AndreaBozzo/ceres-open-data-index huggingface dataset:
Map of Critically Endangered Ecological Communities NSW Version 6.0

As of <strong>05 May 2021</strong> this map data has been superseded for operational use by <a href="https://datasets.seed.nsw.gov.au/dataset/threatened-ecological-communities-greater-sydney">Threatened Ecological Communities Greater Sydney</a>.  The CEEC product is no longer being maintained.

These map data contain a subset of NSW and Commonwealth listed Critically Endangered Ecological Communities (CEEC) within NSW.  Version 6.0 (February 2020) contains minor adjustments to reflect change in NSW listing status of Sydney Turpentine-Ironbark Forest in the Sydney Basin Bioregion from EEC to CEEC.   Version 1 only contained NSW CEECs. Further details regarding the updating of previous versions are provided under Lineage.

This composite map was derived from the extraction of relevant vegetation map units contained in a variety of existing vegetation maps held in the Office of Environment and Heritage (OEH) VIS (Vegetation Information System) Map Catalogue.  Please note that not all Listed CEECs are currently represented in this dataset. Reasons include: 
<ol>
<li>the CEEC has not yet been mapped; </li>
<li>the CEEC has been mapped but the source data are not yet openly available (see Supplemental Information for details). </li>
</ol>

Further CEECs may be added in future versions of this dataset.

Note, there is no formal process in place to guarantee correction in the source maps that are transferred to this composite map product.

Ecological communities are included in the critically endangered category of the Threatened Species Conservation Act, 1995, if they are facing an extremely high risk of extinction in NSW in the immediate future. Critically Endangered is also a category under the Environment Protection and Biodiversity Conservation Act, 1999.

Tags: NVR MAP, RFS1050, Vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fire Extent and Severity Mapping (FESM) 2020/21

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 satellite 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 2020/21 fire year including all wildfires &gt;10ha and hazard reduction burns &lt;100ha with a fire start date between July 2020 and June 2021.

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
Identification of corridors of river recovery for NSW Central Coast catchments

By connecting corridors of river recovery, resilience can be built into river systems to mitigate against future floods and droughts driven by anthropogenic disturbance or climate extremes. This database can be used to systematically analyse where corridors of geomorphic river recovery could be created via conservation or rehabilitation. Analysis is undertaken in ArcGIS using the recovery potential layer of the Open Access NSW River Styles database that is available from DPIE (www.dpie.nsw.gov.au).  The River Styles database was accessed in January 2021. The database and associated workflow identifies reach and loci connections based on different combinations of recovery potential classes. Reach connections are defined as an upstream to downstream section of river that is connected end-to-end, and loci connections are defined as isolated sections of river from which recovery can be seeded and extended into adjacent reaches. This map for all freshwater stream length of the NSW Central Coast catchments, shows the spatial distribution of thirteen connections based on combinations and sequences of conservation, strategic and high recovery potential targets. Other connections of interest to river practitioners can be identified and &gt;80 different user-defined scenarios run using a workflow available at protocols.io.

Attribution to: Macquarie University, D Agnew and K Fryirs (2022) Corridors of river recovery database and workflow. Data accessed from The Sharing and Enabling Environmental Data Portal.

This work is funded by an Australian Research Council Linkage project based at Macquarie University with industry partners Landcare Australia and Hunter-Central Rivers Local Land Services

This work is published in two Open Access papers:
<ul>
<li>Agnew D, Fryirs K (2022) Identifying corridors of river recovery in coastal NSW Australia, for use in river management decision support and prioritisation systems. PLoS ONE 17(6): e0270285. https://doi.org/10.1371/journal.pone.0270285</li>
<li>Agnew D, Graves BP, Fryirs K (2022) A GIS workflow for the identification of corridors of geomorphic river recovery across landscapes. PLoS ONE 17(12): e0278831. https://doi.org/10.1371/journal.pone.0278831</li>
</ul>

The workflow is available at: https://www.protocols.io/view/a-gis-workflow-for-the-identification-of-corridors-n2bvj8625gk5/v1

