AndreaBozzo/ceres-open-data-index huggingface dataset:
Water quality monitoring locations for NSW State Water Quality Assessment and Monitoring Program (SWAMP)

This dataset contains point features that are a depiction of the monitoring locations for the NSW State Water Quality Assessment and Monitoring Program (SWAMP). SWAMP is a state-wide program to collect, analyse and report water quality in NSW rivers. It has operated since 2007 and collects data from ~140 sites across 13 different regions on a monthly basis.

SWAMP collects water quality data to:
<ul>
<li>Assess ambient river water quality in terms of electrical conductivity, temperature, turbidity, total suspended solids, pH, dissolved oxygen, phosphorus and nitrogen at selected sites across NSW</li>
<li>Provide high quality, long term, statistically robust data to enable river condition and trend reporting</li>
<li>Provide data to enable measures of compliance with state and national guidelines and standards, and</li>
<li>Provide a framework of state-wide river water quality monitoring across NSW upon which other programs can build</li>
</ul>

For more information please see <a href="https://datasets.seed.nsw.gov.au/dataset/state-water-quality-assessment-and-monitoring-program-swamp">SWAMP on SEED</a>

This data is used for:
<ul>
<li>Annual SWAMP reporting</li>
<li>Updating the River Condition Index</li>
<li>Matter 12 (reported every 5 years)</li>
<li>Basin Technical reports</li>
<li>Water Quality Index</li>
<li>Water sharing plan risk assessments</li>
</ul>

The data contains the River Condition Index target values for the unique water quality zone that each site is located in. Please refer to the method document for more details:
<a href="https://publications.water.nsw.gov.au/watergroupjspui/handle/100/2924">Targets to develop a water quality index for NSW rivers - River condition index.pdf</a>



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 Science, Planning, Policy, SEED-Layer-Catalogue, SWAMP, Water Quality, Water quality, rivers, water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fire Extent and Severity Mapping (FESM) 2018/19

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 2018/19 fire year, including wildfires &gt;100ha with fire start date between July 2018 and June 2019.

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
Australian Soil Classification (ASC) soil type map of NSW

This map identifies the dominant soil types across NSW using the Australian Soils Classification (ASC) at Order level. It uses the best available soil resource mapping coverage incorporating over 55 different datasets of multiple scales across NSW. 

The formal ASC classification has been slightly modified in this map to further identify 2 extra sub-classes  -  soils with alluvial origins in the Rudosol order and soils with sodium-rich subsoils in the Kurosol order category.  

Soil types are representative of the dominant facet (sub-landscape) of each map unit and allocated using a lookup table system, linking a Great Soil Group classification soil type to the most appropriate Australian Soil Classification (ASC) class (see LUT table in data package).  In some areas (north coast region and Cobargo area), an ASC classification has been assigned to map units directly without using a lookup system. These areas are identified in the ASC confidence map found within in the data package. While the ASC classification commonly equates to a particular GSG soil type classification, this is is not always the case and therefore ASC classifications allocated manually, will have a higher accuracy. 

<strong>Online Maps:</strong> This dataset 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> Department of Planning, Industry and Environment, 2021, <em>Australian Soil Classification (ASC) Soil Type map of NSW</em>, Version 4.5, Department of Planning, Industry and Environment, Parramatta.

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

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Barwon-Darling. 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
New South Wales River Styles spatial dataset

The NSW River Styles is a spatial dataset that contains over 220,000 km of river length in NSW and records information (attributes) for each discrete section (reach) of river using the River Styles Framework.  

A River Style is a discrete river type, defined according to its valley setting, planform, bed material and assemblage of geomorphic units. The River Styles Framework is an approach to geomorphologically informed river management that was developed at Macquarie University (https://riverstyles.com/river-styles-framework). The four stages in the River Styles Framework, cover the description of river morphology, interpretation of behaviour, assessment of condition, prediction of river recovery potential and prioritisation of river management
Assessments use a range of data including recent and historical imagery, elevation data, along with field assessments to validate the desktop assessments and gather better data on bed material, and geomorphic features and condition. Individual reaches are then considered in context of upstream and downstream reaches and then broader sub-catchment and catchment scale processes, threats and connections, such as erosion and sediment transport, landuse and riparian vegetation.

