AndreaBozzo/ceres-open-data-index huggingface dataset:
Biodiversity Conservation Lands (Detailed State Version) for the Mid North Coast Regional Strategy

The Biodiversity Conservation Lands dataset has been compiled for the Mid North Coast and interpreted as presenting planning constraints at three scales
State: Areas identified as of state significance in recognition of a related state or federal conservation policy or program
Regional : Areas identified as of regional significance generally in recognition of a related state policy or program or as providing buffers to state significant lands
Local : Areas  recognised through local conservation zoning and including all remnant vegetation
Principles for deriving conservation constraints:


A twenty five-year planning horizon was adopted for identifying Biodiversity Conservation Lands and opportunities


State, regional and local significance classes for conservation constraints were adopted and spatially delineated


Biodiversity features are presented as constraints with limited or no transferability. Irreplaceability of significant features is generally low and in situ conservation is generally required. The level of irreplaceability for each feature is noted in the metadata proforma


Biodiversity Conservation Lands will generally be identified across the landscape regardless of current tenure or zoning. Whilst back-zoning of existing development zones is not envisaged, protection of high conservation value features occurring in existing development zones will be encouraged


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

Tags: Biodiversity Planning
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Murray Riparian Vegetation Mapping. VIS_ID 4156

In 1986, the River Murray Riparian Vegetation Survey was initiated by the Murray-Darling Basin Commission (MDBC) to assess the present status of the vegetation along the River Murray, to identify causes of degradation, and to develop solutions for its rehabilitation and long term stability. The Study area was the floodplain of the River Murray and its anabranches, including the Edward-Wakool system, from below Hume Dam to the upper end of Lake Alexandrina, a total of nearly 9,000 square kilometres (900,000 hectares). The survey was conducted by Margules and Partners Pty Ltd, P and J Smith Ecological Consultants, and the then Victorian Department of Conservation, Forests and Lands (DCFL). The results were then compiled by DCFL, a report published (see References) and a GIS was constructed.
Please note that the vegetation mapping uses a mixed floristic/structural classification. VIS_ID 4156

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Litter and Groundstorey Vegetation Biomass Data

These data were collected as part of the NSW Grazing Study.  All surface litter was collected from a single small quadrat (0.5m x 0.5m) at either 0m or 50m location along the 200m transect. Litter was oven-dried, divided into the following six components and weighed separately: overstorey leaves (shrubs and trees), groundstorey leaves, reproductive structures (seeds, flowers, capsules, nuts), woody components (sticks, bark), animal derived material (invertebrates, dung), and frass (&lt; 2 mm diameter).
Calculation of plant biomass. Groundstorey vegetation biomass was calculated using an adaption of the comparative yield method (Haydock &amp; Shaw, 1975) using photo-standards to assist in estimation of biomass. At each site all five small quadrats (0.5m x 0.5m) were photographed at a 45° angle about 1 m above the quadrat. After photographing we clipped, oven-dried and weighed all vegetative material rooted (living or dead) within either the 0m or the 50 m small quadrat (451 sites by one quadrat). Trained observers used the photographs to estimate groundstorey plant biomass for all quadrats, calibrating their estimation against the series of photographs of with known biomass. The harvested samples were used to assess accuracy of the estimations at each site and the observers estimates averaged, scaled across quadrats at a site to generate a site-level estimation of groundstorey biomass.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Goodiman State Conservation Area vegetation map, 2013. VIS_Id 4355

