This vegetation map for the Border Rivers-Gwydir Catchment Management Authority (CMA) area, Northern NSW, was upgraded in 2009 by EcoLogical Aust. This included adding new spatial data targeting unmapped ‘gaps’, by removing areas of non-woody vegetation previously mapped as woody, and by further refining the regional vegetation community (RVC) classification. The labelling of ‘undetermined’ types is made more consistent, and a final spatial verification of the distribution of each RVC is undertaken. Integration of the four new layers adds about 115,000 ha of ‘woody’ RVCs and 200,000 ha of either non-woody RVCs or non-vegetation to the vegetation map, while elimination of ‘non-woody’ areas of woody RVCs converts some 145,000 ha to either non-woody vegetation RVCs or non-vegetation. The net result of the review is a reduction in the extent of mapped woody RVCs by about 30,000 ha, an increase in mapped non-woody RVCs by 80,000 ha, and an increase in mapped non-vegetation (mainly cropping) by about 120,000 ha. The consistency of labelling of undetermined types in the layer is improved by replacing previous labels –'undetermined veg’, ‘undetermined non-veg’ and ‘undetermined’ with more definitive categories – ‘undetermined woody veg’, ‘undetermined non-woody veg’ and ‘undetermined non veg’. A total of about 1,053,000 ha of the map incurred a change of RVC as a result of RVC review, mainly as a result of review of grassland mapping, specifically RVCs 26 – 28, and grassy box types, including RVC 19 (White Cypress Pine - Silver-leaved Ironbark grassy woodland, Nandewar) and RVC 44 (White Box - pine - Silver-leaved Ironbark shrubby open forests, Brigalow Belt South and Nandewar). While data gaps remain in the vegetation layer, particularly in the north-east of the catchment, their extent has diminished as a result of integration of new data, so that the overall mapped coverage of RVCs has increased in the BRG, and the spatial distribution of mapped RVCs has also improved. This provides more certainty in spatial outputs arising from interrogation of spatial vegetation data, for example ‘high conservation value’ surfaces. However, the inherent problem of quality of baseline composite API data upon which the RVC surface is based continues to be recognised, and opportunities to continue to improve the vegetation map through further gap filling and field verification should be taken. Note this dataset supersedes the BRG component of the existing vegetation dataset called "Namoi and Border Rivers Gwydir Catchments composite vegetation map (2008) - VIS_ID 3842" dataset. Eco Logical Australia (2009). Upgrade of Vegetation Mapping in the Border Rivers-Gwydir Catchment. A Product for the High Conservation Value Project. EcoLogical Australia 11/10/2009 Project# 09COFGIS-0002

Two spatial products generated for the Comprehensive Regional Assessment (CRA), namely floristic linework captured by aerial photographic interpretation (API), and a; forest ecosystem model, were integrated to provide an improved spatial map of forest ecosystem distribution on the Mid North Coast of NSW. The process involved intuitive assignment of dominant forest ecosystems to polygons captured by the API, and involved a number of iterative steps. The resultant layer is both polygon and grid cell based, and provides an interim spatial product upon which Government agencies will be able to identify high conservation value native vegetation across the Mid North Coast of NSW with reasonable reliability.; The original forest ecosystem classification included some 230 ecosystems, occurring from the Queensland Border to the Lower Hunter Valley. Of these, 124 were eliminated, either because they were not considered to occur in the Mid North; Coast, or they were replaced by new or existing ecosystems. A total of 40 ecosystems were introduced, including splits of existing ecosystems (eg. rainforest) or new ecosystems imported from more recent classifications. The final number of ecosystems mapped within the Mid North Coast for this project was 140. Derivation of current and former extent of each ecosystem was undertaken to provide an index of conservation status in the form of a %-cleared estimate. In; summary, 39 ecosystems possessed a %-cleared value of at least 50%, while 46 ecosystems were less than 20% cleared. Several of those with a high clearing rate are equivalent to endangered ecological communities listed under the Threatened Species Act 1995. In the longer term, an improved classification will be required to replace forest ecosystems, which is overly broad on coastal and private land given the influence of commercial forest types on the classification. Additional targeted API will also be; required in future, as the reliability of API undertaken for the CRA is questionable in many areas. Provision of an improved API coverage and a more appropriate classification will enable production of a new generation of vegetation mapping products for north-east NSW, providing the future basis for property vegetation planning, benchmarking, bio-certification and bio-banking.; VIS_ID 3886

An extant vegetation map was developed for the Namoi Catchment Management Authority (Namoi CMA) in 2009 by integrating all existing spatial datasets, undertaking some targeted mapping in identified gaps, and applying a standard regional vegetation community (RVC) classification (ELA 2009a). A pre-European vegetation map was also assembled in 2009 by extrapolating RVCs into the modified landscape using landscape association information and remnant tree point data (ELA 2009b). VIS_ID 4029

