This Pre-Clearing map represents the pre-clearing extent of the State Vegetation Type Map (SVTM). Both SVTM and SVTM (Pre-Clearing) map each Plant Community Type, Vegetation Class and Vegetation Formation at a regional scale across all tenures in NSW. Pre-clearing PCT mapping is available for both eastern NSW and Far Western NSW. Coverage of Central NSW is a work in progress.

Pre-clearing extent of PCTs was developed using a combination of aerial photographic interpretation, environmental layers and historical documents. This map is updated periodically as part of the Integrated BioNet Vegetation Data program to improve quality and alignment to the NSW vegetation classification hierarchy.

Further information and technical documents about the SVTM is available from the State Vegetation Type Mapping Program Page

Current Release C2.0.M2.1 (November2024)

This release includes revisions, using the most recent NSW PCT Classification Masterlist (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.0 release.

Detailed technical information is available here.

Data Access

Map data may be downloaded, viewed within the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications.

The Trees Near Me NSW app provides quick access to view the map using a mobile device or desktop. Download the app from Google Play or the App Store, or access the web site at https://treesnearme.app.

Map Data Type

The map is supplied as ESRI Feature Class (Quickview) and 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. If you prefer to use the download package, we supply an ArcGIS v10.6 mxd and/or a layer file for suggested symbology. The raster attributes contain PCT, Vegetation Class and Vegetation Formation.

Feedback and Support

We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer or the Feedback function in Trees Near Me NSW.

For further support, contact the BioNet Team at bionet@environment.nsw.gov.au.

Useful Related Data

NSW State Vegetation Type Map: regional scale map of extant NSW Plant Community Types, Vegetation classes and Vegetation Formations.

NSW BioNet Flora Survey Plots – PCT Reference Sites: full floristic plots used in the development of the quantitative Plant Community Type (PCT) classification. Currently available for eastern NSW PCTs version C2.0.

NSW State Vegetation Type Map - technical notes

Eastern NSW - percentage cleared technical notes.

The SVTM Modelling Grid Collection refers to a suite of around 80 environmental layers that are used for species distribution modelling (SDM). Environmental layers comprise climate, terrain and soil variables for the state of NSW. Layers are used as covariates for the modelling of plant community types within NSW.

Climate variables, such as annual temperature, precipitation, solar radiation and others are generated by ANUCLIM (Version 6.1 MTHCLIM module), and the Bureau of Meteorology, Gridded climate data (http://www.bom.gov.au/climate/averages/climatology/gridded-data-info/gridded-climate-data.shtml). ANUCLIM input includes a digital elevation model - the elevation model used for these climate surfaces was the 1 second smoothed DEMS from the Shuttle Radar Topographic Mission (SRTM DEM-S see Gallant et al. 2011). The same DEM was used to create topographic variables, such as slope, aspect, roughness and topographic position index. Soil variables, such as clay, sand, silt content, organic carbon, pH, total nitrogen, and others are products of the Soil and Landscape Grid of Australia's, Australia-wide Soil Attribute Maps (https://www.clw.csiro.au/aclep/soilandlandscapegrid/ProductDetails-SoilAttributes.html). Soil attributes are modelled from measured soil attribute data from existing databases in the national soil site data collation and environmental parameters.

All grids have a common projection, grid cell resolution and snapped to the same spatial extent. The grid cell resolution is 1 second or approximately 30m.

NOTE: This asset does not refer to a distinct layer, rather a collection of related environmental datasets used for vegetation modelling as part of the State Vegetation Type Map Modelling Grid Collection. This list of environmental datasets is attached as a resource. Further information can be found at https://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm.

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.

Please note, Central Tablelands Region Version 1.0. VIS_ID 4778 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.

Version 1.0 supersedes the pre-production version (v0.1).

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps: PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program. PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone. PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location. PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products. vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map. vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map. The primary thematic layer in this dataset is a map of regional scale Plant Community Type (PCT).

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

Note that this vector quickview is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework .

The quickview maps are downloadable (see download package). The full datasets are available as 1:100,000 map tiles, by request from the Data.Broker@environment.nsw.gov.au.

