Fsdf

## Overview

Fsdf is a dataset for instance segmentation tasks - it contains Fsdfsd annotations for 741 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

dfsdfsd. Visit https://dataone.org/datasets/sha256%3Ab61cfc01b78e0c5d5d257b8c376e3771aaaf7392b1304331210f8dc9caa31c9d for complete metadata about this dataset.

Explore the historical Whois records related to fsdf.space (Domain). Get insights into ownership history and changes over time.

The Foundation Spatial Data Framework (FSDF) is a framework of ten national authoritative geographic data themes that supports evidence-based social-economic decision making across multiple levels of Australian and New Zealand government agencies, industry, research and the community. The AAA data management principles (Authoritative, Accurate and Accessible), articulated for FSDF, are easily translatable to the FAIR Principles and applied to ensure: - Ability to Find data through rich and consistently implemented metadata; - Access to metadata and data by humans and machines while practicing federated data management within trusted data repositories; - Interoperability of metadata and data through adoption of common standards and application of best practices; and - Reusability of data by capturing licencing constraints and information about its quality and provenance. The Location Information Knowledge Platform (LINK) was developed in 2016 as a digital catalogue of FSDF content. This governed, online, dynamic, analysis and discovery tool was designed to enhance the discovery of FSDF datasets, support work planning and indicate the legal frameworks, agency priorities and use case associated with FSDF data. More than 73 Australian government agencies and commercial organisations use this Platform. Current work includes: - Building common high-level and individual lower-level information models (ontologies) for the FSDF and each dataset; - Development of a new architecture for persistent identifiers and identifier incorporation in the datasets; - The ISO 19115-1-based Australian and New Zealand Metadata profile and best practices user guides; and - Testing new workflows for metadata and data governance and integration utilising a set of common cloud-based infrastructure. On realisation, the FSDF will become a necessary component of spatial socio-economic decision making across Australian and New Zealand government agencies and the private sector. FSDF will encourage cross-sector partnerships and enable seamless access to authoritative spatial data across organisational and jurisdictional boundaries, thus contributing to economic growth, improved public safety, meeting legal and policy obligations and sustaining business needs.

Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Fsdf sdkjgf.

Australia's Land Borders is a product within the Foundation Spatial Data Framework (FSDF) suite of datasets. It is endorsed by the ANZLIC - the Spatial Information Council and the Intergovernmental Committee on Surveying and Mapping (ICSM) as a nationally consistent and topologically correct representation of the land borders published by the Australian states and territories.

The purpose of this product is to provide: (i) a building block which enables development of other national datasets; (ii) integration with other geospatial frameworks in support of data analysis; and (iii) visualisation of these borders as cartographic depiction on a map. Although this dataset depicts land borders, it is not nor does it suggests to be a legal definition of these borders. Therefore it cannot and must not be used for those use-cases pertaining to legal context.

This product is constructed by Geoscience Australia (GA), on behalf of the ICSM, from authoritative open data published by the land mapping agencies in their respective Australian state and territory jurisdictions. Construction of a nationally consistent dataset required harmonisation and mediation of data issues at abutting land borders. In order to make informed and consistent determinations, other datasets were used as visual aid in determining which elements of published jurisdictional data to promote into the national product. These datasets include, but are not restricted to: (i) PSMA Australia's commercial products such as the cadastral (property) boundaries (CadLite) and Geocoded National Address File (GNAF); (ii) Esri's World Imagery and Imagery with Labels base maps; and (iii) Geoscience Australia's GEODATA TOPO 250K Series 3. Where practical, Land Borders do not cross cadastral boundaries and are logically consistent with addressing data in GNAF.

It is important to reaffirm that although third-party commercial datasets are used for validation, which is within remit of the licence agreement between PSMA and GA, no commercially licenced data has been promoted into the product. Australian Land Borders are constructed exclusively from published open data originating from state, territory and federal agencies.