Tags: prioritisation, recovery potential, river condition, river rehabilitation
Organization: Macquarie University
Identification of corridors of river recovery for NSW Southern Rivers catchments

By connecting corridors of river recovery, resilience can be built into river systems to mitigate against future floods and droughts driven by anthropogenic disturbance or climate extremes. This database can be used to systematically analyse where corridors of geomorphic river recovery could be created via conservation or rehabilitation. Analysis is undertaken in ArcGIS using the recovery potential layer of the Open Access NSW River Styles database that is available from DPIE (www.dpie.nsw.gov.au).  The River Styles database was accessed in January 2021. The database and associated workflow identifies reach and loci connections based on different combinations of recovery potential classes. Reach connections are defined as an upstream to downstream section of river that is connected end-to-end, and loci connections are defined as isolated sections of river from which recovery can be seeded and extended into adjacent reaches. This map for all freshwater stream length of the NSW Southern Rivers catchments, shows the spatial distribution of thirteen connections based on combinations and sequences of conservation, strategic and high recovery potential targets. Other connections of interest to river practitioners can be identified and &gt;80 different user-defined scenarios run using a workflow available at protocols.io.

Attribution to: Macquarie University, D Agnew and K Fryirs (2022) Corridors of river recovery database and workflow. Data accessed from The Sharing and Enabling Environmental Data Portal.

This work is funded by an Australian Research Council Linkage project based at Macquarie University with industry partners Landcare Australia and Hunter-Central Rivers Local Land Services. 

This work is published in two Open Access papers:
<ul>
<li>Agnew D, Fryirs K (2022) Identifying corridors of river recovery in coastal NSW Australia, for use in river management decision support and prioritisation systems. PLoS ONE 17(6): e0270285. https://doi.org/10.1371/journal.pone.0270285</li>
<li>Agnew D, Graves BP, Fryirs K (2022) A GIS workflow for the identification of corridors of geomorphic river recovery across landscapes. PLoS ONE 17(12): e0278831. https://doi.org/10.1371/journal.pone.0278831 </li>
</ul>

The workflow is available at: https://www.protocols.io/view/a-gis-workflow-for-the-identification-of-corridors-n2bvj8625gk5/v1

Tags: prioritisation, recovery potential, river condition, river rehabilitation
Organization: Macquarie University
Soil Landscapes of the Sydney 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 Australian Great Soil Group and Northcote classification systems.

<strong>Related Datasets:</strong> The dataset area is also covered by the mapping of the <a href="http://datasets.seed.nsw.gov.au/dataset/soil-and-land-resources-of-the-hawkesbury-nepean-catchment2bef0">Soil and Land Resources of the Hawkesbury-Nepean Catchment</a>, <a href="http://datasets.seed.nsw.gov.au/dataset/acid-sulfate-soils-risk0196c">Acid Sulphate Soil Risk Mapping</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>References:</strong> Chapman G.A., Murphy C.L., Tille P.J., Atkinson G. and Morse R.J., 2009, <em>Soil Landscapes of the Sydney 1:100,000 Sheet</em> map,  Ed. 4, Department of Environment, Climate Change and Water, Sydney.

Chapman G.A. and Murphy C.L., 1989, <em>Soil Landscapes of the Sydney 1:100,000 Sheet</em> report, Soil Conservation Service of NSW, Sydney.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Without Development-Peel

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Peel 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)-Belubula

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
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (vii of xi) ID 068021-068070

The 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 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 (068021-068070) houses Silo Station IDs:
<ul>
<li>068022 - DAPTO BOWLING CLUB</li>
<li>068024 - DARKES FOREST (KINTYRE)</li>
<li>068030 - MITTAGONG (HIGH RANGE)</li>
<li>068033 - MITTAGONG (KIA ORA)</li>
<li>068036 - KANGAROO VALLEY (MAIN RD)</li>
<li>068044 - MITTAGONG (ALFRED STREET)</li>
<li>068045 - MOSS VALE (HOSKINS STREET)</li>
<li>068052 - PICTON COUNCIL DEPOT</li>
<li>068054 - ROBERTSON (CAALONG STREET)</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
Illawarra Region BIO Map Corridors

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

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fire Extent and Severity Mapping (FESM) 2019/20

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 satellite 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 2019/20 fire year including all wildfires &gt;10ha with a fire start date between July 2019 and June 2020.

