected by TC Alfred EventInitial Publication Date13/03/2025Data Currency19/03/3035Data Update FrequencyOtherContent SourceData provider filesFile TypeWeb Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianEICUPoint of ContactEICUData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: TC Alfred
Organization: Spatial Services (DCS)
Historical Fire Extent and Severity Mapping (FESM) - Myall Lakes

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing &amp; Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on satellite imagery. 
The method uses standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). 
Here we provide historical severity mapping for the Myall Lakes region from 1989/90 to 2015/16, which is based on Landsat satellite imagery. From 2016/17 to the current fire year, this region is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery.

Tags: Fire Severity, Hazard Reduction Burns, Landsat, Myall Lakes, Remote Sensing, Wildfires
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Biodiversity Conservation Lands for the Mid North Coast Regional Strategy

The Biodiversity Conservation Lands dataset has been compiled for the Mid North Coast and interpreted as presenting planning constraints at three scales; 

State: Areas identified as of state significance in recognition of a related state or federal conservation policy or program;
Regional : Areas identified as of regional significance generally in recognition of a related state policy or program or as providing buffers to state significant lands;
Local : Areas  recognised through local conservation zoning and including all remnant vegetation.

Principles for deriving conservation constraints:

A twenty five-year planning horizon was adopted for identifying Biodiversity Conservation Lands and opportunities.
State, regional and local significance classes for conservation constraints were adopted and spatially delineated.
Biodiversity features are presented as constraints with limited or no transferability. Irreplaceability of significant features is generally low and in situ conservation is generally required. The level of irreplaceability for each feature is noted in the metadata proformas.
Biodiversity Conservation Lands will generally be identified across the landscape regardless of current tenure or zoning. Whilst back-zoning of existing development zones is not envisaged, protection of high conservation value features occurring in existing development zones will be encouraged.

The Biodiversity Conservation Lands is complete for all Local Government Areas along the coast from Tweed Heads to Gosford.  This metadata statement deals with that portion of the data covering the Local Government Areas of Clarence Valley, Coffs Harbour, Bellingen, Nambucca, Kempsey, Hastings, Greater Taree and Great Lakes.
There are two BioConLands datasets for each Regional Strategy area - a simplified one containing only State, Regional and Local categories in the attribute table and a larger, more complex version with "detailed" information on the components that went into the datasets. 
Note:  Certain boundaries within these datasets, eg. NPWS and State Forest Estate, are only current to 2007.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fire Heterogeneity Index (FHI) - Kosciuszko Region

Remote sensing scientists from the NSW Department of Climate Change, Energy, the Environment and Water (NSW DCCEEW) Science and Insights Division have developed a new approach to mapping the landscape patterns of high severity fire, based on NSW Fire Extent and Severity Mapping (FESM). 
High severity fire impacts an ecosystem by completely scorching or consuming the canopy biomass. Such impacts can be harmful to biodiversity, although some species benefit or even depend on this level of fire impact. 
Recent advances in remote sensing of fire and innovative computation solutions by DCCEEW Remote Sensing Scientists offer accessibility to data on fire severity and landscape patterns of fire heterogeneity across broad regions.

Tags: Biodiversity Assessment, Canopy, Environment, Fire, Fire Severity, Land Management and Biodiversity Conservation, Refugia, Rehabilitation, Wildfires
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Forest Ecosystems, South Coast Sub-region VIS_ID 3786

This is the original extant Forest Ecosystem map for the South Coast sub-region, comprising a number of different models and API data. Expert botanists developed the map within extant vegetation, by assigning API polygons to vegetation groups, determined by an ecological classification process using PATN software. The processes used were approved and signed off by a review team of expert botanists including two independents, one NPWS representative and one SFNSW representative. On cleared land, a combination of soils, GAMs modelling, and classified site data was used to assign vegetation groups to distinct topographic and soil patterns. The extant map was derived from masking the pre-1750 map to the extant vegetation. 101 distinct ecosystems have been mapped in the extant map for this sub-region.;
;
VIS_ID 3786;
;
ANZLIC: ANZNS0208000141
Note that this map was superseded by VIS_IDs 3858 &amp; 3859

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Soil Landscapes of the Macksville-Nambucca 1:100,000 Sheets

This map is one of a series of soil landscape maps that are intended for all of central and eastern NSW, based on standard 1:100,000 and 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to the Australian Soil Classification and the Great Soil Group systems.
Related Datasets: The dataset area is also covered by the mapping of Acid Sulphate Soil Risk Mapping.
Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.
Reference: Eddie M.W., 1999,  Soil Landscapes of the Macksville-Nambucca 1:100,000 Sheets map and report, NSW Department of Land and Water Conservation, Sydney.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling Regions

Export DataThis layer represents Regions for stochastic climate and water modelling for NSW Regional Water Strategies. These Regions contain different type of modelling data such as Climate Data, Water Models and Modelled Data.Previous SEED service moved from 10.7 to 11. 1 Portal. Waiting for Metadata from DPIE.Metadata&nbsp;Portal Metadata InformationContent TitleWater Modelling RegionsContent TypeHosted Feature LayerDescriptionWater Modelling Regions in NSW.Initial Publication Date28/08/2024Data Currency28/08/2024Data Update Frequency&nbsp;APIContent Source&nbsp;APIFile TypeWeb Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change, Energy, Environment and WaterPoint of ContactNSW Department of Climate Change, Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Water
Organization: Spatial Services (DCS)
NSW soil profiles

Statewide dataset of soil profiles, comprising (at time of writing) ~73,000 separate observations of soil physical and chemical characteristics, along with (in most cases) information about the landscape in which they occur (including landform, geology, vegetation, hydrology, land use and land degradation). Data is added by both NSW Government agencies and members of the wider NSW community using standardised Soil Data Cards, an internet application called eDIRT and is stored in the NSW Soil and Land Information System (SALIS).
Online Maps: Part of this area is also covered by other soil mapping products, see the soil map index in eSPADE. eSPADE contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.
Reference: NSW Soil and Land Information System (SALIS) database, NSW Office of Environment and Heritage, MSQL 2012, accessed {insert date of access}.

Tags: Acid Sulfate Soils, Geology, Land Degradation, Land Use, Soil, Soil Acidity, Soil Carbon, Soil Classification, Soil Erosion, Soil Fertility, Soil Health, Soil Information, Soil Landscapes, Soil Salinity, Soil Tests, Soil Type, Soil pH, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Find yourself in primary industries

Access APIMetadata Portal Metadata InformationContent TitleFind yourself in primary industriesContent TypeOtherDescriptionIs a job in primary industries right for you? Learn more through the NSW Department of Primary Industries Schools ProgramInitial Publication Date24/06/2024Data Currency24/06/2024Data Update FrequencyOtherContent SourceOtherFile TypeDocumentAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianDuo HePoint of Contactduo.he@customerservice.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Commerce, Population and Society, Revenue and Economy
Organization: Spatial Services (DCS)