A vegetation map was produced for the Northern Rivers Catchment Management Authority (NRCMA) by integrating two products undertaken for the northern Comprehensive Regional Assessment (CRA), namely the forest ecosystem model and API coverage. The work was undertaken by Eco Logical Australia Pty Ltd in 2005. The new product represents a substantial improvement over the original forest ecosystem model as it provides nomenclatural consistency between forest ecosystem types and API polygon labels, includes remnant vegetation not originally captured by the CRAFTI API project, improves the spatial rigour of forest ecosystem distribution, and introduces a number of new ecosystems based on fine scale API and expert advice. The map incorporates 167 ecosystems covering a combined area of 3,332,900 ha, about 67% of the NRCMA region. It includes dry and moisttableland types, rainforest and wet escarpment brushbox and eucalypt forests, dry foothills eucalypt forest, rugged gorges woodlands, and non-eucalypt coastal types. The map includes a table which lists areal estimates for each ecosystem, including area outside the NRCMA region and pre-1750 area.; Albeit an improved product, the final map was assembled from two existing layers which have major limitations on private land, including an unsuitable vegetation; classification and a broad and often unreliable API layer. It is thus recommended that the product be used only in the interim by the NRCMA to support identification; and prioritisation of high conservation value vegetation, and that any attempt to reconcile the map with local landscapes be done with due caution.; ; The original NRCMA Veg layer is in grid format but was converted to polygons. See data history section.; ; Data custodian - Northern Rivers CMA; VIS_ID 524

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.

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. A final vegetation map for TIMU was created to represent the vegetation occurring within the park during 2012. This product represents the final of four steps necessary to produce an accurate vegetation map based upon aerial photographs. This includes the determination of the community element global (CEGL) codes (2008) and acquisition of aerial imagery (2012), using the aerial imagery, with 162 ground truthing points (2014, 2015), to create a draft vegetation map, performing an accuracy assessment (2016), and then using all the available information to create a final vegetation map (2018).

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 NIOB vegetation map consists of 2,762 polygons totaling 29,081 acres (11,768 ha). Mean polygon size for vegetated types is 8.2 acres (3.32 ha). Of the total area, 20,878 acres (8,449 ha) or 72% represent natural or ruderal vegetation map classes. Agricultural vegetation, such as cultivated crops and pasture, account for approximately 3,267 acres (1,322 ha) or 11% of the total mapped area. Non-vegetated barren land is rare and only accounts for 520 acres (210 ha) or 1.8%. Open water is the most widespread land cover class with an area of approximately 4,415 acres (1,786 ha) or 15% of the total mapped area. Within the total area occupied by vegetation map classes, forest and woodland types were the most extensive (12,278 acres (4,969 ha) or 42%), followed by herbaceous types (7,021 acres (2,841 ha) or 24%), shrubland types (1,134 acres (532 ha) or 4.5%), and sparse types (265 acres (107 ha) or 0.9%).

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 NIOB vegetation map consists of 2,762 polygons totaling 29,081 acres (11,768 ha). Mean polygon size for vegetated types is 8.2 acres (3.32 ha). Of the total area, 20,878 acres (8,449 ha) or 72% represent natural or ruderal vegetation map classes. Agricultural vegetation, such as cultivated crops and pasture, account for approximately 3,267 acres (1,322 ha) or 11% of the total mapped area. Non-vegetated barren land is rare and only accounts for 520 acres (210 ha) or 1.8%. Open water is the most widespread land cover class with an area of approximately 4,415 acres (1,786 ha) or 15% of the total mapped area. Within the total area occupied by vegetation map classes, forest and woodland types were the most extensive (12,278 acres (4,969 ha) or 42%), followed by herbaceous types (7,021 acres (2,841 ha) or 24%), shrubland types (1,134 acres (532 ha) or 4.5%), and sparse types (265 acres (107 ha) or 0.9%).

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

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 APMM provides polygonal data with floristic attributes along with categorical data for cover by vegetation type. The photographic interpretation was based on 1:15,840-scale true-color aerial photography (prints and transparencies) acquired in July and August 2004. The interpreted overlays were orthorectified along with the scanned aerial photography and vectorized using Arc/Info™ (ESRI, Inc.) software. The DCMM produces a raster database from which multiple vector products can be derived to depict the floristics (using any vegetation classification with defined thresholds) and quantitative metrics with estimates of statistical confidence for cover by species and class, quadratic mean diameter of tree stems and crowns by species, trees per acre, fine and coarse woody debris, and other metrics. Two Landsat 5 Thematic Mapper scenes acquired in July and September 2005 were processed with Intergraph® software utilizing all bands except the thermal band. . The APMM mapped 27 Generalized Alliances and seven non-vegetated classes with an overall proportion correct of 72% (based on the most liberal of three accuracy thresholds). The DCMM mapped 29 Generalized Alliances and three non-vegetated classes with on overall proportion correct of 86% (based on the most liberal of three accuracy thresholds).

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 vegetation map for Pecos National Historical Park was developed using a combined strategy of automated digital-image classification and direct analog-image interpretation of aerial photography and satellite imagery. Initially, the aerial photography and satellite imagery were processed and entered into a GIS along with ancillary spatial layers. A working legend of ecologically based vegetation map units was developed using the vegetation classification described in Chapter 2 as the foundation. The intent was to develop map units that targeted the plant-association level wherever possible within the constraints of image quality, information content, and resolution. With the provisional legend and ground-control points provided by the field-plot data (the same data used to develop the vegetation classification), a series of automated image segmentation and supervised image classifications were conducted, followed by fine-scale map refinement using direct image interpretation and manual editing. The outcome was a vegetation map composed of a suite of map units defined by plant associations and represented by sets of mapped polygons with similar spectral and physical characteristics

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 vegetation map for Pecos National Historical Park was developed using a combined strategy of automated digital-image classification and direct analog-image interpretation of aerial photography and satellite imagery. Initially, the aerial photography and satellite imagery were processed and entered into a GIS along with ancillary spatial layers. A working legend of ecologically based vegetation map units was developed using the vegetation classification described in Chapter 2 as the foundation. The intent was to develop map units that targeted the plant-association level wherever possible within the constraints of image quality, information content, and resolution. With the provisional legend and ground-control points provided by the field-plot data (the same data used to develop the vegetation classification), a series of automated image segmentation and supervised image classifications were conducted, followed by fine-scale map refinement using direct image interpretation and manual editing. The outcome was a vegetation map composed of a suite of map units defined by plant associations and represented by sets of mapped polygons with similar spectral and physical characteristics