The following fields are also provided in the full vector line work per 100k sheet: vegStruct - Vegetation Structural Class as derived from manual aerial photo interpretation: Note that this surface is independent of PCT and may disagree with PCTID. This is produced entirely by manual aerial photo interpretation of 50cm ADS40 imagery. Possible values are: vegStruct Structural Class 0 Non Native 1 Candidate Grasslands 2 Dry Sclerophyll 3 Wet Sclerophyll 5 Floodplain Forest 7 Non Woody Wetlands 8 Grass Open Woodlands 10 Rainforests 11 Riparian Forests 12 Acacia Woodlands 13 Shrublands 15 Mallee 16 Rocky Outcrops 17 Belah

Note that this vegStruct surface also contains a number of manually attributed PCT’s where possible. These PCT’s have some spatial representation within this field: 185,186,217,267,268,276,292,317,325,327,329,338,339,351,358,420,476,677,796 ,800,840,951,963,1094, 1101,1177,1197,1386,1611,1663,1691,1711,1855,1856,18 59,1862,1873,1879,1882,1884,1885,1887,1889,1890,1892,1894,1896,1899,1900, 1902,1905,1907,1908,1910 (See PCT Look-up-table in the download package for PCT common names).

PCTallocationConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’. PCTSiteValidation – Lists the site survey and site number as a concatenation. This corresponds to the point site layer listed under ‘Accompanying datasets.

Quickview Catchment Wide Dissolves For rapid visual reference, a 5m rapid-view raster is included in the geodatabase: CentralTablelands_v1_0_PCT_5m_E_4805 Fields: PCTcode, PCTName, vegetationFormation, vegetationClass

VIS_ID 4778

The BioNet Vegetation Map Data Collection is a catalogue of all available NSW vegetation type maps including Standardised products from the State vegetation Type Mapping Program, and non-standardised historic and contemporary maps. Each map stored in the catalogue is assigned a unique VIS (Vegetation Information System) identification number. This map catalogue contains: \r \r 1. geographical information system (GIS) data; \r 2. metadata, including technical reports; \r 3. images of cartographic map products; and \r 4. web map services, where available. \r \r For more information see http://www.environment.nsw.gov.au/research/VISmap.htm. There are over 680 native vegetation type maps available.\r \r All vegetation maps in this collection are available as individual data records in the SEED environmental data portal. For GIS data downloads for these individual vegetation maps go to the individual record in SEED. A combined map footprint layer can be downloaded here as a resource from this metadata record to assist GIS users in selecting maps. This footprint layer will eventually be removed once all individual vegetation maps in SEED have individual web map services created allowing them to be viewed in the SEED map viewer.\r \r The data collection includes State Vegetation Type Maps produced by the State Vegetation Type Mapping Program. For more detail on the Program see http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm . You can search for maps produced under this Program by entering the search term "SVTM" in to the SEED search window.

The Prince of Wales Existing Vegetation mapping project encompasses over 4.2 million acres of Southeastern Alaska—2.3 million of which are terrestrial. This map was designed to be consistent with the standards established in the Existing Vegetation Classification and Technical Guide (Nelson et al. 2015), and to provide baseline information to support project planning and inform land management of the Prince of Wales and surrounding islands. The final map comprises seven distinct, integrated feature layers: 1) vegetation type; 2) tree canopy cover; 3) trees per acre (TPA) for trees ≥ 1’ tall; 4) trees per acre for trees ≥ 6” diameter at breast height (dbh); 5) quadratic mean diameter (QMD) for trees ≥ 2” dbh; 6) quadratic mean diameter for trees ≥ 9” dbh; and 7) thematic tree size. The dominance type map consists of 18 classes, including 15 vegetation classes and 3 other land cover types. Continuous tree canopy cover, TPA, QMD, and thematic tree size was developed for areas classified as forest on the final vegetation type map layer. Geospatial data, including remotely sensed imagery, topographic data, and climate information, were assembled to classify vegetation and produce the maps. A semi-automated image segmentation process was used to develop the modeling units (mapping polygons), which delineate homogeneous areas of land cover. Field plots containing thematic vegetation type and tree size information were used as reference for random forest prediction models. Important model drivers included 30 cm orthoimagery collected during the height of the 2019 growing season, in addition to Sentinel 2 and Landsat 8 satellite imagery, for vegetation type prediction. Additionally, detailed tree inventory data were collected at precise field locations to develop forest metrics for Quality Level 1 (QL1) Light Detection and Ranging (LiDAR) data. LiDAR information was acquired across approximately 80% of the project’s land area. Continuous tree canopy cover and 2^nd order forest metrics (TPA and QMD) were modeled across the LiDAR coverage area, and subsequently, extrapolated to the full project extent using Interferometric Synthetic Aperture Radar (IfSAR) as the primary topographic data source.