Tags: Assessment and Evaluation, DCCEEW - Water, DCCEEW - Water Analytics, DCCEEW - Water Science, Natural Resource Management, River Geomorphology, River Styles, Spatial, Water Management, evaluation and reporting, monitoring, rivers
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney

The stochastic climate data and 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.



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
Floodplain Management Plans Spatial Dataset

These datasets represent management units within in-force floodplain management plans across the Murray-Darling Basin in NSW. The data includes the floodplain boundaries, management zones and ecological assets derived from plans gazetted under the NSW Water Management Act 2000. The areas covered by the floodplain boundaries are declared to be floodplains under the Water Management (General) Regulation 2025. The management zones are used to define areas in which specific management rules apply. As such, this data may be used to understand which floodplain management plan rules apply to a specific location. Ecological assets, including flood-dependent ecological assets, are identified in each plan area and are required to be considered in the rules in each floodplain management plan. The plans are in place for 10 years but may be amended within this time. Any updates to the management zones as a result of a plan being amended during, or replaced following its 10 year term will be made available at that time. 

PLEASE NOTE: In the case of any discrepancy between this digital dataset and the published Floodplain Management Plan (accessible on the department’s website) 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 Floodplain Management 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. 

The northern valley dataset(s) were originally developed by the NSW Office of Environment and Heritage as part of the NSW Healthy Floodplains Project.



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

<strong><em><a href="https://water-hub.seed.nsw.gov.au/article/spatial-web-services-better-data-sharing-better-outcomes">Spatial web services—better data sharing for better outcomes</a></em></strong>

Tags: DCCEEW - Water, DCCEEW - Water Analytics, Floodplain, Floodplain Management Plans, Rural Floodplain Management, Water, spatial
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Illawarra Plant Community Type Vegetation Map, 2016. VIS_ID 4678

This layer is a compilation of native vegetation mapping products in the Wollongong, Shellharbour and Kiama local government areas. The layer was originally compiled as a key dataset for input to the Illawarra Biodiversity Investment Opportunities Map (BIO Map). To compile the layer a series of previously existing maps were stitched together and map units assigned to NSW Plant Community Types (PCTs) as held in the BioNet Vegetation Classification database and incorporated into biobanking tools as at 31st December 2016. Map units have also been related to threatened ecological communities listed under the NSW TSC Act (1995) and the Commonwealth EPBC Act (1999) as at 31st December 2016.
VIS_ID 4678

Tags: Plant Community Type, Vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Transitional native vegetation regulatory (NVR) map - land excluded from the LLS Act

The transitional NVR map - land excluded from the LLS Act layer is a component of the transitional NVR map. The transitional NVR map was prepared by Department of Planning and Environment (DPE) under Part 5A of the Local Land Services Act 2013 (LLS Act) and supporting Local Land Services Regulation 2014.

Section 60A of the Local Land Service Act 2013 (LLS Act) identifies land where the regulatory framework for native vegetation clearing in rural areas does not apply. 
This land is mapped as Land Excluded from the LLS Act on the transitional NVR map.

The 2022 annual review of the transitional NVR map was published on 23 March 2022. Please read below for details of land types included in the transitional NVR map - land excluded from the LLS Act layer and changes occurring as a result of the 2022 Annual Review. The latest version of the map can be viewed online using the <a href="https://www.lmbc.nsw.gov.au/Maps/index.html?viewer=NVRMap">transitional NVR Map Viewer</a>

Land excluded from the LLS Act listed under Section 60A of the LLS Act includes:
<ul>
<li>Urban areas under the State Environmental Planning Policy (Vegetation in Non-Rural Areas) 2017, including  33 local government areas and 22 listed local environmental plan zones under the Environmental Planning and Assessment Act 1979.</li>
<li>National Park estate and other conservation areas</li>
<li>State forestry land.</li>
<li>Crown Reserves; land dedicated or reserved under the Crown Lands Act 1989</li>
<li>Interim Heritage order or listing on the State Heritage Register under the Heritage Act 1977</li>
<li>Lord Howe Island</li>
</ul>

