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NSW Woody Vegetation Extent 2011
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
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NSW Forest Extent 2022 (UTM Zones 55 & 56)
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The 2022 NSW Forest extent layer was created by the NSW DPIRD Forest Science team applying spatio-temporal analysis of the 2017-2022 National Forest and sparse woody vegetation data (Version 7.0 - 2022 Release) (Department of Climate Change, Energy, the Environment, and Water's). The data is available on data.gov.au. The dataset was further analysed and masked to exclude non-forest areas and create a forest extent layer with a 20 percent canopy cover for the NSW UTM Zones 55 & 56. The mask layer includes various datasets such as NSW Land use 2017, State Vegetation Type map (SVTM), Land Zoning, Water body, etc. The DPIRD Plantation unit's Authorised plantation layer (current as Aug 2024) was used to characterise forest types, i.e. Native forest and Plantation.
Vegetation Structure and Recruitment Data
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These data were collected as part of the NSW Grazing Study. An assessment of vegetation structure and recruitment conducted at each of the 451 sites using variable belt transects. To determine tree density all mature trees were enumerated within a 200m x 1-10m (variable width) belt transect. Mature trees were enumerated into four DBH classes (5-10cm, 10-20cm, 20-30cm, >30cm). Woody (tree and shrub) recruitment was enumerated within a 200m x 1-10m (variable width) belt transect into two classes (0.5m -1.3m and 1.3 - 3m).
National Forest and Sparse Woody Vegetation Data (Version 8.0 - 2023 Release)
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Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from 1988 to 2023. A forest is defined as woody vegetation with a minimum 20 per cent canopy cover, at least 2 metres high and a minimum area of 0.2 hectares. Note that this product is not filtered to the 0.2ha criteria for forest to allow for flexibility in different use cases. Filtering to remove areas less than 0.2ha is undertaken in downstream processing for the purposes of Australia's National Inventory Reports. Sparse woody is defined as woody vegetation with a canopy cover between 5-19 per cent. The three-class classification (forest, sparse woody and non-woody) supersedes the two-class classification (forest and non-forest) from 2016. The new classification is produced using the same approach in terms of time series processing (conditional probability networks) as the two-class method, to detect woody vegetation cover. The three-class algorithm better encompasses the different types of woody vegetation across the Australian landscape. Unlike previous versions of the National Forest and Sparse Woody Vegetation data releases where 35 tiles have been released as part of the product, only the 25 southern tiles have been supplied in this release. The 10 northern tiles will be released as a separate product release, expected later in the financial year, as these are subject to a methodological change associated with the adoption of the Sentinel sensor and will be supplied at a different resolution. Please see the National Forest and Sparse Woody Vegetation data metadata pdf (Version 8.0 - 2023 release) for more information.
NSW Forest Monitoring and Improvement Program State-wide Historic Forest Canopy Cover Extent - 1995 to 2020
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The spatial layers in this dataset detail forest cover extent over NSW. They have been created for the NSW Natural Resources Commission to detail historic baseline and trends of forest cover extent coverage for NSW for all land tenures, including all RFAs and IFOAs. These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2021). These base grids are Landsat in origin and have a resolution of 25m. These base grids have been processed through a series of land use and vegetation type exclusion masking and a through a fuzzy-logic based certainty analysis to reflect a forest cover extent coverage for NSW that is reflective of past and current coverage. These grids cover the years from 1995 to 2020. The year gaps are triennial or biennial data layers from 1995 to 2004. 1996,1997,1999,2001,2003 years missing as these were not assessed in original applied database. From 2004 to 2020 data layers become annualised. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset supersedes "NSW Forest Monitoring and Improvement Program RFA Historic Forest Cover Extent – 1995 to 2019". https://portal.tern.org.au/metadata/TERN/fef2d61b-7c5e-42be-88c1-849a3fc6a70a.
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