A compilation of the vegetation data stored in the source feature dataset. Each estate has best available veg mapping as determined by PaCs Botanist, with Keith Formations and fire thresholds added. Estate includes NPWS acquired lands. To recieve further updates contact individual NPWS Region STOs. All information is best available at time of production. Fields are Description: Vegetation type as described in feature class Code: code as described in feature class PCT: added where available (If ends in * more than one community may have been listed in report, only first community was added) NSW_Class: added where available (If ends in * more than one community may have been listed in report, only first community was added) NSW_Formation: added for all polygons FormationSourceID: links to FormationSourceLUT, oultines how formation was assigned and history of changes. Veg - long integer links Fire_Veg_Type_LUT which contains Min: minimum years btw burns Max: Maximum years between burns, Adv: 1= fire advantage and Regime Source. This code is dependent on region 1000-FWR 2000 - NPR 3000 -NTR 4000 - WRR, 9000 - Standardised classes Keith classes linking to regimes defined by Bradstock. Original_id: object id in source feature class source_id: Code relating to Vegetation sourceLUTdetailing origin of vegetation feature class, any changes made PWGRegion:domain with NPWG region PWGArea:domain with NPWG area EstateName: domain with NPWG estate name, also includes offpark Hectares - calculated useing calculate geometry, GDA94 z55 Last updated August 2013, Version 5. VIS_ID 4355

Tags: PCT, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
CRAFTI (Comprehensive Regional Assessment Aerial Photographic Interpretation), Structure, Southern CRA (Comprehensive Regional Assessments), Tumut Sub-region. NATCODE (naturalness code). VIS_ID 4160

This dataset provides a breakdown of the CRAFTI structural attribute string into individual fields and classifies each of these strings into a naturalness category (CATEGORY) and naturalness code (NATCODE). This provides the user with easily identifiable structural attributes and corresponding NATCODE. VIS_ID 4160

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Native vegetation mapping of Dry Lake, Gunbar, Hay, Moggumbil, One Tree and Oxley 1: 100 000 map sheets VIS_ID 2215

Native vegetation mapping of Dry Lake, Gunbar, Hay, Moggumbil, One Tree and Oxley 1: 100 000 map sheets.
Native vegetation, including forest, woodland and grass/forbland assemblages, is described and mapped. Spatial delineation of map units is accomplished using stereoscopic air photo interpretation assisted by satellite imagery. Floristic composition of map units is based on analysed, plot-based floristic data collected at 748 plots (20 by 20 metres) using a random stratified sampling procedure. (VIS_ID 2215)

Tags: Vegetation, vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NORTHERN BASIN CONNECTIVITY

The Northern Basin Connectivity Program is progressing connectivity improvements identified as part of the Western Regional Water Strategy. This includes analysis to inform potential changes to water sharing plan flow targets (triggers) to improve water flows across the connected catchments of the northern NSW Murray-Darling Basin at important times to achieve the following outcomes:  
•   Protection - Protect the first flush of water after an extended dry period to protect critical human and environmental needs and support recovery post droughts 
•   Flows - Reduce the impact of cease-to-flow periods and improve low-flow connectivity 
•   Water Quality - Support water quality and reduce the risk of algal blooms forming 
•   Ecology - Support fish migration 
Analysis undertaken to support this work is available in the tree structure below. 
NB: For more information about the Departments Northern Basin Connectivity Program, please visit: https://www.dpie.nsw.gov.au/water/our-work/projects-and-programs/northern-basin-connectivity-program

Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, Modelling, Models, Northern basin
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fish Community Baseline Monitoring in the Gingham Watercourse, Lower Gwydir River and Lower Mehi River 2024

