AndreaBozzo/ceres-open-data-index huggingface dataset:
Water Modelling-Modelled Data-Annual Permitted Take (APT)-Gwydir

Annual permitted take (APT) is a critical component of sustainable resource management, balancing the need for water resource utilisation with the preservation of ecosystems. It is a crucial mechanism for ensuring the long-term annual sustainable diversion limits (SDLs) set under the Murray-Darling Basin Plan are not exceeded, and that enough water is available for the environment. APT is the maximum amount of water permitted to be taken for consumptive purposes each year, and has been enforced since July 2019

A method for determining APT is part of each water resource plans (WRPs) developed by the Basin states under the Commonwealth Water Act 2007. When the method is applied over the Basin Plan reference period (1895–2009), the annual APT must be equal to or less than SDL.

An APT model is a major component of the APT calculation method. It is used to calculate the APT that would be expected in a year, given that year’s water availability and climatic conditions. APT is calculated at the end of each year and compared to actual take in that year, with the difference added to a public register of take. SDL compliance is tracked using the cumulative difference (from water year 2019–20).

APT models are configured using estimates of the river management and development (public and private infrastructure) conditions in a river system across the water resource plan period. These estimates include:

• irrigated crop area and planting decisions

• water entitlement holders’ distribution and use patterns

• how storages are operated to supply water for consumption and the environment.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Southeast NSW Native Vegetation Classification and Mapping - SCIVI. VIS_ID 2230

Classification and descriptions of native vegetation types of southeast NSW (including the South Coast and parts of the eastern tablelands), and map of extant distribution of these veg types at 1:100 000 interpretation scale. Based on the South Coast - Illawarra Vegetation Integration (SCIVI) Project, which aimed to integrate many previous vegetation classification and mapping works to produce a single regional classification and map plus information on regional conservation status of vegetation types, to inform the South Coast and Illawarra Regional Strategies. Vegetation classification based on a compilation of ~ 8,500 full-floristic field survey sites from previous studies. Classified vegetation types refered to previous studies. Distribution of veg types was mapped by spatial interpolation (modelling) from classified sites, using a hybrid decision-tree/expert system. Final model was cut to \'extant\' boundaries using a compiled coverage of aerial photograph interpretation (API) of woody and wetland vegetation boundaries. A total of 189 vegetation types were identified, and types related to Endangered Ecological Communities are highlighted.;
VIS_ID 2230

Tags: TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Strategic Regional Land Use Policy (SRLUP) - Strategic Agricultural Land - Viticulture

A polygon dataset showing critical industry Viticulture clusters in the Upper Hunter region. The viticulture cluster includes a highly integrated concentration of vineyards and associated wineries and tourism infrastructure in a rural landscape. The region’s unique terrain and climate, its heritage vines and diversity of soil types all contribute to the specific quality and characteristics of grapes produced in the area, especially Hunter semillon and shiraz. Also of importance is the Hunter Valley wine tourism branding based on its natural environment and visual landscape attributes and its proximity to metropolitan areas. The mapped viticulture cluster includes the Pokolbin and Broke-Fordwich Geographic Indication (GI) sub-regions6 industry proposed GI subregions covering the Parish of Belford and localities of Lovedale and Mount View and part of the Upper Hunter Wine GI around Denman.

Tags: Agriculture, Boundaries, Land
Organization: NSW Department of Planning, Housing and Infrastructure
2022 Heat Vulnerability Index for the Greater Sydney Region

The 2022 Heat Vulnerability Index (HVI) for Greater Sydney aims to combine information on urban heat, built form and population demographics to provide a fine-grained understanding of the spatial distribution of heat vulnerable populations.

The Index combines indicators of heat exposure, sensitivity to heat, and adaptive capacity to produce the composite vulnerability index. The 2022 HVI dataset is built upon the methodology established in the creation of the 2016 Sydney HVI dataset (Sun et al 2018), integrating land cover, urban heat, and demographic data, aggregated to Statistical Area Level 1 (SA1) of the Australian Statistical Geography Standard (ASGS) produced by the Australian Bureau of Statistics (ABS).

