A NSW Native Vegetation Extent layer prepared for the National Land and Water Resources Audit 2008. This represents native vegetation extent at 2006. A number of other useful intermediate products are also available. Woody and non-woody vegetation extent covers all of NSW. Native and exotic subclasses cover almost all of NSW, except for Sydney and other small areas where landuse data are currently unavailable. Vegetation classifications are not finalised. Refinement of SLATS FPC and watermask data is continuing. The native/exotic subclasses may change as landuse information/interpretation is refined, and other potential data sources are examined.

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

Data represents NSW native vegetation extent, compiled from various vegetation maps using method outlined in (Keith and Simpson 2006). Data is also known as Keith and Simpson (2006) Version 002. Includes 4 layers i) woody native veg extent (natwdy_002), ii) non-woody native veg extent (rgrass002), and iii) secondary grassland extent (sgrass002). natwdy002 and rgrass002 are combined to create total NSW native veg extent (extveg_002). Data was developed for use in the July 2006 Biometric tool update, and specifically the update of the Over-Cleared Landscapes database, which underpins the NSW Property Vegetation Planning (PVP) process. Supersedes Keith (2004) and Pressey et al. (2000). Pressey et al. (2000) was the native veg extent product used to calculate native veg cover values for the Over-Cleared Landscapes Database prior to July 2006. (also see (Keith and Simpson,in press)

This vegetation map shows the extant distributions of vegetation formations and classes throughout NSW, and provides users with information about the resolution, currency and uncertainties in the underlying data that were used to assemble the map. Data represents NSW native vegetation extent, compiled from various vegetation maps using methods outlined in Simpson et al. (2011) and in Keith and Simpson (2010). The NSW vegetation map (version 2.2, Keith and Simpson 2006) was revised by interpreting additional candidate maps as vector layers and synthesising these into a single raster-based data set. This involved eight steps: developing a comprehensive ‘standard’ classification of vegetation classes for NSW; collating and standardising the projection and format of candidate source maps; assigning vegetation units of source maps to NSW vegetation classes; assessing the spatial resolution, currency and reliability of candidate source maps; assembling a composite map from candidate source maps to maximise reliability; applying a spatial mask to represent extant native vegetation; adjusting spatial resolution by dissolving small polygons and converting to 200 m raster; attributing the spatial resolution, currency and reliability of the underlying source data sets. The classification of 106 vegetation classes described by Keith (2004) was adopted as the framework for preparation of version 3.03 of the NSW vegetation map. Polygons from the “Estuarine macrophytes CCA” dataset of less than 0.1 ha were eliminated. For all other datasets polygons of less than 2 ha were eliminated. The map incorporates data from a statewide woody vegetation mask from the NSW Woody Vegetation Change Detection Program (Kitchen et al. 2010). The map is presented as a raster within an ESRI ArcGIS (9.3) geodatabase. Supersedes Keith and Simpson (2006), Keith (2004) and Pressey et al. (2000). Pressey et al. (2000) was the native veg extent product used to calculate native veg cover values for the Over-Cleared Landscapes Database prior to July 2006. References: Keith D. A. (2004) Ocean Shores to Desert Dunes: The native vegetation of New South Wales and the ACT. Department of Environment and Conservation, Sydney. Keith, D. A. and Simpson, C. C. (2010) Vegetation Formations of NSW (version 3.0): A seamless map for modelling fire spread and behaviour. Report to the Rural Fire Service. NSW Department of Environment and Climate Change. October 2010. Keith, D. A. and Simpson, C. C. (2006). A protocol for assessment and integration of vegetation maps, with an application to spatial data sets from south-eastern Australia. Austral Ecology 33, 761–774. Pressey, R.L., Hager, T.C., Ryan, K.M., Schwarz, J., Wall, S., Ferrier, S. and Creaser, P.M. (2000). Using abiotic data for conservation assessments over extensive regions: quantitative methods applied across New South Wales, Australia. Biological Conservation 96, 55-82

Various vegetation Extent and Nativeness products, that include: the delineation by woody and non-woody; and maps of the uncertainty associated with assignment of extent and nativeness. The primary product is a NSW Native Vegetation Extent layer prepared for the National Land and Water Resources Audit 2008. This represents native vegetation extent at 2006. A number of other useful intermediate products are also available. Full report is available from http://maps.environment.nsw.gov.au ; ; VEGETATION EXTENT was derived from interim Foliage Projected Cover (FPC) data (FPC 00,02,04,06) prepared by the DECC's Woody Vegetation Change Detection Program in early 2008. FPC is generated from Statewide Landcover And Trees Study (SLATS) methodology, developed in Queensland by Qld Dept of Natural Resources and recently applied in NSW. The SLATS program applies a series of algorithms on Landsat TM data to produce FPC values ranging from 0-100 percent. A threshold (or thresholds) are applied to the FPC data to separate woody from non-woody vegetation. NATIVENESS was derived from interim NSW Land-use Mapping data (Emery et. al), and then used to ascertain whether vegetation may be native or non-native.; ; CAVEAT:Vegetation extent and nativeness layers generated for this project are interim in nature and are subject to ongoing refinement. While these products represent the best available estimate of vegetation extent and nativeness at this time they will be improved overtime and hence are not suitable for accurate reporting of vegetation change