Changes to the transitional NVR map  - land excluded from the LLS Act layer arising from the 2021 Annual Review include:
<ul>
<li>

Environmental Planning Instrument (EPI) land zoning – updates to land excluded from the LLS Act as a result of changes to land zoning for some local government areas.
</li>
<li>

National Park, State Forest and Crown Land Estate
Updates to land excluded from the LLS Act as a result of changes to the National Park, State Forest and Crown Land Estates
</li>
</ul>

A complete list of lands excluded from the LLS Act can be found in the Native Vegetation Regulatory Map - Method statement found:
https://www.environment.nsw.gov.au/-/media/OEH/Corporate-Site/Documents/Animals-and-plants/Biodiversity/native-vegetation-regulatory-map-method-statement-220033.pdf

All spatial data sets compiled for the transitional NVR lands excluded from the LLS Act layer are held within databases maintained by NSW Government.  

Data on the transitional NVR viewer is updated on a monthly basis for Landholder initiated Map Reviews and other minor data changes. https://www.lmbc.nsw.gov.au/Maps/index.html?viewer=NVRMap

Please contact Department of Planning and Environment data broker on data.broker@environment.nsw.gov.au for additional information.

Tags: Excluded Land, NVR Map, Native Vegetation Regulation Map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Vegetation Formations and Classes of NSW (version 3.03 - 200m Raster) - David A. Keith and Christopher C. Simpson. VIS_ID 3848

This vegetation map shows the extant distributions of vegetation formations and classes throughout NSW, and provides users with information about the resolution, currency and uncertainties in the underlying data that were used to assemble the map. Data represents NSW native vegetation extent, compiled from various vegetation maps using methods outlined in Simpson et al. (2011) and in Keith and Simpson (2010). The NSW vegetation map (version 2.2, Keith and Simpson 2006) was revised by interpreting additional candidate maps as vector layers and synthesising these into a single raster-based data set. This involved eight steps: developing a comprehensive ‘standard’ classification of vegetation classes for NSW; collating and standardising the projection and format of candidate source maps; assigning vegetation units of source maps to NSW vegetation classes; assessing the spatial resolution, currency and reliability of candidate source maps; assembling a composite map from candidate source maps to maximise reliability; applying a spatial mask to represent extant native vegetation; adjusting spatial resolution by dissolving small polygons and converting to 200 m raster; attributing the spatial resolution, currency and reliability of the underlying source data sets. The classification of 106 vegetation classes described by Keith (2004) was adopted as the framework for preparation of version 3.03 of the NSW vegetation map. Polygons from the “Estuarine macrophytes CCA” dataset of less than 0.1 ha were eliminated. For all other datasets polygons of less than 2 ha were eliminated. The map incorporates data from a statewide woody vegetation mask from the NSW Woody Vegetation Change Detection Program (Kitchen et al. 2010). The map is presented as a raster within an ESRI ArcGIS (9.3) geodatabase. Supersedes Keith and Simpson (2006), Keith (2004) and Pressey et al. (2000). Pressey et al. (2000) was the native veg extent product used to calculate native veg cover values for the Over-Cleared Landscapes Database prior to July 2006. References: Keith D. A. (2004) Ocean Shores to Desert Dunes: The native vegetation of New South Wales and the ACT. Department of Environment and Conservation, Sydney. Keith, D. A. and Simpson, C. C. (2010) Vegetation Formations of NSW (version 3.0): A seamless map for modelling fire spread and behaviour. Report to the Rural Fire Service. NSW Department of Environment and Climate Change. October 2010. Keith, D. A. and Simpson, C. C. (2006). A protocol for assessment and integration of vegetation maps, with an application to spatial data sets from south-eastern Australia. Austral Ecology 33, 761–774. Pressey, R.L., Hager, T.C., Ryan, K.M., Schwarz, J., Wall, S., Ferrier, S. and Creaser, P.M. (2000). Using abiotic data for conservation assessments over extensive regions: quantitative methods applied across New South Wales, Australia. Biological Conservation 96, 55-82

Tags: vegetation classes, vegetation formations
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-No Plan Environmental Water (No PEW)

Water sharing plans (WSP) are established under the Water Management Act 2000 (the Act) and are prepared for all water sources in NSW. These plans are also a component of Water Resources Plans prepared as a requirement of the Basin Plan 2012, covering water sources in the Murray–Darling Basin.

