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Department of Finance, Services and Innovation - NSW Foundation Spatial Data Framework - NSW SLATS LANDSAT Woody Change
This dataset was derived from the primary ‘SLATS Landsat woody change data (25m) for 1988 – 2010’ raster (grid) layers used to generate the annualised woody vegetation change rates for the 2010 NSW Annual Report of Native Vegetation. This data describes the areas and type of woody vegetation change (loss) based on the analysis of multi-date Landsat imagery covering NSW. This data is based on a biennial LANDSAT coverage between 1988-2006 and annual coverage 2006-2010. LANDSAT Imagery 1988-2008 was processed by Geoscience Australia at 25m resolution. 2008 onwards is based on USGS processed LANDSAT at 30m resolution. Note, this vector data may generate slightly different aerial statistics to those generated from the source raster data. This is due to variation caused by the data transformation and vector cleaning processes applied in generating the vector data.
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NSW Landuse 2017
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PLEASE NOTE: This dataset has been superseded by NSW Landuse 2017 v1.5 The 2017 Landuse captures how the landscape in NSW is being used for food production, forestry, nature conservation, infrastructure and urban development. It can be used to monitor changes in the landscape and identify impacts on biodiversity values and individual ecosystems. The NSW 2017 Landuse mapping is dated September 2017. It incorporates tenure based information for National Parks and State Forests in NSW, at the time of mapping. It currently does not include the Greater Sydney Metropolitan Region. Greater Sydney region will be completed in late 2019 and will be incorporated into the NSW 2017 land use product version 1.1. The NSW Landuse 2013, currently contains the best available information for the Greater Sydney region. https://datasets.seed.nsw.gov.au/dataset/nsw-landuse-2013 The 2017 Landuse has complete coverage of all regional centres and towns for NSW. It also includes updates to the fine scale Horticulture mapping for the east coast of NSW - Newcastle to the Queensland boarder. This horticultural mapping includes operations to the commodity level based on field work and high resolution imagery interpretation. The reliability scale is 1:10,000 and include values in the attribute fields of Source, Source Date, Source Scale, Reliability and LU Mapping (Currency) Date. Land use has been mapped on high resolution aerial imagery including ADS (digital imagery) captured by NSW Department of Finance, Service and Innovation, along with using Nearmap, Google Earth and Google Street View. Satellite imagery from LANDSAT (NASA), Sentinel 2 (European Space Agency), SPOT 5, 6 and 7(Airbus) and Planet Imagery, was used in the mapping process to account for Landuse activities that occur as part of a rotational practise. Land use information has been captured in accordance with standards set by the Australian Collaborative Land Use Mapping Program (ACLUMP) and using the Australian Land Use and Management ALUM Classification Version 8. The ALUM classification is based upon the modified Baxter & Russell classification and presented according to the specifications contained in http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification. This product will be incorporated in the National Catchment scale land use product 2018 that will be available as a 50m raster - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) http://www.agriculture.gov.au/abares/aclump/land-use/data-download
Statewide Landcover and Trees Study (SLATS) Woody Vegetation Change Report
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The Statewide Landcover and Trees Study (SLATS) monitors woody vegetation extent and changes in Queensland using Sentinel-2 satellite imagery as its primary tool. This dataset provides annual summaries of woody vegetation clearing and regrowth from the 2018–19 reporting period onward, aligning with an updated Sentinel-2-based methodology introduced in 2018. The data is presented as annual time series summaries, with each year’s data corresponding to a nominal August-to-August reporting period. Summary statistics are provided at the state-wide scale, as well as for administrative boundaries, natural resource management regions and divisions, and other authoritative datasets. This multi-year dataset includes data from the 2018–19 onwards SLATS reporting periods. It supersedes and is not directly comparable with SLATS data published for reporting periods up to and including 2017–18, due to a methodological change. Note that regrowth was not reported in 2018–19; values for regrowth in that year are represented as zero in the dataset.