Note that this dataset is a pre-production version for a three month review period from date of release. Feedback is requested and will be ingested for a release v1.0 in 2018

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps: PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program. PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone. PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location. PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products. vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map. vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map. The primary thematic layer in this dataset is a map of regional scale Plant Community Type (PCT). Note that this dataset is a pre-production version for a three month review period from date of release. Feedback is requested and will be ingested for a release v1.0 in 2018.

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

Note that this vector quickview is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework .

The quickview maps are downloadable (see download package). The full datasets are available as 1:100,000 map tiles, by request from the Data.Broker@environment.nsw.gov.au.

The following fields are also provided in the full vector line work per 100k sheet: vegStruct - Vegetation Structural Class as derived from manual aerial photo interpretation: Note that this surface is independent of PCT and may disagree with PCTID. This is produced entirely by manual aerial photo interpretation of 50cm ADS40 imagery. Possible values are: vegStruct Structural Class 0 Non Native 1 Candidate Grasslands 2 Dry Sclerophyll 3 Wet Sclerophyll 5 Floodplain Forest 7 Non Woody Wetlands 8 Grass Open Woodlands 10 Rainforests 11 Riparian Forests 12 Acacia Woodlands 13 Shrublands 15 Mallee 16 Rocky Outcrops 17 Belah

Note that this vegStruct surface also contains a number of manually attributed PCT’s where possible. These PCT’s have some spatial representation within this field: 185,186,217,267,268,276,292,317,325,327,329,338,339,351,358,420,476,677,796 ,800,840,951,963,1094, 1101,1177,1197,1386,1611,1663,1691,1711,1855,1856,18 59,1862,1873,1879,1882,1884,1885,1887,1889,1890,1892,1894,1896,1899,1900, 1902,1905,1907,1908,1910 (See PCT Look-up-table in the download package for PCT common names).

PCTallocationConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’. PCTSiteValidation – Lists the site survey and site number as a concatenation. This corresponds to the point site layer listed under ‘Accompanying datasets.

Quickview Catchment Wide Dissolves For rapid visual reference, a 5m rapid-view raster is included in the geodatabase: CentralTablelands_v0_1_PCT_5m_E_4805 Fields: PCTcode, PCTName, vegetationFormation, vegetationClass

VIS_ID 4778

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.

Please note, Western Region v1.0. VIS_ID 4492 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area. The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm) is constructed from the best available imagery, site survey records, and environmental information.

The primary thematic layer in this dataset is a regional scale map of Plant Community Type (PCT) - "quickview" map. This Version 1.0 release is comprehensive revision of the interim version 0.1 released in 2016.

A summary of the revisions are listed below:

• An established one-to-one relationship between PCT and Vegetation Photo Pattern (vegStruct)

• Integration of existing mapping, including:

  • VIS_ID 4186 - Survey and mapping of Darling floodplain vegetation communities in 2014
  • Balonne mapping 2016 (VIS_ID 4453)
  • Darling mapping 2016 (VIS_ID 4454

• Manual revision of Vegetation Photo Pattern (VPP’s, vegStruct) with Aerial Photo Interpretation of time series enhanced time-series 2.5m SPOT 5 imagery

• Reprojection of PCT models across updated VPP’s.