The vegetation of the Central Division of NSW was classified and mapped (Cobar-Nyngan-Gilgandra), Nymagee-Narromine-Dubbo 1:250 000 map sheets) as part of the NSW NPWS wheat-belt mapping series. The vegetation classification was derived using traditional API and quantitative analysis of data from 428 field sites. Analyses included heirarchical classification in PATN to define floristic groups, then Fidel and ANOSIM to elucidate the characteristic species of the groups and explore the consistency of these relationships and various levels of similarity. Maps and descriptions show the floristic composition and structure, the geographic distribution of assemblages, the current extent, and shape and degree of connectivity of vegetation and changes in native woody vegetation cover over time. VIS_ID 1606 ANZLIC: ANZNS0208000147

The vegetation of the Central Division of NSW was classified and mapped (Cobar-Nyngan-Gilgandra), Nymagee-Narromine-Dubbo 1:250 000 map sheets) as part of the NSW NPWS wheat-belt mapping series. The vegetation classification was derived using traditional API and quantitative analysis of data from 428 field sites. Analyses included heirarchical classification in PATN to define floristic groups, then Fidel and ANOSIM to elucidate the characteristic species of the groups and explore the consistency of these relationships and various levels of similarity. Maps and descriptions show the floristic composition and structure, the geographic distribution of assemblages, the current extent, and shape and degree of connectivity of vegetation and changes in native woody vegetation cover over time. (VIS_ID 1602; ANZLIC: ANZNS0208000147)

The vegetation of the Central Division of NSW was classified and mapped (Cobar-Nyngan-Gilgandra), Nymagee-Narromine-Dubbo 1:250 000 map sheets) as part of the NSW NPWS wheat-belt mapping series. The vegetation classification was derived using traditional API and quantitative analysis of data from 428 field sites. Analyses included heirarchical classification in PATN to define floristic groups, then Fidel and ANOSIM to elucidate the characteristic species of the groups and explore the consistency of these relationships and various levels of similarity. Maps and descriptions show the floristic composition and structure, the geographic distribution of assemblages, the current extent, and shape and degree of connectivity of vegetation and changes in native woody vegetation cover over time. (VIS_ID 1604; ANZNS0208000147)

The vegetation of the Central Division of NSW was classified and mapped (Cobar-Nyngan-Gilgandra), Nymagee-Narromine-Dubbo 1:250 000 map sheets) as part of the NSW NPWS wheat-belt mapping series. The vegetation classification was derived using traditional API and quantitative analysis of data from 428 field sites. Analyses included heirarchical classification in PATN to define floristic groups, then Fidel and ANOSIM to elucidate the characteristic species of the groups and explore the consistency of these relationships and various levels of similarity. Maps and descriptions show the floristic composition and structure, the geographic distribution of assemblages, the current extent, and shape and degree of connectivity of vegetation and changes in native woody vegetation cover over time.; ; VIS_ID 1610; ; ANZLIC: ANZNS0208000147

The purpose of this layer is to help discriminate native tree cover and woodlands from other terrain elements. The NSW Native Vegetation Extent 5m Raster v1.4 was developed under the State Vegetation Type Map program (SVTM) and presents a single surface raster that combines the best available information on native vegetation extent for NSW. The surface differentiates tree cover from candidate native grasslands, water, forestry plantations and a woodland matrix from non-native areas. The surface is built on the 2011 5m NSW Woody Vegetation Extent (Fisher et al., 2016), with updates up to 2018 (Fisher et al., 2017), with the addition of candidate native grasslands, woodlands and wetlands from the visual interpretation of high-resolution imagery (OEH, 2017). The NSW Native Vegetation Extent 5m Raster v1.4 is an integration of five existing datasets which map candidate native vegetation and water bodies for NSW. The sourcing rules from each dataset are documented in the metadata statement at the link below. All Koala Habitat Information Base (KHIB) datasets are available for download below under 'Dataset Relationship' For further information on the data layers and their development, please see the Koala Habitat Information Base Technical Guide.