Broad comparisons can be made between the 2022 and 2016 HVI datasets, however there are multiple factors that may limit direct comparability over time. This includes variations in underlying datasets, the relative nature of the HVI, and the change in size of the study area between 2016 and 2022. When undertaking comparison it is recommended to examine the changes in the underlying datasets and the absolute values of the heat exposure, sensitivity and adaptive capacity indicators. This approach helps to explain the variations in HVI and informs effective heat mitigation strategies.

The 2022 HVI is most useful at the SA1 scale. It is not recommended to aggregate the HVI dataset to larger scales (i.e. average HVI for a suburb or LGA). Aggregating spatially specific and individual data to geographic areas smooths out local variation, losing locational specificity and population variation. In cases where individual human exposure is of concern, this may either increase or decrease the representation of the actual exposure of a given individual, causing the neighbourhood effect averaging problem (NEAP) (Kwan 2018).

Please refer to the methodology report for more information. Please note that the methodology report was updated in October 2025, adjusting the adaptive capacity SEIFA IER parameter label. 

Tags: adaptation, canopy cover, climate change, heat, heat vulnerability, liveability, mitigation, population, risk, urban heat, urban heat island, vegetation, vulnerability
Organization: NSW Department of Planning, Housing and Infrastructure
Water Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Hunter

Long-term average annual extraction limit (LTAAEL) is a regulatory limit set on annual water extractions from a river system. It ensures that average extractions over the long term are sustainable, and thus help prevent environmental degradation.

In NSW these limits are defined by water sharing plans (WSPs). Every WSP outlines how the water in a river system will be shared over a 10-year period. They also define:

• how LTAAEL compliance is to be assessed for each river system

• what conditions will trigger noncompliance action

• what compliance action can be taken.

The Natural Resources Commission regularly reviews all WSPs to ensure extractions from each river system are within the limits set, and the Murray-Darling Basin Authority reviews sustainable diversion limit (SDL) compliance each year.

To assess compliance, we model LTAAEL using a model that has been configured to represent the development and management rules defined by a system WSP (this refers to as LTAAEL model). We then compare this modelled LTAAEL with the modelled under current conditions long-term average annual extractions (LTAAEs) (which are usually those modelled by the annual permitted take, or APT, model). Although, the LTAAEL includes multiple types of water use, the compliance assessment is based on the total. We do this annually using the best available models, and the outcomes are published on the DPE website.

Where river system’s LTAAE exceed LTAAEL, the system is considered noncompliant. If the noncompliance trigger conditions in the WSP are met, noncompliance action is taken.

The data set provided contains flows at several gauges in each river system, as simulated by the annually extended LTAAEL model. Notwithstanding the model’s inherent limitations, these are a fair representation of those we would expect under WSP operation and development conditions. They can be compared with flows simulated by other key scenario models, such as annual permitted take (APT) model or without development (WOD) model.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Imagery Date Web Service

The NSW Imagery date web service provides access to a repository of the footprint Spatial Services (DCS) standard imagery covering NSW, plus additional sourced imagery. It contains the footprint of LANDSAT® satellite imagery, standard 50cm orthorectified imageries, High resolution 10cm Town Imageries. It also contains the footprint of high resolution imageries within multiple areas of NSW within Spatial Services (DCS) maintained projects and captured by AAM and Jacobs (previously SKM). This web service is updated periodically when new imageries are available. The imageries are shown 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. The footprint provides an approximate imagery capture date and an extent for all the image categories. The service is available in a cached environment only. This dataset is compliant with the NSW FSDF and its specifications.



<em>NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.</em>



Tags: Boundaries
Organization: Spatial Services (DCS)
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (iii of xi) ID 063071-066000

The palaeo stochastic climate data include 10,000 replicates of 130-yr daily data sets of rainfall and potential evapotranspiration generated using observed data sets without and with combined palaeo climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.