• Manual revisions of individual PCT’s with Aerial Photo Interpretation of time series enhanced time-series 2.5m SPOT 5 imagery

• Addition of the following PCT’s:

  • 5: River Red Gum herbaceous-grassy very tall open forest wetland on inner floodplains in the lower slopes sub-region of the NSW South Western Slopes Bioregion and the eastern Riverina Bioregion
  • 8: River Red Gum - Warrego Grass - Couch Grass riparian tall woodland wetland of the semi-arid (warm) climate zone (Riverina Bioregion and Murray Darling Depression Bioregion)
  • 21: Slender Cypress Pine - Sugarwood - Western Rosewood open woodland on sandy rises mainly in the Riverina Bioregion and Murray Darling Depression Bioregion
  • 44: Forb-rich Speargrass - Windmill Grass - White Top grassland of the Riverina Bioregion
  • 82: Western Grey Box - Poplar Box - White Cypress Pine tall woodland on red loams mainly of the eastern Cobar Peneplain Bioregion
  • 130: Horse Mulga - Umbrella Mulga shrubland on ranges in the arid and semi-arid climate zones
  • 133: Western Bloodwood - Whitewood low open woodland on Tibooburra Granite
  • 135: Coobah - Western Rosewood low open tall shrubland or woodland mainly on outwash areas in the Brigalow Belt South Bioregion
  • 140: Broombush shrubland in dunefields of the arid climate zone
  • 151: Sandhill Cane Grass hummock grassland on siliceous sands on dune crests of the arid zone
  • 167: Kerosene Grass - Mulka grass - short grassland/forbland of the arid zone
  • 176: Green Mallee - White Cypress Pine very tall mallee woodland on gravel rises mainly in the Cobar Peneplain Bioregion
  • 181: Common Reed - Bushy Groundsel aquatic tall reedland grassland wetland of inland river systems
  • 189: Ephemeral forbland wetland of low-saline lake-beds of the arid and semi-arid (warm) climate zones *190: Mallee Box open woodland mainly in the Murray Darling Depression Bioregion
  • 196: Australian Boxthorn open shrubland in the semi-arid or arid climate zones
  • 200: River Red Gum woodland wetland of lake fringes in the semi-arid (hot) and arid climate zones
  • 205: Marsh Club-rush wetland very tall sedgeland of inland watercourses, mainly Darling Riverine Plains Bioregion
  • 206: Dirty Gum - White Cypress Pine tall woodland of alluvial sand (sand monkeys) in the Darling Riverine Plains Bioregion and Brigalow Belt South Bioregion
  • 208: River Red Gum low woodland of rocky gorges and creeks in the Cobar Peneplain
  • 220: Purple Wood (Dead Finish) wattle shrubland of the arid zone sandplains
  • 222: Low Bluebush - Bladder Saltbush open shrubland of the arid zone
  • 231: Coolabah open woodland wetland dunefield depressions of the arid zone
  • 240: River Coobah tall shrubland wetland of the floodplains in the Riverina Bioregion and Murray Darling Depression Bioregion
  • 242: Rats Tail Couch sod grassland wetland of inland floodplains
  • 250: Derived tussock grassland of the central western plains and lower slopes of NSW
  • 261: Swamp Paper-bark shrubland wetland ringing depressions in the Mulga Lands Bioregion
  • 264: Supplejack woodland of the NSW north-western semi-arid plains
  • 359: Porcupine Grass - Red Mallee - Gum Coolabah hummock grassland / low sparse woodland on metamorphic ranges on the Barrier Range, Broken Hill Complex Bioregion
  • 375: Budda Pea - Channel Millet ephemeral reedland wetland on floodplains in north-western NSW
  • 630: Black Box - Silver Saltbush chenopod open woodland on terrace rises on alluvial plains in the lower Darling River and lower Murray River region of the Murray Darling Depression Bioregion
  • 1203: Speargrass natural grassland of the sandplains of the Murray Darling Bioregion

QuickView map fields:

• PCTID – Plant Community Type identifier.
• PCTName – Plant Community Type common names
• vegClass – The PCT’s Keith Class
• vegFormation – The PCT’s Keith Formation
• mapSource - The source of the polygon’s PCT attribution.
• MapName – The 100k sheet map name

Note that this is a dissolved surface and does not highlight the fine internal line-work within each map unit. Please refer to the 100k full data sheets for the complete editable internal linework, available by request from the Data.Broker@environment.nsw.gov.au.