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-Modelled Data-Annual Permitted Take (APT)-Murrumbidgee

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
Forest Ecosystems: Native Vegetation of the Southern Forests: South-east Highlands, Australian Alps, South-west Slopes, and SE Corner bioregions. Pre-1750. VIS ID 3859.

The Southern Forests region covers an area of south-eastern New South Wales south of Oberon and Kiama and east of Albury and Boorowa (between longitude 146o 56 and 147o 6 E, and between latitude 33o 2 and 37 o 6 S). The total area mapped was 3 086 200 hectares. Terrestrial, wetland, and estuarine vegetation of the Southern Forests region were classified into 206 vegetation groups and mapped at a scale between 1:25 000 and 1:100 000. VIS ID 3859

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
State Forest

Dedicated Legal State Forest Boundary (6mb full extent shapefile download)  as defined by Cadastre. Some boundaries may not match current cadastre as maintained by the Department of Finance, Spatial Services. From 2013-2016 FCNSW undertook the project to remap and verify dedicated state forest areas with the current cadastre at time. Shifts in cadastre since the "Estates" project may not be replicated in the Legal State Forest Boundary.

Tags: Forestry, Management
Organization: Forestry Corporation of NSW
Compilation map: Biometric vegetation types of the Shoalhaven, Eurobodalla and Bega Valley local government areas. Version 2.1. VIS_ID 3900

This project collated several vegetation maps (eg; SCIVI VIS_ID 2230) in consultation with end users to produce a composite Biometric vegetation type map for the Shoalhaven, Eurobodalla and Bega Valley local government areas. These vegetation types are used in the NSW Government's assessment tools such as the Property Vegetation Plan (PVP) Developer and the Biobanking vegetation types database.

The project study area is highly vegetated, and encompasses the Shoalhaven, Eurobodalla and Bega Valley LGAs, covering an area of 1,441,942 hectares. Additionally, the Jervis Bay portion of the Australian Capital Territory (ACT) is included.

This project classified 1,189,363 ha of native vegetation (80.5% of the project study area), including 132 Biometric vegetation types within 11 NSW Formations and 39 NSW Classes. Within these, a total of 22 EECs are represented.

Mapping was undertaken by Office of Environment and Heritage (Regional Operations Division) in close consultation with National Parks and Wildlife, Southern Rivers Catchment Management Authority, and Shoalhaven City Council , Bega Valley Shire Councils and Eurobodalla Shire Councils.

Version 2, with amendments based on field verification and external review. 

Version 2.1 is  a minor update. Deletion of one attribute field, Cleared_ , and addition of three attribute fields, PCTID, PCTName and PCTPercentCleared, to align with the Bionet Vegetation Map Data Standard, version 1.0 (https://www.environment.nsw.gov.au/research-and-publications/publications-search/bionet-vegetation-map-data-standard-version-1). PCTID populated using Biometric Id / PCT Id relationship defined in the archived over-cleared vegetation types data sheet (https://www.environment.nsw.gov.au/projects/biometric-dataset.htm) . PCTName populated from Bionet Vegetation Classification database (https://www.environment.nsw.gov.au/research/Visclassification.htm). PCTPercentCleared is populated from PCTPercentCleared in Bionet Vegetation Classification Web Service at 20.10.2018 (https://data.bionet.nsw.gov.au/).  .

Reference: OEH (2013) Compilation map: Biometric vegetation types and endangered ecological communities of the Shoalhaven, Eurobodalla &amp; Bega Valley local government areas. A living map. Version 2.0. Technical Report. NSW Office of Environment &amp; Heritage, Queanbeyan.

VIS_ID 3900

Tags: PCT, TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water