Changes in land use practices and water resource development have resulted in a reduction in volume,
frequency and duration of flows reaching watercourses and wetlands in the western sections of the Gwydir
catchment. This has resulted in a decline in the abundance and distribution of native freshwater fish across
the entire valley. The Department of Primary Industries and Regional Development (Fisheries) was engaged by
the NSW Department of Climate Change, Energy, the Environment and Water (DCCEEW), Biodiversity,
Conservation and Science (BCS) Group to conduct baseline fish community sampling in the Lower Gwydir
catchment, as part of the Gwydir Reconnecting Watercourse Country Program (Gwydir RWC Program). The
main objective of the project was to collect baseline data on fish communities in the three RWC Program areas
to provide information on the current state of the fish community and to assist in evaluating the effectiveness
of the Gwydir RWC Program intervention measures in the future, which are proposed to include improving
environmental water delivery through designated flow corridors and the removal or modification of physical
constraints to improve flows to wetlands. Nineteen sites were sampled (or visited) between May and October
2024, within three areas across the lower Gwydir Valley; Lower Gwydir River (n = 5), Lower Mehi River (n = 6)
and Gingham Watercourse (n = 8). In total 297 fish were caught (n = 295) or observed (n = 2) which included six
native and three exotic species. The exotic species common carp (Cyprinius carpio) had the highest abundance,
and the highest overall biomass of the fish sampled. Of the thirteen native species “expected” to occur, eight
were not captured but, six of these are considered “rare” or “occasional” and as such there was only a low
expectancy of them being caught. However, several more “common” species were also not sampled or were in
extremely low numbers including Murray cod, freshwater catfish, carp gudgeon and Murray-Darling
rainbowfish. Restoring the fish communities across the lower Gwydir and its associated tributaries will be a
long journey requiring willingness and participation across all levels of government and society alike.
Returning consistent water to the wetlands in the Gwydir and Gingham systems for longer periods and
reconnecting the Gwydir system to the wider Barwon-Darling via regular whole of system connectivity along
the entire lower Mehi will have both immediate and long-term benefits for fish.

Tags: Baseline survey, Fish Community, Gwydir wetlands
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Native Vegetation of the Murray Catchment Management Authority Area. VIS_ID 3808, VIS_ID 3809, VIS_ID 3810, VIS_ID 3811

Native vegetation was delineated into stands using feature recognition software. A hybrid classification method that combined spatial modelling and visual interpretation was used to combine the features and create a vegetation map.
SPOT 5 and Landsat satellite imagery was used in the creation of image objects. The spectral response of individual SPOT 5 scenes varied widely across the catchment so it was not used in the classification of vegetation type. Spatial layers used in the classification included a Digital Elevation Model (DEM), Landsat reflectance data, radiometric data and soil and climate layers, all of which are available for the entire State. Over 340 new full floristic survey sites were commissioned and the results were combined with 900 existing survey site records to create training areas for spatial modelling. Each survey site was assigned a New South Wales Vegetation Classification and Assessment (NSWVCA) vegetation type.
The relationship between survey sites and spatial layers was explored by using machine learning software and vegetation type was classified using an object-based nearest neighbour approach. The catchment was divided into three discrete spatial models with separate training and validation survey sites. Model performance was assessed on the basis of the number of NSWVCA types mapped correctly in five classes of precision. The percentage of correctly modelled vegetation types ranged between 58% and 68%.
Several vegetation community types were not able to be modelled (e.g. chenopods) or were poorly modelled due to lack of sample data. These communities were added or amended based on the visual interpretation of remotely sensed data. The amended map was assessed against a limited subset of independent survey data. The percentage of correctly mapped vegetation types in five classes of precision ranged between 72% and 78%.
The mapping was presented in a geodatabase, which allows for user-generated updates so that the product can evolve as more field data are collected.
ROFF, A., SIVERTSEN, D., AND DENHOLM, B. 2010. The Native Vegetation of the Murray Catchment Management Authority Area, NSW Department of Environment, Climate Change and Water, Sydney, Australia.
VIS_ID 3808 VIS_ID 3809 VIS_ID 3810 VIS_ID 3811

Tags: PCT, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Landscape - Modified (DEM-S) Elevation layer

This is a modified product of Geoscience Australia's Smoothed Digital Elevation Model (DEM-S) https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/72759.
The DEM-S layer has been modified by removing negative values by setting these values to zero. This layer has been snapped to a common extent to align with grids in the SVTM Modelling Grid Collection.

