Vegetation community mapping for Boonanghi Nature Reserve by Penny Kendall, 2002. A systematic full floristic vegetation survey was conducted and analysed using PATN software to determine vegetation associations. A Mid North Coast NPWS Region Contract. VIS_ID 138

Vegetation mapping for both Skillion Nature Reserve and Yarravel Nature Reserve by Penny and Keith Kendall in 2002. A Mid North Coast NPWS Region contract. VIS_ID 616

Maryland National Park vegetation mapping was undertaken by Dr John T. Hunter in 2006 by contract for the NPWS Northern Tableland Region. Maryland NP lies within NSW approximately 20km north east of Stanthorpe, Qld and comprises some 2,284 ha of lands. Parts of these reserved lands were once under the control and management of State Forests, while other more recent additions were free hold land used for grazing enterprises. The reserve lies along the NSW-Qld border and is half within the Northern Tablelands and half in the North Coast Botanical Divisions. The lands are incorporated entirely within the New England Tablelands Bioregion within the local government areas of the Parish of Marsh, County of Buller and Shire of Tenterfield. The vegetation of Maryland National Park is described and mapped (scale 1:25 000). Six communities are defined based on classification (Kulczynski association). These six communities were mapped based on ground truthing, air photo interpretation and landform. Almost all of the reserve is dominated by the Eucalyptus biturbinata, Eucalyptus campanulata and Lophostemon confertus. Much of the reserve has been disturbed in the past, particularly by Logging, clearing and grazing. The original mapping was recorded as VIS ID_457 and this version has the addition of PCT and fire veg classification fields. VIS_ID 4745

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. ECognition software was used to circumscribe visually homogeneous polygons. Multiresolution segmentation (Scale parameter: 25, Shape: 0.2, Compactness: 0.2) was applied to four bands of 1 meter (3.3 ft) National Agricultural Imagery Program (NAIP) imagery and normalized difference vegetation index (NDVI) derived from the imagery. We used eCongition to calculate eighty-one variables and attributed the variables to the polygons. These variables summarized attributes of the topographic relationships of the polygons, reflectance values derived from aerial photography, surficial geologic composition, and vegetation height.

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. Converting delineations to a digital format involved four main procedures: a) preparation of manuscript maps b) input of the spatial data: c) populating of the attribute tables, and d) conversion to GIS. Each step included many quality control steps. Maps were prepared by pin-registering a clean sheet of mylar to each photo and transferring delineations to the new overlay in ink. Each manuscript map was edgematched to the adjoining sheet. Each photo was numbered, and each polygon on the photo was numbered in sequence. An attribute table was created containing a field each for the photo number, polygon sequence number, land use code, layer number, stature type, height, density, and floristic composition attributes.

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. Converting delineations to a digital format involved four main procedures: a) preparation of manuscript maps b) input of the spatial data: c) populating of the attribute tables, and d) conversion to GIS. Each step included many quality control steps. Maps were prepared by pin-registering a clean sheet of mylar to each photo and transferring delineations to the new overlay in ink. Each manuscript map was edgematched to the adjoining sheet. Each photo was numbered, and each polygon on the photo was numbered in sequence. An attribute table was created containing a field each for the photo number, polygon sequence number, land use code, layer number, stature type, height, density, and floristic composition attributes.

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 TOP 2015 imagery was mosaiced and manipulated using image processing and segmentation techniques (e.g. unsupervised image classification, normalized difference vegetation index, etc.) to highlight any subtle vegetation signature differences. All of the preliminary results were evaluated for usefulness and the best examples were first converted to digital lines and polygons, were next combined with other relevant AMIS GIS layers (such as the roads network), and the results were used as the base layer for the new AMIS vegetation mapping effort. Building off the base layer, all relevant lines and polygons were exported as shapefiles and converted to ArcGIS coverages. The resulting coverages were run through a series of smoothing routines provided in the ArcGIS software. Following the smoothing, all digital line-work was manipulated to remove extraneous lines, eliminate small polygons, and merged polygons that split obvious stands of homogeneous vegetation. The cleaning stage was considered complete when all resulting polygons matched homogenous stands of vegetation apparent on the TOP 2015 imagery. At this point, the mapping shifted to manual techniques and all vegetation lines and polygons were visually inspected and manually moved, edited and/or updated as needed.

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. Base Imagery used for mapping (acquired by MoRAP) • 2010, Kleberg and Kenedy Counties, TX, leaf-on, CIR, 1m • Additional Imagery acquired and viewed by MoRAP: • Lidar—2008

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. Base Imagery used for mapping (acquired by MoRAP) • 2010, Kleberg and Kenedy Counties, TX, leaf-on, CIR, 1m • Additional Imagery acquired and viewed by MoRAP: • Lidar—2008

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. Forty-two polygons were mapped within the project boundary: 27 at the main unit and 15 at the Adamsville proposed expansion area. In total, 15 distinct types were identified across the study area. Seven of these types are Anderson Land Use Classes or variations thereof; the others are natural vegetation classes following the NVCS. Map classes were described at the alliance or association level; where known, alliance descriptions also include recognized associations. Due to the small area involved in this project, and to its relatively simple floristic attributes, there is a one-to-one correspondence between the map classes presented here and the community types described. A total of 35 species were recorded during the sampling efforts. Alliances and associations marked with (P) are proposed, not yet accepted into the NVC. In addition, summarized local descriptions, with example satellite image/signatures and representative photos for each alliance or association, follow this section.