This foundation dataset consists of edges (polylines) representing mediated segments of state and/or territory borders, connected at the nodes and terminated at the coastline defined as the Mean High Water Mark (MHWM) tidal boundary. These polylines are attributed to convey information about provenance of the source. It is envisaged that land borders will be topologically interoperable with the future national coastline dataset/s, currently being built through the ICSM coastline capture collaboration program. Topological interoperability will enable closure of land mass polygon, permitting spatial analysis operations such as vector overly, intersect, or raster map algebra. In addition to polylines, the product incorporates a number of well-known survey-monumented corners which have historical and cultural significance associated with the place name.

This foundation dataset is constructed from the best-available data, as published by relevant custodian in state and territory jurisdiction. It should be noted that some custodians - in particular the Northern Territory and New South Wales - have opted out or to rely on data from abutting jurisdiction as an agreed portrayal of their border. Accuracy and precision of land borders as depicted by spatial objects (features) may vary according to custodian specifications, although there is topological coherence across all the objects within this integrated product. The guaranteed minimum nominal scale for all use-cases, applying to complete spatial coverage of this product, is 1:25 000. In some areas the accuracy is much better and maybe approaching cadastre survey specification, however, this is an artefact of data assembly from disparate sources, rather than the product design. As the principle, no data was generalised or spatially degraded in the process of constructing this product.

Some use-cases for this product are: general digital and web map-making applications; a reference dataset to use for cartographic generalisation for a smaller-scale map applications; constraining geometric objects for revision and updates to the Mesh Blocks, the building blocks for the larger regions of the Australian Statistical Geography Standard (ASGS) framework; rapid resolution of cross-border data issues to enable construction and visual display of a common operating picture, etc.

This foundation dataset will be maintained at irregular intervals, for example if a state or territory jurisdiction decides to publish or republish their land borders. If there is a new version of this dataset, past version will be archived and information about the changes will be made available in the change log.

The Digital Elevation Model Imagery Catalog layer describes precision elevation datasets acquired from LiDAR and aerial / satellite sensors currently archived in the department. Precision elevation products are defined as Digital Terrain Models (or bare Earth Digital Elevation Models) captured from either LiDAR sources or photogrammetrically derived from aerial photography. LiDAR classified point clouds and derived Digital Terrain Models under a CC-BY license have been uploaded to the ELVIS Elevation and Depth Online Portal (https://elevation.fsdf.org.au/).

The Middleton LiDAR dataset is high resolution digital information available as classified point cloud data or a 1 metre Digital Elevation Model (DEM) and can be downloaded on a 1 km tile basis from …Show full descriptionThe Middleton LiDAR dataset is high resolution digital information available as classified point cloud data or a 1 metre Digital Elevation Model (DEM) and can be downloaded on a 1 km tile basis from http://elevation.fsdf.org.au. The data was collected in 2017 and covers the Middleton coastal area.

Explore the historical Whois records related to fsdf.xyz (Domain). Get insights into ownership history and changes over time.

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This collection provides a seamlessly merged, hydrologically robust Digital Elevation Model (DEM) for the Murray Darling Basin (MDB), Australia, at 5 m and 25 m grid cell resolution.

This composite DEM has been created from all the publicly available high resolution DEMs in the Geoscience Australia (GA) elevation data portal Elvis (https://elevation.fsdf.org.au/) as at November 2022. The input DEMs, also sometimes referred to as digital terrain models (DTMs), are bare-earth products which represent the ground surface with buildings and vegetation removed. The DEMs were either from lidar (0.5 to 2 m resolution) or photogrammetry (5 m resolution) and totalled 852 individual DEMs.

The merging process involved ranking the DEMs, pairing the DEMs with overlaps, and adjusting and smoothing the elevations of the lower ranked DEM to make the edge elevations compatible with the higher-ranked DEM. This method is adapted from Gallant 2019 with modifications to work with hundreds of DEMs and have a variable number of gaussian smoothing steps.

