The Department of Planning provides support to Local Government to enable evidence-based planning decisions. Biodiversity and Conservation Division collaborated with Cessnock City Council in 2021-2022 to deliver environmental map layers (Environmental Lands Study) that facilitate council’s review of their Local Environment Plan. This dataset is one of those and delineates woody vegetation at fine scale across the 196,468-hectare Cessnock Local Government Area (LGA). All tenures were mapped excluding National Parks and Wildlife Service (NPWS) estate because they are formally reserved and protected under Local Environment Plans and were outside of the scope of the Environmental Lands Study. Data is in vector format and was produced to a scale range of 1:500 – 1:3000 and captures individual trees or shrubs with diameters down to 3m whilst excluding and eliminating shadow effects. The dataset is an accurate fine-scale baseline woody dataset for the Cessnock LGA that is current with the image dates of 2017-19 in the east and 2011 for a small area in the far west. From here on the layer will require maintenance and updating as landuse and landcover changes over time. However, the layer’s accuracy means that maintenance and update requirements are minimal in terms of mapping expertise and resources. Either field verified data or newer high-resolution imagery can be used to perform maintenance and updating of the layer.

The NSW 5m Woody Extent is a state-wide binary classification of woody vegetation derived from multitemporal 5m SPOT-5 satellite imagery. The product broadly identifies isolated tree crowns as well as contigous forest at a 5m resolution. This latest map of woody vegetation extent for NSW is the highest detailed to date. It shows the location and extent of woody vegetation in NSW for the year 2011. It can be used to identify small features such as paddock trees and trees in scattered woodlands, to the largest expanses of forest in the state. It is intended for use in non-urban environments and its accuracy for urban environments has not been assessed. The dataset is also used as a spatial constraint for a seamless map of woody foliage projection cover (FPC). FPC is the fraction of the ground that is obscured by green leaf, and is a measure of density. The FPC dataset is delivered as a separate map to the woody extent (although it is constrained by it), and it can also be requested from the OEH data broker. The woody extent product was derived from user-driven thresholds on an index of woody probability. The probability was calculated from a binomial logistic regression model on multi-temporal data. The model utilsed the statistics from SPOT-5 imagery over 2008-2012 and referenced over 26000 training points. Comprehensive manual corrections were also performed throughout 2013-2014 at a scale of 1:15000. The dataset is provided in 8-bit raster format with the following attributes values: 1 = Woody 0 = Non-Woody 255 = null (either outside the NSW boundary or a perennial water feature) Overall state accuracy is recorded at 90.1% when compared to Lidar datasets (see lineage for more information), and 88% when compared to 6670 visually derived validation points. Although this dataset has undergone extensive manual corrections, the accuracy for specific regions may vary considerably. http://www.auscover.org.au/xwiki/bin/view/Product+pages/nsw+5m+woody+extent+and+fpc

The NSW Woody Vegetation Extent & FPC 2011 is a state-wide classification of woody vegetation and Foliage Projection Cover (FPC) derived from multitemporal 5m SPOT-5 satellite imagery. The product broadly identifies isolated tree crowns as well as contiguous forest at a 5m resolution and each woody pixel also contains a measure of FPC. FPC is the fraction of the ground that is obscured by green leaf, and is a measure of density. This latest map of woody vegetation extent and FPC for NSW is the highest detailed to date. It shows the location, extent, and foliage cover for stands of woody vegetation in NSW for the year 2011. It can be used to identify small features such as paddock trees and trees in scattered woodlands, to the largest expanses of forest in the state. It is intended for use in non-urban environments. The dataset is delivered as a 5m raster product with the following cell values: Contains the following cell values only: 101 - 200: Woody FPC 100: Non-Woody 99: Not woody, ephemeral water 98: Permanent of semi-permanent water 97: Not mapped 96: No observations 0: Null Overall state accuracy for the woody extent (fpc validation pending) is recorded at 90.1% when compared to Lidar datasets (see lineage for more information), and 88% when compared to 6670 visually derived validation points. Although this dataset has undergone extensive manual corrections, the accuracy for specific regions may vary considerably. FPC values: To convert woody FPC pixel values (101 - 200) to standard units of FPC apply the following equation: FPC = pixel_value * 0.01 – 1.0 For example a pixel value of 101 is a FPC of 0.01, and a pixel value of 150 is a FPC of 0.50 etc.

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.

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

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