NSW Land Use 2017 v1.5
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The 2017 Landuse captures how the landscape in NSW is being used for food production, forestry, nature conservation, infrastructure and urban development. It can be used to monitor changes in the landscape and identify impacts on biodiversity values and individual ecosystems. The NSW 2017 Landuse mapping is dated September 2017. This is version 1.5 of the dataset, published December 2023. Version 1.5 of the 2017 Landuse incorporates the following updates: Fine scale mapping of the Central Coast, Illawarra and Shoalhaven regions Mapping enhancements to regional centres to improve the mapping accuracy for these centres NSW road network based on road centreline data from Transport NSW, with standardised buffer applied to approximate the carriage width based on the road type Plantation type (native hardwood and softwood) information within State Forest Estates Horticulture data to tertiary or commodity level present in September 2017 from Australian Tree Crop Map Dashboard developed by University of New England - Applied Agricultural Remote Sensing Centre https://www.une.edu.au/research/research-centres-institutes/applied-agricultural-remote-sensing-centre/collaborative-r-and-d-opportunities/industry-applications-and-maps Fixes to identified errors since published version 1.2 Previous Versions *Version 1.4 internal update (not published) * Version 1.3 internal update (not published) * Version 1.2 published 24 June 2020 - Fine scale update to Greater Sydney Metropolitan Area * Version 1 published August 2019 The 2017 Landuse is based on Aerial imagery and Satellite imagery available for NSW. These include, but not limited to; digital aerial imagery (ADS) captured by NSW Department of Customer Service (DCS), high resolution urban (Conurbation) digital aerial imagery captured on behalf of DCS, SPOT 5, 6 & 7(Airbus), Planet™, Sentinel 2 (European Space Agency) and LANDSAT (NASA) Satellite Imagery. Mapping also includes commercially available imagery from Nearmap™ and Google Earth™, along with Google Street View™. Mapping takes into consideration ancillary datasets such as tenure such as National Parks and State forests, cadastre, roads parcels, land zoning, topographic information and Google Maps, in conjunction with visual interpretation and field validation of patterns and features on the ground. The 2017 Landuse was captured on screen using ARC GIS (Geographical Information Software) at a scale of 1:8,000 scale (or better) and features are mapped down to 2 hectares in size. Exceptions were made for targeted Landuse classes such as horticulture, intensive animal husbandry and urban environments, which were mapped at a finer scale. The 2017 Landuse has complete coverage of NSW. It also includes updates to the fine scale Horticulture mapping for the east coast of NSW - Newcastle to the Queensland boarder and Murray-Riverina Region. This horticultural mapping includes operations to the commodity level based on field work and high-resolution imagery interpretation. Landuse classes assigned are based on activities that have occurred in the last 5-10 years that may be part of a rotational practice. Time-series LANDSAT information has been used in conjunction with more recent Satellite Imagery to determine whether grasslands have been disturbed or subject to ongoing land management activities over the past 30 years. The 2017 Landuse was captured on screen using ARC GIS (Geographical Information Software) at a scale of 1:8,000 scale (or better) and features are mapped down to 2 hectares in size. Exceptions were made for targeted Landuse classes such as horticulture, intensive animal husbandry and urban environments (including Greater Sydney Metropolitan region), which were mapped at a finer scale. The reliability scale of the dataset is 1:10,000. Mapping has been subject to a peer review and quality assurance process. Land use information has been captured in accordance with standards set by the Australian Collaborative Land Use Mapping
ALS Analysis into Forest Structure Change - Coffs Harbour
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Export DataAccess APIThese datasets were produced as part of a study undertaken by the University of Newcastle, commissioned by the NSW Natural Resources Commission. The study produced a report, titled ‘Retrospective Analysis of Forest Structure Change: ALS Data Comparison and Interpretation’.These datasets are part of a web application on the Spatial Collaboration Portal, accessible through the below URL:Metadata Portal Metadata InformationContent TitleALS Analysis into Forest Structure Change - Coffs HarbourContent TypeOtherDescriptionALS derived canopy height & coverage models and associated factors.Initial Publication Date24/05/2024Data Currency24/05/2024Data Update FrequencyOtherContent SourceOtherFile TypeImagery LayerAttributionData produced by University of Newcastle for the Natural Resources CommissionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number
Baselines for Soil Health and Stability in NSW RFA Regions: Drivers and Trends
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Export DataAccess APIThe Forest Monitoring Steering Committee commissioned a consortium between the NSW Department of Planning, Industry and Environment and the University of Sydney to deliver Baselines, Drivers and Trends for soil stability and health in forest catchments across the NSW Regional Forest Agreement areas.Find out more about the project here.Drivers & Trends: Maps describing trends of soil quality indicators and the impact of key drivers of soil condition change, such as Climate Change, Land Disturbance, Bushfires etc. This includes DSM models and Data Cube models using machine learning techniques.More information and the underlying datasets can be found here.Metadata Portal Metadata InformationContent TitleBaselines for Soil Health and Stability in NSW RFA Regions: Drivers and TrendsContent TypeScene Layer/Scene Layer PackageDescriptionMaps describing trends of soil quality indicators and the impact of key drivers of soil condition change, such as Climate Change, Land Disturbance, Bushfires etc. This includes DSM models and Data Cube models using machine learning techniques.Initial Publication Date14/06/2022Data Currency14/06/2022Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number
ALS Analysis into Forest Structure Change Study Areas
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Export DataAccess APIThese datasets were produced as part of a study undertaken by the University of Newcastle, commissioned by the NSW Natural Resources Commission. The study produced a report, titled ‘Retrospective Analysis of Forest Structure Change: ALS Data Comparison and Interpretation’.Metadata Portal Metadata InformationContent TitleALS Analysis into Forest Structure Change Study AreasContent TypeOtherDescriptionALS derived canopy height & coverage models and associated factors.Initial Publication Date24/05/2024Data Currency24/05/2024Data Update FrequencyOtherContent SourceOtherFile TypeImagery LayerAttributionData produced by University of Newcastle for the Natural Resource CommissionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number