Where there were gaps in the high-resolution DEM extents, the Forests and Buildings removed DEM (FABDEM; Hawker et al. 2022), a bare-earth radar-derived, 1 arc-second resolution global elevation model was used as the underlying base DEM. FABDEM is based on the Copernicus global digital surface model.

Additionally, hillshade datasets created from both the 5 m and 25 m DEMs are provided.

Note: the FABDEM dataset is available publicly for non-commercial purposes and consequently the data files available with this Collection are also available with a Creative Commons NonCommercial ShareAlike 4.0 Licence (CC BY-NC-SA 4.0). See https://data.bris.ac.uk/datasets/25wfy0f9ukoge2gs7a5mqpq2j7/license.txt Lineage: For a more detailed lineage see the supporting document Composite_MDB_DEM_Lineage.

DATA SOURCES 1. Geoscience Australia elevation data (https://elevation.fsdf.org.au/) via Amazon Web Service s3 bucket. Of the 852 digital elevation models (DEMs) from the GA elevation data portal, 601 DEMs were from lidar and 251 were from photogrammetry. The latest date of download was Nov 2022. The oldest input DEM was from 2008 and the newest from 2022.

1. FABDEM - Forests and buildings removed DEM based on the 1 arc-second Copernicus global digital surface model. Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., Neal, J., 2022. A 30 m global map of elevation with forests and buildings removed. Environ. Res. Lett. 17, 024016. https://doi.org/10.1088/1748-9326/ac4d4f

METHODS Part I. Preprocessing The input DEMs were prepared for merging with the following steps: 1. Metadata for all input DEMs was collated in a single file and the DEMs were ranked from finest resolution/newest to coarsest resolution/oldest 2. Tiled input DEMs were combined into single files 3. Input DEMs were reprojected to GA LCC conformal conic projection (EPSG:7845) and bilinearly resampled to 5 m 4. Input DEMs were shifted vertically to the Australian Vertical Working Surface (AVWS; EPSG:9458) 5. The input DEMs were stacked (without any merging and/or smoothing at DEM edges) based on rank so that higher ranking DEMs preceded the lower ranking DEMs, i.e. the elevation value in a grid cell came from the highest rank DEM which had a value in that cell 6. An index raster dataset was produced, where the value assigned to each grid cell was the rank of the DEM which contributed the elevation value to the stacked DEM (see Collection Files - Index_5m_resolution) 7. A metadata file describing each input dataset was linked to the index dataset via the rank attribute (see Collection Files - Metadata)

Vertical height reference surface https://icsm.gov.au/australian-vertical-working-surface

Part II. DEM Merging The method for seamlessly merging DEMs to create a composite dataset is based on Gallant 2019, with modifications to work with hundreds of input DEMs. Within DEM pairs, the elevations of the lower ranked DEM are adjusted and smoothed to make the edge elevations compatible with the higher-ranked DEM. Processing was on the CSIRO Earth Analytics and Science Innovation (EASI) platform. Code was written in python and dask was used for task scheduling.

Part III. Postprocessing 1. A minor correction was made to the 5 m composite DEM in southern Queensland to replace some erroneous elevation values (-8000 m a.s.l.) with the nearest values from the surrounding grid cells 2. A 25 m version of the composite DEM was created by aggregating the 5m DEM, using a 5 x 5 grid cell window and calculating the mean elevation 3. Hillshade datasets were produced for the 5 m and 25 m DEMs using python code from https://github.com/UP-RS-ESP/DEM-Consistency-Metrics

Part IV. Validation Six validation areas were selected across the MDB for qualitative checking of the output at input dataset boundaries. The hillshade datasets were used to look for linear artefacts. Flow direction and flow accumulation rasters and drainage lines were derived from the stacked DEM (step 5 in preprocessing) and the post-merge composite DEM. These were compared to determine whether the merging process had introduced additional errors.