This particular Asset (063071-066000) houses Silo Station IDs:
<ul>
<li>063071 - PORTLAND (JAMIESON ST)</li>
<li>063072 - LITTLE HARTLEY (LITTLE GATES)</li>
<li>063077 - SPRINGWOOD (VALLEY HEIGHTS)</li>
<li>063092 - WENTWORTH FALLS POST OFFICE</li>
<li>063095 - YERRANDERIE (PRIVATE TOWN)</li>
<li>063118 - BILPIN (FERN GROVE)</li>
<li>063132 - LIDSDALE (MADDOX LANE)</li>
<li>063164 - LITHGOW (KYLIE PARK)</li>
<li>063185 - GLENBROOK BOWLING CLUB</li>
<li>063226 - LITHGOW (COOERWULL)</li>
<li>063227 - WENTWORTH FALLS COUNTRY CLUB</li>
<li>063246 - MOUNT WILSON (CLARINE)</li>
<li>063247 - GLENARA</li>
<li>063301 - BOWEN MOUNTAIN (GRANDVIEW LANE)</li>
<li>063307 - TARALGA (KIRIWIN)</li>
</ul>



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: Climate Change perturbed, Climate Data, DCCEEW - Water, DCCEEW - Water Analytics, Observed Climate, Stochastic Climate, Water-Modelling, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Murray Hardyhead Indicative Distribution in NSW

Craterocephalus fluviatilis is a small freshwater fish, native to the floodplains of the southern MurrayDarling Basin. They were once widespread and abundant throughout their range; however the species has suffered a serious decline in abundance and distribution, and are now considered one of the most threatened vertebrate species in Australia. Murray Hardyhead is rare in NSW and only a few isolated populations occur in Victoria and South Australia. All populations are threatened by declining water levels, habitat loss and impacts of pest fish (including Gambusia, Redfin and Carp).

It is listed as a ‘critically endangered’ species in NSW under the Fisheries Management Act 1994.
https://www.dpi.nsw.gov.au/fishing/species-protection/what-current/critically-endangered-species/murray-hardyhead.

This indicative distribution was derived from survey records and expert opinion.

Tags: ECOLOGY, FISHERIES, FRESHWATER, HABITAT, THREATENED SPECIES
Organization: Department of Primary Industries and Regional Development (DPIRD)
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (vi of xi) ID 068001-068020

The palaeo stochastic climate data include 10,000 replicates of 130-yr daily data sets of rainfall and potential evapotranspiration generated using observed data sets without and with combined palaeo climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.

This particular Asset (068001-068020) houses Silo Station IDs:
<ul>
<li>068002 - AVON DAM</li>
<li>068003 - BERRY MASONIC VILLAGE</li>
<li>068007 - CAMDEN (BROWNLOW HILL)</li>
<li>068008 - BUNDANOON (BALLYMENA)</li>
<li>068009 - BURRAWANG (RANGE STREET)</li>
<li>068013 - MENANGLE</li>
<li>068016 - CATARACT DAM</li>
<li>068018 - CORDEAUX NO.1 DAM</li>
</ul>



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: Climate Change perturbed, Climate Data, DCCEEW - Water, DCCEEW - Water Analytics, Observed Climate, Stochastic Climate, Water-Modelling, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fire Extent and Severity Mapping (FESM) 2016/17

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 sentinel 2 and Landsat satellite imagery. Fire Extent and Severity Mapping for the 2016/17 fire year is based on Landsat 8 imagery. Fire Extent and Severity Mapping from the 2017/18 fire year onward is based on Sentinel 2 imagery. The statewide severity map has 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).

This dataset represents the 2016/17 fire year, including wildfires &gt;100ha with fire start date between July 2016 and June 2017.