WSP’s are reviewed and replaced periodically (usually every ten years) to ensure the long-term health of ecosystems and communities in specific WSP areas. The review of a WSP includes a formal evaluation to assess appropriateness, efficiency of implementation, effectiveness in meeting plan objectives, and alignment with the Act's requirements.

The evaluation follows a step-by-step process which includes a model scenario to represent the effects of Planned Environmental Water (PEW) rules in the WSP.

This high-level (“No PEW”) scenario enables a comparison of modelled flows at key locations within the river system between scenarios WITH and WITHOUT plan environmental rules to inform an assessment of the effectiveness of the PEW rules in the WSP.



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, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Extant Native Vegetation (Keith and Simpson 2006) - Version 002

Data represents NSW native vegetation extent, compiled from various vegetation maps using method outlined in (Keith and Simpson 2006). Data is also known as Keith and Simpson (2006) Version 002. Includes 4 layers i) woody native veg extent (natwdy_002), ii) non-woody native veg extent (rgrass002), and iii) secondary grassland extent (sgrass002). natwdy002 and rgrass002 are combined to create total NSW native veg extent (extveg_002). Data was developed for use in the July 2006 Biometric tool update, and specifically the update of the Over-Cleared Landscapes database, which underpins the NSW Property Vegetation Planning (PVP) process.

Supersedes Keith (2004) and Pressey et al. (2000). Pressey et al. (2000) was the native veg extent product used to calculate native veg cover values for the Over-Cleared Landscapes Database prior to July 2006. (also see (Keith and Simpson,in press)

Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW seabed landforms derived from marine lidar data 2022

Seabed landform features were classified from the New South Wales statewide marine lidar dataset, acquired in 2018 by Fugro Pty Ltd on behalf of the Department of Planning and Environment (data available for download on SEED, see below). Seabed features were extracted from the marine lidar data and classified into seabed landform classes. Classified landform features include reefs, plains, peaks, scarps, depressions and channels. These landforms capture variation in the shape and structure of reef outcrops along the NSW coastal and nearshore environment. 
Features were classified using the Seabed Landforms Classification Toolset developed for ArcGIS by the Coastal and Marine Unit, DPE (Linklater et al. 2023) which are publicly available on SEED (https://datasets.seed.nsw.gov.au/dataset/seabed-landforms-classification-toolset) and GitHub (https://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/). 

The statewide dataset is provided as ArcGIS shapefiles divided into 9 segments along the coast. The data covers 4060 km2, extending from the coastline (0 m AHD) to a maximum of 50 m depth, reaching an average depth of 35 m. Data coverage extends a maximum distance of 9 km offshore, with coverage extending on average 3 km offshore.

This dataset provides an understanding of the extent and distribution of submerged reefs along the NSW coast, which contributes fundamental baseline information for managers, users and custodians of the marine environment. 

This dataset was funded by the Marine Estate Management Authority and NSW Climate Change Fund through the Coastal Management Funding Package. 

Please cite this dataset as: Linklater, M., Morris, B., Kinsela, M., Ingleton, T. and Hanslow, D. (2022), Exploring patterns of reef distribution along the southeast Australian coast using marine lidar data. Manuscript in preparation. 

NSW statewide marine lidar data – available for download on SEED: https://datasets.seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018

Linklater, M., Morris, B.D. and Hanslow, D.J. (2023), Classification of seabed landforms on continental and island shelves. Frontiers in Marine Science, 10, https://www.frontiersin.org/articles/10.3389/fmars.2023.1258556/full.

Linklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., Allen, K. M., Sutherland, M. D., &amp; Hanslow, D. J. 2019. Techniques for classifying seabed morphology and composition on a subtropical-temperate continental shelf. Geosciences, 9(3), 141.

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