OUTPUTS 1. seamlessly merged composite DEMs at 5 m and 25 m resolutions (geotiff) 2. hillshade datasets for the 5 m and 25 m DEMs (geotiff) 3. index raster dataset at 5 m resolution (geotiff) 4. metadata file containing input dataset information and rank (the rank column values link to the index raster dataset values) 5. figure showing a map of the index dataset and 5m composite DEM (jpeg)

DATA QUALITY STATEMENT Note that we did not attempt to improve the quality of the input DEMs, they were not corrected prior to merging and any errors will be retained in the composite DEM.

This linked data API allows online access to all the AusPIX cells as a database. All DGGS cells, at all common resolutions, are mapped on individual landing pages, along with descriptors for spatial extent, centroid, neighbours, parent cells and child cells. Includes alternate views in a variety of formats, and can be manually or machine read. This is an online resource for the "AusPIX Data Integration by Locality Framework".

It is built as a virtual database where the AusPIX DGGS Engine calculates information on demand.

Location of this Linked data API is: https://fsdf.org.au/dataset/auspix/collections/auspix/items/R78523

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 …Show full descriptionThe 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.

Australia's Land Borders is a product within the Foundation Spatial Data Framework (FSDF) suite of datasets. It is endorsed by the ANZLIC - the Spatial Information Council and the Intergovernmental …Show full descriptionAustralia's Land Borders is a product within the Foundation Spatial Data Framework (FSDF) suite of datasets. It is endorsed by the ANZLIC - the Spatial Information Council and the Intergovernmental Committee on Surveying and Mapping (ICSM) as a nationally consistent and topologically correct representation of the land borders published by the Australian states and territories. The purpose of this product is to provide: (i) a building block which enables development of other national datasets; (ii) integration with other geospatial frameworks in support of data analysis; and (iii) visualisation of these borders as cartographic depiction on a map. Although this dataset depicts land borders, it is not nor does it suggests to be a legal definition of these borders. Therefore it cannot and must not be used for those use-cases pertaining to legal context. This product is constructed by Geoscience Australia (GA), on behalf of the ICSM, from authoritative open data published by the land mapping agencies in their respective Australian state and territory jurisdictions. Construction of a nationally consistent dataset required harmonisation and mediation of data issues at abutting land borders. In order to make informed and consistent determinations, other datasets were used as visual aid in determining which elements of published jurisdictional data to promote into the national product. These datasets include, but are not restricted to: (i) PSMA Australia's commercial products such as the cadastral (property) boundaries (CadLite) and Geocoded National Address File (GNAF); (ii) Esri's World Imagery and Imagery with Labels base maps; and (iii) Geoscience Australia's GEODATA TOPO 250K Series 3. Where practical, Land Borders do not cross cadastral boundaries and are logically consistent with addressing data in GNAF. It is important to reaffirm that although third-party commercial datasets are used for validation, which is within remit of the licence agreement between PSMA and GA, no commercially licenced data has been promoted into the product. Australian Land Borders are constructed exclusively from published open data originating from state, territory and federal agencies. This foundation dataset consists of edges (polylines) representing mediated segments of state and/or territory borders, connected at the nodes and terminated at the coastline defined as the Mean High Water Mark (MHWM) tidal boundary. These polylines are attributed to convey information about provenance of the source. It is envisaged that land borders will be topologically interoperable with the future national coastline dataset/s, currently being built through the ICSM coastline capture collaboration program. Topological interoperability will enable closure of land mass polygon, permitting spatial analysis operations such as vector overly, intersect, or raster map algebra. In addition to polylines, the product incorporates a number of well-known survey-monumented corners which have historical and cultural significance associated with the place name. This foundation dataset is constructed from the best-available data, as published by relevant custodian in state and territory jurisdiction. It should be noted that some custodians - in particular the Northern Territory and New South Wales - have opted out or to rely on data from abutting jurisdiction as an agreed portrayal of their border. Accuracy and precision of land borders as depicted by spatial objects (features) may vary according to custodian specifications, although there is topological coherence across all the objects within this integrated product. The guaranteed minimum nominal scale for all use-cases, applying to complete spatial coverage of this product, is 1:25 000. In some areas the accuracy is much better and maybe approaching cadastre survey specification, however, this is an artefact of data assembly from disparate sources, rather than the product design. As the principle, no data was generalised or spatially degraded in the process of constructing this product. Some use-cases for this product are: general digital and web map-making applications; a reference dataset to use for cartographic generalisation for a smaller-scale map applications; constraining geometric objects for revision and updates to the Mesh Blocks, the building blocks for the larger regions of the Australian Statistical Geography Standard (ASGS) framework; rapid resolution of cross-border data issues to enable construction and visual display of a common operating picture, etc. This foundation dataset will be maintained at irregular intervals, for example if a state or territory jurisdiction decides to publish or republish their land borders. If there is a new version of this dataset, past version will be archived and information about the changes will be made available in the change log.