Tags: Elevation, LAND
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Bobbiwaa State Conservation Area Vegetation Mapping. VIS_ID 3987

Vegetation survey and mapping of Bobbiwaa State Conservation Area in 2008, commissioned by NPWS Narrabri Region. Six communities were determined based on floristic analysis of 20 x 20 m survey sites, and described using dominant species and structural characteristics. Vegetation communities were mapped using ground truthing, position in landscape and stereo interpretation of aerial photos captured at 1:50,000. Lineage and attribution accuracy are unknown. VIS_ID 3987

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Gosford LGA Vegetation 2009. VIS_ID 3908

Gosford LGA Vegetation 2009. Vegetation mapping for Gosford LGA by Stephen Bell in 2004.  A vegetation survey, classification and mapping program was undertaken during 2003. A revision to the 2004 study was undertaken in 2009 principally to complete a pre-1750 vegetation map for the LGA, but also to update the extant vegetation map and address various issues involving conservation significance, including the presence of Threatened Ecological Communities listed post-2004. A revised report detailing the background, methodology, results, and conservation significance of this project was prepared in 2009 and includes information on the pre-1750 vegetation. 
Footprint only supplied. For data access to the vegetation map, please contact Central Coast Council -  https://www.centralcoast.nsw.gov.au/.
VIS_ID 3908

Tags: BV Map, NVR MAP, TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NPWS Overall Fuel Hazard Assessment (OFH)

This dataset contains a standardised assessment of the Overall Fuel Hazard at a location and point in time.
NPWS requires a consistent and defendable fuel assessment process to support fire management. Several fuel assessment methods are currently available for use in south-east Australia, two of these are: 

The Overall Fuel Hazard (OFH) Guide (McCarthy et al. 1999), and 
Project Vesta (Gould et al. 2007). 

NPWS Fire Management Manual Policy specifies the use of the Overall Fuel Hazard Guide 3rd Edition (McCarthy et al. 1999). This is the specified fuel assessment tool in Bushfire Management Coordinating Committee policy and must be used, as a minimum, by NPWS when measuring pre- and post-fuel hazard for prescribed burning operations. 
The University of Wollongong has identified that the 3rd and 4th editions of the OFH Guides can generate very different results from the same sample point, with the 4th edition commonly providing higher fuel hazard ratings, which has implications for risk management planning, burn intervals and burn prescriptions.
From 27th June 2019 the collection process was streamlined to only capture the data required for the operational OFH calculation. Prior to this extra fields were being collected to form a dataset that could be utilised for research purposes. Fire Management Circular 2019/06 has more details but the changes are summarised below.

Nine fields have been removed from the form and are no longer required to be captured.
Vegetation type is now mandatory.
If Heathland/Shrubland vegetation type is selected, only two OFH fields are required.
Equivalent fuel load (t/ha) is now calculated automatically by Elements.


Tags: Fuel assessment, OFH, fire planning
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Biodiversity Conservation Lands (Detailed Local Version) for the Mid North Coast Regional Strategy

The Biodiversity Conservation Lands dataset has been compiled for the Mid North Coast and interpreted as presenting planning constraints at three scales:
State: Areas identified as of state significance in recognition of a related state or federal conservation policy or program
Regional : Areas identified as of regional significance generally in recognition of a related state policy or program or as providing buffers to state significant lands
Local : Areas  recognised through local conservation zoning and including all remnant vegetation
Principles for deriving conservation constraints:


A twenty five-year planning horizon was adopted for identifying Biodiversity Conservation Lands and opportunities


State, regional and local significance classes for conservation constraints were adopted and spatially delineated


Biodiversity features are presented as constraints with limited or no transferability. Irreplaceability of significant features is generally low and in situ conservation is generally required. The level of irreplaceability for each feature is noted in the metadata proforma


Biodiversity Conservation Lands will generally be identified across the landscape regardless of current tenure or zoning. Whilst back-zoning of existing development zones is not envisaged, protection of high conservation value features occurring in existing development zones will be encouraged


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

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Wagga Wagga Railway 3D May 2024

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

Tags: 3D, Railway, Transport, Wagga Wagga
Organization: Spatial Services (DCS)