Tags: Biodiversity Assessment, Burnt Area, Burnt Areas, Canopy, Environment, Fire Severity, Land Management and Biodiversity Conservation, Refugia, Rehabilitation, Wildfires
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (viii of xi) ID 068071-069000

The palaeo stochastic climate data include 10,000 replicates of 130-yr daily data sets of rainfall and potential evapotranspiration generated using observed data sets without and with combined palaeo climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.

This particular Asset (068070-069000) houses Silo Station IDs:
<ul>
<li>068071 - YERRINBOOL</li>
<li>068085 - NERRIGA (TOLWONG)</li>
<li>068089 - JOADJA (GREENWALK)</li>
<li>068108 - WOONONA (POPES RD)</li>
<li>068122 - CAWDOR (WOODBURN)</li>
<li>068166 - BUXTON (AMAROO)</li>
<li>068186 - BERRIMA WEST (MEDWAY(WOMBAT CREEK))</li>
<li>068190 - WATTAMOLLA (TAMOL)</li>
<li>068192 - CAMDEN AIRPORT</li>
<li>068209 - JAMBEROO  (DRUEWALLA)</li>
</ul>



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: Climate Change perturbed, Climate Data, DCCEEW - Water, DCCEEW - Water Analytics, Observed Climate, Stochastic Climate, Water-Modelling, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
CRAFTI Upper North East Floristics VIS 1108

Comprehensive Reserve Assessment Upper North East Aerial Photo Interpretation Mapping Project.;
;
"NPWS (2001) 'Completion of GIS products for the Upper North East CRAFTI floristics layer': Map of broad floristic types for the Upper North East NSW CRA region. Mapping followed traditional API techniques and formulated specifications to capture the information on clear plastic overlays at a scale of 1:25, 000 (except for five 1:50,000 mapsheets). The information exists as an alpha-numeric code string, reflecting the floristic composition of the canopy. Overlays were then scanned and converted into a rectified, attributed, topographically correct digital dataset. Photo information was compiled into 1:100,000 tiles for the project area but was later combined into a merged Upper North East NSW dataset.;
;
Areas where vegetation mapping already existed at an adequate scale and classification, were included within this broad dataset.  Some of those areas had been mapped by external agencies eg. councils and therefore licensing was required to cover this. ;
;
VIS_ID 1108

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Climate Vulnerability Assessment: Walnut

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>walnut</strong> model in the Horticulture and Viticulture node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Water Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Barwon-Darling

Long-term average annual extraction limit (LTAAEL) is a regulatory limit set on annual water extractions from a river system. It ensures that average extractions over the long term are sustainable, and thus help prevent environmental degradation.

In NSW these limits are defined by water sharing plans (WSPs). Every WSP outlines how the water in a river system will be shared over a 10-year period. They also define:

• how LTAAEL compliance is to be assessed for each river system

• what conditions will trigger noncompliance action

• what compliance action can be taken.

The Natural Resources Commission regularly reviews all WSPs to ensure extractions from each river system are within the limits set, and the Murray-Darling Basin Authority reviews sustainable diversion limit (SDL) compliance each year.

To assess compliance, we model LTAAEL using a model that has been configured to represent the development and management rules defined by a system WSP (this refers to as LTAAEL model). We then compare this modelled LTAAEL with the modelled under current conditions long-term average annual extractions (LTAAEs) (which are usually those modelled by the annual permitted take, or APT, model). Although, the LTAAEL includes multiple types of water use, the compliance assessment is based on the total. We do this annually using the best available models, and the outcomes are published on the DPE website.

Where river system’s LTAAE exceed LTAAEL, the system is considered noncompliant. If the noncompliance trigger conditions in the WSP are met, noncompliance action is taken.

The data set provided contains flows at several gauges in each river system, as simulated by the annually extended LTAAEL model. Notwithstanding the model’s inherent limitations, these are a fair representation of those we would expect under WSP operation and development conditions. They can be compared with flows simulated by other key scenario models, such as annual permitted take (APT) model or without development (WOD) model.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water