Satellite imagery and field checking were used to map the vegetation of the Cobar Shire in central-west NSW. The vegetation communities have been grouped using broad canopy species associations. These associations have no other mapping purpose. Each vegetation community and other map unit used in the mapping project is described, with main structural form(s) of the community based on Specht (1970). A broad floristic description based on some limited point source sampling, field verification of the M305, personal observation by the author with input from Department of Land and Water Conservation, Far West Region field and technical staff. Analysis from the GIS data set listing main location and any 1:100,000 map sheet that the community may be located within. Also the bioregional statistics for the community are listed in a table. A broad assessment of the general condition or health of the community is based on the author’s personal judgement with input from DLWC, Far West Region field and technical staff. A broad description of the main soil types for the community is based on GIS analysis using landsystem mapping. VIS_ID 3332

This dataset represents fine-scale floristic vegetation mapping within the Coffs Harbour Local Government Area. Vegetation has been categorized into communities, classes and formations, with the composition of respective vegetation species identified. Mapping was conducted by vegetation mapping ‘experts’ (NSW Department of Environment and Heritage) between September 2009 and April 2012, and was based on 3-D PLANAR modelling, aerial photography interpretation, field floristic assessment, and PATN statistical analysis. A nominal scale of use of 1:5,000 is recommended for dataset display and interpretation, as linework digitising was based on ADS40 (50cm resolution) and minimum polygon size of 0.2 ha, and was captured at screen scale of between 1:1000 and 1:1500. The map is not to be used at a property level scale or for development applications where a scale of 1:1200 or greater may be required to determine the level variation of vegetation within a property. Furthermore, DAs still need to undergo the rigour of planning laws in NSW including local assessment of impacts on flora and fauna. Overall thematic accuracy is reported at 66% (independent assessment), with OEH reviewed overall accuracy being 77% weighted by total area of each vegetation class. The dataset is to be considered a standalone layer. VIS_ID 4189

Vegetation survey and mapping of Couradda National Park in 2008, commissioned by NPWS Narrabri Region. Five communities were determined based on floristic analysis of 20 x 20 m survey sites, and described using dominant species and structural characteristics. Vegetation communities were mapped using ground truthing, position in landscape and stereo interpretation of aerial photos captured at 1:50,000. Lineage and attribution accuracy are unknown. VIS_ID 3990

This map was constructed using pre-existing line work from the Regional Fire Management Strategy and was then reattributed with VIS Classification plant community types (PCTs) to product a draft PCT map. Field survey has been undertaken to ground-truth this map. Existing mapping were assessed for accuracy and aligned with the existing state-wide vegetation community classification. Past vegetation surveys and existing floristic site data were supplemented by strategic data collection where necessary, to adequately describe the floristic and structural diversity of vegetation within the reserve. Project outputs may be used in park planning, operations and environmental assessments. It will provide a basis for managing threatened species, preparation of weed control strategies, management and rehabilitation plans, as well as developing appropriate fire management strategies for the protection of life and property on and surrounding the target reserve. VIS_ID 4476

Extant natural vegetation is mapped to local scale plant community level in the Cobbadah, Manilla and Tamworth 1 : 100 000 mapsheets. The mapsheets fall within the Namoi and Border Rivers/Gwydir Catchment Management Areas. Extant (or existing) vegetation includes, unlike potential vegetation, derived grassland communities and human impact of urbanisation and cropping.; ; The mapping methodology involved: (i) using full floristic data to derive a plant community classification, (ii) deriving numerous environmental spatial layers, (iii) combining floristics and environmental layers in a statistical model i.e. generalized dissimilarity model (GDM), (iv) constraining model results with aerial photograph interpretation (API) linework and a constraints matrix, and (v) combining individual community probability layers into one natural vegetation map based on the highest probability per grid cell. Mapping was conducted at a 25m grid cell resolution.

Vegetation community mapping for the Cooinda portion of Warrabah National Park, 2015. A Northern Tablelands NPWS Region contract. Mapped at 1:25000 scale.

Native vegetation is described and mapped for the Cobbora, Coolah, Coonabarabran, Mendooran and Tambar Springs 1: 100 000 map sheets. Vegetation patterns were recognised and delineated spatially using air photo interpretation (1:50,000 scale). Satellite imagery was used to geo-reference the API. A consistent provisional vegetation code was assigned to each unique vegetation pattern. Comprehensive floristic data was collected for 547 plots using a random stratified sampling procedure. A proportional sampling regime was applied to the stratification and plots randomly located within stratification units independent of land tenure. An additional mask layer was applied to distinguish between 'woody' and 'non-woody' vegetation to target survey effort toward wooded communities. Plot data was classified into 44 woody floristic groups using PATN. Additional analysis techniques included fidelity, homogeneity, nearest neighbour and indicator species analysis. Floristic groups are defined using structural dominance, diagnostic/indicator species and character species data. The provisional vegetation pattern codes from aerial photo interpretation were interrogated with respect to floristic groups to produce the map units. A generalised, additive model was used to investigate patterns in ironbark/redgum/pine assemblages in the south of the study area, where direct relationships between spatial and floristic data were unclear. A total of 24 woody map units were developed to represent woody assemblages and three map units spatially depict non-woody areas, non-native areas and regenerating vegetation (at time of mapping). These map units are described with respect to structure, floristic composition and landform unit on the accompanying five maps. Mapping of the non-woody environment was limited to recognising 'candidate' native non-woody vegetation. (VIS_ID 2102)

A classification of native vegetation assemblages of that part of the Cooma-Monaro Shire falling within the South Eastern Highlands bioregion, with the exception of the Shannons Flat/Yaouk region. VIS_ID 4064

Vegetation survey and mapping of Courallie Aboriginal Area in 2008, commissioned by NPWS Narrabri Region. Six communities were determined based on floristic analysis of 20 x 20 m survey sites, and described using dominant species and structural characteristics. Vegetation communities were mapped using ground truthing, position in landscape and stereo interpretation of aerial photos captured at 1:50,000. Lineage and attribution accuracy are unknown. VIS_ID 4001

Native vegetation is described and mapped for the Cobbora, Coolah, Coonabarabran, Mendooran and Tambar Springs 1: 100 000 map sheets. Vegetation patterns were recognised and delineated spatially using air photo interpretation (1:50,000 scale). Satellite imagery was used to geo-reference the API. A consistent provisional vegetation code was assigned to each unique vegetation pattern. Comprehensive floristic data was collected for 547 plots using a random stratified sampling procedure. A proportional sampling regime was applied to the stratification and plots randomly located within stratification units independent of land tenure. An additional mask layer was applied to distinguish between 'woody' and 'non-woody' vegetation to target survey effort toward wooded communities. ; ; Plot data was classified into 44 woody floristic groups using PATN. Additional analysis techniques included fidelity, homogeneity, nearest neighbour and indicator species analysis. Floristic groups are defined using structural dominance, diagnostic/indicator species and character species data. The provisional vegetation pattern codes from aerial photo interpretation were interrogated with respect to floristic groups to produce the map units. A generalised, additive model was used to investigate patterns in ironbark/redgum/pine assemblages in the south of the study area, where direct relationships between spatial and floristic data were unclear. ; ; A total of 24 woody map units were developed to represent woody assemblages and three map units spatially depict non-woody areas, non-native areas and regenerating vegetation (at time of mapping). These map units are described with respect to structure, floristic composition and landform unit on the accompanying five maps. Mapping of the non-woody environment was limited to recognising 'candidate' native non-woody vegetation. (VIS_ID 2099)