Access APINSW Features of Interest Category - Justice Facilities Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into …Show full description Access APINSW Features of Interest Category - Justice Facilities Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS84 = GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that these original services will adopt the new multiCRS functionally. The Features of Interest – Justice Services is a point feature dataset that represents the location of Court Houses, Gaols and other Justice related datasets which are crucial to delivery of Education Services to NSW.The Features of Interest category Justice Services is part of the Building Complex feature class and is represented as a community facility.Features that make up the NSW Features of interest Category - Justice Services include:Court House - A facility used for holding courts of law and the operation or administration of judicial authorities and commissions. This point feature dataset is part of the NSW Features of interest Category. Court house data points are positioned within the cadastral parcel in which they are located.Gaol - A facility for the confinement or safe custody of criminals and others committed by law. This point feature dataset is part of the NSW Features of interest Category. Gaol data points are positioned within the cadastral parcel in which they are located.These features do not fit within one of the ten foundation spatial data themes and are therefore classified as a category. They have historically been captured by Spatial Services as part of the NSW topographic mapping program and therefore warrant inclusion.MetadataType Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets Features of Interest Category of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, a range of themes from the NSW FSDF including, transport, imagery, positioning, water and land cover. This dataset 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 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 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS84 Geographic 2D WGS84 Equivalent To GDA94 Spatial Extent Full state Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

This item belongs to the Data Portal Maintenance system, DO NOT DELETE OR MODIFY THIS ITEM without approval. This item is managed by the Enterprise Sites application. Metadata Portal Metadata …Show full descriptionThis item belongs to the Data Portal Maintenance system, DO NOT DELETE OR MODIFY THIS ITEM without approval. This item is managed by the Enterprise Sites application. Metadata Portal Metadata InformationContent TitleAbout Tile Content TypeOtherDescriptionSite Page - About Tile - required for the Data Portal Maintenance System. DO NOT DELETE without approval. Initial Publication Date17/06/2024Data Currency17/06/2024Data Update FrequencyOtherContent SourceOther File TypeDocument Link Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Foundation Spatial Data Framework (FSDF) AccuracyN/A Spatial Reference System (dataset)Other Spatial Reference System (web service)Other WGS84 Equivalent ToOther Spatial ExtentN/A Content LineageFor additional information, please contact us via the Spatial Services Customer Hub Data ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer Hub Terms and ConditionsCreative CommonsStandard and SpecificationN/A Data CustodianData Portal Team DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795 Point of ContactPlease contact us via the Spatial Services Customer Hub Data AggregatorData Portal Team DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795 Data DistributorData Portal Team DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Additional Supporting InformationData Dictionaries TRIM Number

