AndreaBozzo/ceres-open-data-index huggingface dataset:
FireTools Cloud Results - NPWS West Branch

FireTools Cloud is a web-based GIS processing environment developed by the NSW Bushfire Risk Management Research Hub, a NSW focused research partnership between the NSW Department of Planning, Industry and Environment, the University of Wollongong, Western Sydney University, the University of NSW, the University of Tasmania, the University of Melbourne and the NSW Rural Fire Service. It is designed to replicate and replace the functionality of the FireTools II ArcGIS processing plugin to assist in fire management planning. Users upload a datapack containing the GIS files used to run a standard FireTools II analysis, configure the layers and fields that define the analysis, and submit the analysis for processing. After processing is complete, users can download a results pack containing GIS files with analysis results. Selected results are distributed for use as described below.

Results are true and correct only for the reserves within the NPWS West Branch. Fire history outside the reserves is incomplete so results should not be relied upon.

Layers in this data package:
Heritage threshold status: Input vegetation classified into LongUnburnt, WithinThreshold, Vulnerable, TooFrequentlyBurnt, Unknown and NoFireRegime (raster and vector). This layer is used to monitor the status of vegetation across the study area with respect to its biodiversity-related impacts of fire.

Number of times burnt: The number of times any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector)

Time Since Last Fire: The number of years since any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector)

Time Since Last Fire SFAZ: The number of years since any given Strategic Fire Advantage Zone (SFAZ) within the study area has been intersected by a burnt area polygon in the fire history. This is then classified into 3 time slices whereby 0-6 years = Recently Treated, 7-10 years = Monitor OFH in the field and &gt;10 years = Priority for Assessment and Treatment. (raster and vector). This layer is used to find candidate burn blocks to assess for addition into a hazard reduction program of works.

Vegcode: A simple display layer showing the input vegetation groups over the study area. This is not a fully attributed vegetation layer – it is designed as a simple visual (raster only).

VegBase. This is a copy of the input veg used, showing just the VEG code, MIN, MAX. Can be used to analyse what is driving results in a given location.

Data is updated up to 4 times per year.

Tags: Fire Management, Fire Planning, bushfire
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Regional Water Strategy areas spatial dataset

Regional water strategies (RWS) set the direction for water planning and management at a regional scale over the next 20-40 years. There are 14 regional water strategies <em>(including Greater Sydney Water Strategy)</em>, tailored to the unique challenges and needs of each region. They have been developed in partnership with water service providers, local councils, communities, Aboriginal people and other stakeholders across NSW.

The boundaries of regional water strategy areas define regions in NSW for which regional water strategies are prepared. The boundaries are based on several factors, including:
<ul>
<li>surface water hydrology</li>
<li>statutory instruments, such as water sharing plans and water resource plans</li>
<li>economic, social and cultural factors</li>
<li>government strategic plans</li>
</ul>

The boundaries of regional water strategy (RWS) areas mostly, but not exclusively, align with groups of water sharing plan boundaries for surface water sources:
<ul>
<li>In coastal areas, RWS boundaries align with Water Sharing Plan boundaries</li>
<li>In inland areas, RWS boundaries align with Water Resource Plan boundaries. </li>
</ul>

The NSW Murray RWS also includes the area for the Wentworth weir pool. Its boundary is further defined using the Bureau of Meteorology’s (BoM) geofabric AHGF Catchment layer to include the catchments that incorporate the Wentworth Weir pool. The Fish River–Wywandy RWS boundary was also further defined using the BoM geofabric, local council boundaries and National Parks Estate boundaries.



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: Boundaries, DCCEEW - Water, DCCEEW - Water Analytics, RWS, Regional Water Strategy, Regions
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Monitoring, Evaluation and Reporting (Theme 2): NSW Wetland Monitoring Sites

Spatial extent of wetland types identified by the NSW Monitoring, Evaluation and Reporting (MER) program for state-wide monitoring of wetland condition. The condition of the wetlands in this spatial layer has been preliminarily assessed using pressure and condition indicators detailed in the related dataset listed in this metadata statement.

Detailed descriptions of the monitoring methods and preliminary results can be found in: Sonia Claus, Sarah Imgraben, Kirsty Brennan, Alex Carthey, Benjamin Daly and Neil Saintilan (in prep) NSW Wetlands Monitoring, Evaluation and Reporting Program Technical Report. NSW Department of Environment, Climate Change and Water, Sydney. The 'Draft Report'.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Sharing Plans-Regulated River Water Sources-Spatial Dataset

This dataset contains best endeavours aggregation and depiction of regulated river water sources derived from In Force Water Sharing Plans (WSP) for Regulated systems, as gazetted under the NSW Water Management Act 2000.  