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The final MNRR vegetation map consists of 3,590 polygons totaling 69,011 ac (27,928 ha). Mean polygon size is 12.1 ac (4.90 ha). Of the total area, 37,789 ac (15,293 ha) or 55% represent natural or ruderal vegetation map classes. Agricultural vegetation such as cultivated crops and pasture account for approximately 6,238 ac (2,524 ha) or 9% of the total mapped area. Non-vegetated barren land was rare, only accounting for 45 ac (18 ha) or 0.1%. Developed areas such as open mowed fields, parking lots, buildings, and others account for approximately 1,562 ac (632 ha) or 2%. Open water is the most widespread land cover class, with an area of approximately 23,422 ac (9,479 ha) or 34% of the total mapped area. Within the total area occupied by vegetation map classes, forest and woodland types were the most extensive (17,007 ac (6,882 ha) or 46%), followed by herbaceous types (11,457 ac (4,636 ha) or 31%), sparse types (6,287 ac (2,544 ha) or 16%), and shrubland types (3,038 ac (1,229 ha) or 7%).

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The final MNRR vegetation map consists of 3,590 polygons totaling 69,011 ac (27,928 ha). Mean polygon size is 12.1 ac (4.90 ha). Of the total area, 37,789 ac (15,293 ha) or 55% represent natural or ruderal vegetation map classes. Agricultural vegetation such as cultivated crops and pasture account for approximately 6,238 ac (2,524 ha) or 9% of the total mapped area. Non-vegetated barren land was rare, only accounting for 45 ac (18 ha) or 0.1%. Developed areas such as open mowed fields, parking lots, buildings, and others account for approximately 1,562 ac (632 ha) or 2%. Open water is the most widespread land cover class, with an area of approximately 23,422 ac (9,479 ha) or 34% of the total mapped area. Within the total area occupied by vegetation map classes, forest and woodland types were the most extensive (17,007 ac (6,882 ha) or 46%), followed by herbaceous types (11,457 ac (4,636 ha) or 31%), sparse types (6,287 ac (2,544 ha) or 16%), and shrubland types (3,038 ac (1,229 ha) or 7%).

Rainforest Polygons, Lines and Points collated during and after the Comprehensive Regional Assessment process. ; ; Rainforest Polygons were extracted from the Successional Stages layer which was a product of the CRAFTI 2000 project; that updated CRA layers used in the RFA negotiations for UNE and LNE. Both Floristics & Structure have been updated as part of the CRAFTI 2000 project and hence feed into creating successional stage data. The data represents the most up to date layers for Successional Stages (ie. Old Growth, Rainforest etc) as of April 2002.; ; Rainforest Lines contain narrow patches of rainforest that were less than fifty metres wide and more than two hundred metres long which were captured into a line location dataset.; ; Rainforest Points contains areas of rainforest less than two hectares which were captured as a point with an alphabet code string delineating rainforest or dry rainforest.; ; To display the most up to date and comprehensive rainforest you must display all three files.; ; NB. Because CRAFTI includes other veg mapping, where other mapping was already completed, (eg. RN17 Forest Type mapping, NRAC veg mapping) the rainforest layer is also a combination of that mapping. VIS ID 3887

Environmental Impact Statement: Forest ecosystem classification and mapping for the Eden Comprehensive Regional Assessment : a report undertaken for the NSW CRA/RFA Steering Committee : project number NA 18EH

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The draft formation-level map was produced through limited field reconnaissance and visual interpretation of the pan-sharpened imagery and heads-up digitizing in ArcGIS to delineate polygons based on vegetation physiognomy. Spatial accuracy was assessed against 2006 digital orthophoto quarter quadrangle imagery, using 20 test points for each of the park’s three units. The maximum absolute error measured was less than 2 m ground distance, and maximum root mean square error was 1.03 m, well within the limits of the National Map Accuracy Standards.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The draft formation-level map was produced through limited field reconnaissance and visual interpretation of the pan-sharpened imagery and heads-up digitizing in ArcGIS to delineate polygons based on vegetation physiognomy. Spatial accuracy was assessed against 2006 digital orthophoto quarter quadrangle imagery, using 20 test points for each of the park’s three units. The maximum absolute error measured was less than 2 m ground distance, and maximum root mean square error was 1.03 m, well within the limits of the National Map Accuracy Standards.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. The primary imagery used for the base map for the project was 2016 60 cm National Aerial Imagery Program (NAIP) imagery. Additional imagery supporting the interpretation phase included current and historic true-color Google Earth and Bing Maps imagery, as well as 2015 4-band 30 cm imagery from Cornerstone Mapping Inc., and imagery from Digital Globe, Inc.