This map contains district-based ACT canopy cover polygons at 1m resolution (vegetation cover above 3m) as at April/May 2020, detected with Light Detection and Ranging (LiDAR). The full ACT vector dataset has been split into districts and 1km tiles to allow for easier viewing.WARNING: Due to complexity and high resolution this dataset may draw slowly or appear to miss some trees. For best results, zoom in, view single districts separately, or download a local copy.LIDAR data was acquired in April/May 2020 for the ACT under contract by Aerometrex, at an average resolution of 12ppm. LiDAR is classified to Level 3 (for ground) and delivered as LAS v1.4 in in GDA2020 MGA zone 55. Visit https://www.planning.act.gov.au/survey-spatial-data-and-maps/actmapi-and-spatial-data/lidar-data for more info. Processing was completed on the LAS GDA2020 MGA Zone 55 LAS tile set using AHD vertical datum at 1m resolution. Dataset represents high vegetation above 3m (tree canopy or tree-approximate objects - see caveats).Methodology:High noise errors were reclassified.Digital Surface Model (DSM) and Digital Elevation Model (DEM) surfaces were created using ArcPro 2.8 LAS Dataset Geoprocessing Tools at 1 m resolution.Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM).Pits (empty cells inside tree canopies) of 2 pixel (2x1m) were removed using Nibble.An ACT Urban building footprint layer generated from the 2020 LIDAR dataset by Aerometrex was used to remove spurious canopy portions from building roof areas in the urban area.An NDVI layer from pan-sharpened Pleiades multispectral satellite imagery, acquired in April 2019 (the Uriarra area) and November 2019 (rest of Urban Area) was used to delete erroneous non-vegetative surfaces in urban areas.Canopy holes <=1m2 were filled by Eliminate tool.GDA2020 MGA Zone 55.Tree canopy lower than 3m were removed. Converted to a binary raster, then converted to vector.Other available datasets: ACT 2020 Canopy Height Model (raster), ACT Trees (Individual Delineated Trees with Height) (vector), DEM, DSM, Contours, Building Footprints (© Australian Capital Territory & Aerometrex Limited), ACT Permeability, shrub cover - contact spatialdata@act.gov.au. Full LAS Tile sets can also be obtained in the following vertical datums: GDA2020 ellipsoidal, AHD, AVWS - see https://elevation.fsdf.org.au/. Other derivative products (including other canopy products) are available on request or through the ACT Geospatial Data Catalogue.Road, Block and Division Canopy 2020 Statistics also available here: https://actmapi-actgov.opendata.arcgis.com/maps/act-canopy-cover-2020-statistics/aboutCaveats:1. Please note that most (if not all) CHM-based tree delineation results should be thought of as "tree-approximate objects", and not actual trees. 2. Although every effort was made to remove any erroneous polygons (such as street lights, back yard fences and powerlines), there are likely to be some errors remaining.Creative Commons by Attribution (CCBY) 4.0 (Australian Capital Territory). Any sharing, adaption/transformation and value adding, including commercial use should be attributed to ACT Government (Australian Capital Territory). This dataset has been created from the original LiDAR capture and classification © Australian Capital Territory & Aerometrex Limited 2020.How to cite this data: ACT Government (2020) (Botha, H). ACT Canopy Cover 1m 2020. Environment, Planning and Sustainable Development Directorate (EPSDD), ACT Government. Canberra, ACT. Accessed via ACT Geospatial Data Catalogue.

This data is maintained by the Spatial Services Spatial Data Services. If you have any questions with regards to this dataset, please contact SS-SDS@customerservice.nsw.gov.au

The NSW Points of Interest (POI) web service allows users to search for and identify the location of features that people may want to see on a map, know about or visit. POI features are derived from features maintained within multiple themes of the NSW Foundation Data Framework (FSDF).

The features included in the NSW POI web service are: community, education, medical, recreation, transportation, utility, hydrography, physiography and place.

Click on "Go to Resource" to view the data source.