PLEASE NOTE: In the case of any discrepancy between this digital dataset and the published Water Sharing Plan (accessible on the www.legislation.nsw.gov.au site) the instrument as made by the Minister remains the authoritative source and should be used to both interpret the intent of the Plan and in subsequent decision making. Best endeavours have been made in collating relevant Water Sharing Plan boundary and attribution contained in this dataset. However, no warranty is provided as to the accuracy or currency of this representation. The department does not warrant and is not liable for the use of this material as per the licenced sharing conditions CC-BY 4.0.



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: DCCEEW - Water, DCCEEW - Water Analytics, Gazetted, Plan, Planning, Regulated, Regulated River Water Sources, River, Spatial, Stream, WSP, Water, Water Sharing Plan, Water Sources, catchment, hydro
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Gwydir

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
Soil condition monitoring MER 2008: final result map

This ESRI shapefile with attribute table comprises final results for the Soil Condition theme from the 2008-2009 NSW Monitoring Evaluation and Reporting program. Soil condition is a product of numerous physical and chemical attributes and processes, and was assessed using a number of key indicators: sheet erosion, gully erosion, wind erosion, soil acidity, soil organic carbon, soil structure, soil salinity and acid sulfate soils.  It may be interpreted as the soil's ability to deliver ecosystem services and is rated for each of eight indicators from 5 (at or better than reference, natural or pristine condition) to 1 (very degraded). The shapefile gives results for 124 Soil Monitoring Units (SMUs) including (i) the overall Soil Condition index, (ii) the worst rated indicator and its index, and (iii) the worst rated indicator which is rated poor or worse and therefore of concern. Full results are presented in the Technical Report:
OEH (2014), Soil condition and land management in NSW: final results from the 2008-09 monitoring evaluation and reporting program,  http://www.environment.nsw.gov.au/research-and-publications/publications-search/soil-condition-and-land-management-in-new-south-wales  

Tags: land degradation, soil health
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Murrumbidgee

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
Land Systems of Western New South Wales

Land systems are areas or groups of areas throughout which there is a recurring pattern of topography, soils and vegetation. This vector dataset with accompanying hardcopy report describe 251 land systems for Western New South Wales. They provide soil and land resource information suitable to assist in broad scale land-use planning and land management. Land systems were mapped at a scale of 1: 250,000 scale.

<strong>Related Datasets:</strong> The dataset area is also covered by the mapping of the <a href="http://datasets.seed.nsw.gov.au/dataset/reconnaissance-soil-and-land-resources-of-the-murray-catchment">Reconnaissance Soil and Land Resources of the Murray Catchment</a> and <a href="http://datasets.seed.nsw.gov.au/dataset/hydrogeological-landscapes-nsw-act">Hydrogeological landscapes of NSW</a>.

<strong>Online Maps:</strong> This and related datasets can be viewed using <a href="http://espade.environment.nsw.gov.au/">eSPADE</a> (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 <a href="https://geo.seed.nsw.gov.au/Public_Viewer/index.html?viewer=Public_Viewer&amp;locale=en-AU">SEED Map</a>; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.

<strong>Reference:</strong> Walker PJ, 1991, Land System of Western NSW, Technical Report No. 25, Soil Conservation Service of NSW, Sydney.

Tags: Soil Land Systems
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Draft Vegetation map, South Eastern Wollemi National Park, 2010. VIS_ID 4184

