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Forests NSW Mapped Heath. VIS ID 4057
Heath vegetation mapped by Forests NSW. Supplied September 2009. VIS_ID 4057
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Rainforest Vegetation, Forests NSW. VIS ID 4065
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Rainforest vegetation mapped by Forests NSW. Supplied September 2009. VIS_ID 4065
Eusdale Nature Reserve Vegetation Mapping. VIS ID 3982
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Initially part of Sunny Corner SF , Eusdale NR was mapped by NSW State Forests prior to ownership by NPWS. Additional gaps in the vegetation mapping have been filled by local NPWS staff using State Forest RN17 typing and local knowledge to create a new version in 2009. An addition to Eusdale " Stony Creek" was subsequently mapped by Raymond Mjadwesch in 2011. In mapping the addition Mjadwesch updated the typing to correlate the vegetation mapping across the entire reserve with Keith (2004) Classes. The Keith Classes were revised by NPWS staff in 2013 and additional attributes about the composition of the understorey included as field "SHRB_GRASS" to assist with fire planning. For further information on individual mapping see dataset history. VIS_ID 3982
North West Vegetation Mapping, Moree and Part Walgett Shire. VIS ID 4169
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Dataset has been generated in the National Heritage Trust Project "Vegetation Mapping North West Slopes and Plains" on behalf of the NorthWest Slopes and Plains Vegetation Committee (a sub group of the North West Catchment Committee). Attributes Mapped: 1. Land Cover / Land Use (11 classes : 64 sub classes) 2. Timber Regrowth (5 classes) 3. Tree and Shrub Canopy Density (12 classes) 4. Understory (9 classes) 5. North West Vegetation Associations. VIS_ID 4169
Field data for the Vegetation Mapping Inventory Project of Wrangell - St Elias National Park and Preserve - Open Format Data Package
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These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Wrangell - St Elias National Park and Preserve. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
Great Western Woodlands Leaf Area Index Data
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This data contains leaf area index calculated from Digital Cover Photography images taken at four 1-ha plots within the Great Western Woodlands site between 2013 - 2015
Vegetation Mapping - Walgett Shire (East), North West NSW VIS ID 804
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DLWC Existing Vegetation Map of Eastern Walgett RVC (Walgett Shire east of the Barwon River). ; Dataset has been generated in the National Heritage Trust Project, Vegetation Mapping, North West Slopes and Plains' on behalf of the North West Slopes and Plains Vegetation Committee (a sub group of the North West Catchment Management Committee). (VIS_ID 804; ANZLIC: ANZNS0359090013); ; Landuse/Landcover and Vegetation relationships assessed as uniform attributes, expressed as polygon data. ; Attributes Mapped include:; Land Cover/Land Use (11 classes: 53 sub classes); ; Timber Regrowth (5 classes); ; Timber and Shrub Canopy Density (12 classes); ; Understory (9 classes); Cultivation History (24 classes); ; North West Vegetation Associations.
Vegetation mapping for Winburndale Nature Reserve Mt Horrible Addition VIS ID 3986
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Survey and mapping was commissioned by NPWS Western Branch Macquarie Area, Bathurst office. Six floristic quadrats were sampled to further describe the vegetation communities. Walked transects and topographic maps were used to delineate vegetation boundaries. The author correlated map units to vegetation communities described in the original Winburndale NR vegetation report (ERM Mitchell McCotter 1996) and allocated them to NSW Vegetation Classes and Formations (Keith 2004) for fire management purposes. Hardcopy maps were digitsed in the Dubbo NPWS Western Branch office. Subsequent to the final report, NPWS staff have corrected correlation errors and re-assigned some map units to the NSW classification (Keith 2004). Mt Horrible (addition to Winburndale NR) mapping supplements existing mapping for Winburndale NR [Vegetation descriptions in: ERM Mitchell McCotter Pty. Ltd. (1996) Bathurst vegetation survey for NSW National Parks and Wildlife Service: Bathurst District covering Winburndale NR, Nangar NP, Conimbla NP and Weddin Mountains NP. NSW National Parks and Wildlife Service, Bathurst. Mapping undertaken by Roger Lembit under contract to NPWS Bathurst District office in 1997 due to inadequacies in ERM mapping.]
Byron LGA Vegetation 2007 VIS ID 6
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Byron Shire Council Vegetation mapped by Ecograph and Terrafocus Pty Ltd, June, 2007. VIS_ID 6
NSW Woody Vegetation Extent 2011
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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