Vegetation mapping of the South Eastern Wollemi National Park, 2010. For more information see: DECCW (2010) The Native Vegetation of South-eastern Wollemi National Park and surrounds. VOLUME 1: TECHNICAL REPORT . Department of Environment Climate Change and Water. Hurstville. and DECCW (2010) The Native Vegetation of South-eastern Wollemi National Park and surrounds. VOLUME 2: VEGETATION COMMUNITY PROFILES . Department of Environment Climate Change and Water. Hurstville. This report describes the methods and results of vegetation survey, classification and mapping in South-eastern Wollemi National Park, NSW. The study area encompasses that portion of the reserve currently managed by the DECCW Hawkesbury Area office, and includes small areas of private lands that adjoin or are in holdings within the reserve. This project forms part of a staged approach to the classification and mapping of native vegetation across the entire Wollemi-Blue Mountains-Yengo reserve system. It has been carried out under the Central Branch Parks and Wildlife Division Biodiversity Survey Priorities Program, a program designed to provide standard levels of biodiversity information across all reserves in the Branch. This part of the reserve has been targeted as a priority as the previous vegetation mapping survey and mapping effort was low. New survey and mapping investment has resulted in a revised native vegetation classification system that places the communities present in the reserve into a wider regional classification system. In this way the conservation status of the communities present are more easily assessed, enabling a more robust understanding of the relationships with Endangered Ecological Communities listed under the NSW Threatened Species Conservation Act, 1995 or the Commonwealth Environment Protection Act, 1999. VIS_ID 4184

Tags: TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
FireTools Cloud Results - NPWS Southern Ranges Branch

FireTools Cloud is a web-based GIS processing environment developed by the NSW Bushfire Risk Management Research Hub, a NSW focused research partnership between the NSW Department of Planning, Industry and Environment, the University of Wollongong, Western Sydney University, the University of NSW, the University of Tasmania, the University of Melbourne and the NSW Rural Fire Service. It is designed to replicate and replace the functionality of the FireTools II ArcGIS processing plugin to assist in fire management planning. Users upload a datapack containing the GIS files used to run a standard FireTools II analysis, configure the layers and fields that define the analysis, and submit the analysis for processing. After processing is complete, users can download a results pack containing GIS files with analysis results. Selected results are distributed for use as described below.

Results are true and correct only for the reserves within the NPWS Southern Ranges Branch. Fire history outside the reserves is incomplete so results should not be relied upon.

Layers in this data package:
Heritage threshold status: Input vegetation classified into LongUnburnt, WithinThreshold, Vulnerable, TooFrequentlyBurnt, Unknown and NoFireRegime (raster and vector). This layer is used to monitor the status of vegetation across the study area with respect to its biodiversity-related impacts of fire.

Number of times burnt: The number of times any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector)

Time Since Last Fire: The number of years since any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector)

Time Since Last Fire SFAZ: The number of years since any given Strategic Fire Advantage Zone (SFAZ) within the study area has been intersected by a burnt area polygon in the fire history. This is then classified into 3 time slices whereby 0-6 years = Recently Treated, 7-10 years = Monitor OFH in the field and &gt;10 years = Priority for Assessment and Treatment. (raster and vector). This layer is used to find candidate burn blocks to assess for addition into a hazard reduction program of works.

Vegcode: A simple display layer showing the input vegetation groups over the study area. This is not a fully attributed vegetation layer – it is designed as a simple visual (raster only).

VegBase. This is a copy of the input veg used, showing just the VEG code, MIN, MAX. Can be used to analyse what is driving results in a given location.

Data is updated up to 4 times per year.

Tags: Fire Management, Fire Planning, bushfire
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Aboriginal Heritage Impact Permit Boundaries

This data records the boundaries of Aboriginal Heritage Impact Permits (AHIPs) issued, varied, surrendered or revoked under Section 90a of the National Parks and Wildlife Act 1974. Some AHIPs have not been included in the layer due to poor data quality or missing information. Users should verify the exact boundary with the AHIP documentation and refer to the AHIP Public Register to identify any AHIPs in an area that have not been included in the layer.

Tags: AHIP, Aboriginal Cultural Heritage, Aboriginal Heritage Impact Permit
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Points of Interest (POI)

The Points of Interest (POI) web service provides the identification and location of a feature, service or activity that people may want to see, know about or visit. POI features for this service are primarily derived from features maintained within the Digital Topographic Database (DTDB). The POI feature class is maintained programmatically (automated) by sourcing spatial and aspatial attributes from other feature classes in the DTDB that contain POI features. The midpoint of a line or polygon features is used to define the POI. Points of Interest include features related to Community, Education, Recreation, Transportation, Utility, or Hydrography, Physiography and Place, and defined as a place with a prescribed name. The attribute information for an individual dataset may have been thinned or modifed to cater for the service. The service is available in a cached environment only. This dataset is compliant with the NSW FSDF and its specifications. For details information for each individual dataset contained in this web services.



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



Organization: Spatial Services (DCS)
Water Modelling-Modelled Data-Without Development-Castlereagh

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Castlereagh Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies.

The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Annual Permitted Take (APT)-Lachlan

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