The 100K full data fields are shown below:

• polygonID – Unique map polygon identifier
• PCTID – Plant Community Type identifier.
• PCTName – Plant Community Type common names
• vegetationClass – The PCT’s Keith Class
• vegetationFormation – The PCT’s Keith Formation

• mapSource - The source of the polygon’s PCT attribution. Possible values are:

  • Manual editing (Aerial Photo Interpretation)
  • Expert rules and manual edits
  • Spatial Modelling
  • Darling_vegetation_20160120
  • Balonne_vegetation_20160113
  • Existing Mapping VIS4186
  • Site Survey (a site survey exists)

• PCTIDMod1 - The most likely Plant Community Type identifier as derived from the spatial model.

• PCTIDMod2 - The second most likely Plant Community Type identifier as derived from the spatial model.

• PCTIDMod3 - The third most likely Plant Community Type identifier as derived from the spatial model.

• vegStruct - Vegetation Structural Class as derived from initial manual aerial photo interpretation. These values may have been changed during later PCT manual editing to maintain the one-to-one relationship between PCT and Vegetation Structural Class.

Possible values for vegStruct are listed in the table below:

• vegStruct (VPP) Description:

  • 0 Unknown
  • 1 Candidate Grasslands
  • 2 Eucalyptus woodlands
  • 3 Casuarina woodlands
  • 4 Cypress Pine woodlands
  • 5 Floodplain forest
  • 6 Non woody wetlands
  • 7 Brigalow
  • 8 Mulga
  • 9 Chenopods
  • 10 Myall woodlands
  • 11 Riparian woody
  • 12 Acacia Tall Shrublands >2m
  • 13 Tall Shrublands >2m
  • 14 Lignum
  • 15 Mallee
  • 16 Nitre wetlands and floodways
  • 17 Hopbush
  • 18 Leopard wood
  • 19 Low shrublands <2m

• PCTmapAccuracyConfidence - Modelling Confidence for PCTIDMod1 – Note that this reflects the modelling surface (PCTIDMod1) only and may not reflect the confidence of the mapped attribution (PCTID). PCTallocationConfidence can only be accurately applied to the published map surface (PCTID) where mapSource = ‘Spatial Modelling’.

• PCTSiteValidation - Type of field validation used to assess PCT reliability:

• Possible Values are:

  • Not validated
  • RPD (Rapid)
  • Full floristic validation

Full details will be provided in the pending Technical Report.

VIS_ID 4492

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022. Please note, Central West / Lachlan Region …Show full descriptionThis dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022. Please note, Central West / Lachlan Region Version 1.4. VIS_ID 4468 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025. The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area. The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available. Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs). The following fields are available for all maps: PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program. PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone. PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location. PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products. vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map. vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map. USER ACCURACY of Plant Community Type Models: These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location. PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT. The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4468.pdf' located below under 'Data and Resources'. Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites) |:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites | +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| +-----------+-----------------------+----------------------+---------------------------------------------------------------+ |:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::| Results based on 80/20 Cal/Val split* Cross validation results** Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon. The quickview maps are available by request from the Data.Broker@environment.nsw.gov.au. The full datasets are available as 1:100,000 map tiles, also by request from the Data.Broker@environment.nsw.gov.au. A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. VIS_ID 4468

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.

The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.

The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available.

Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).

The following fields are available for all maps:

PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program.

PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone.

PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location.

PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model.

PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model.

mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products.

vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map.

vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map.

USER ACCURACY of Plant Community Type Models:

These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location. PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT. The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4467.pdf' located below under 'Data and Resources'.

Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites)

|:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites |

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

+-----------+-----------------------+----------------------+---------------------------------------------------------------+

|:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|

Results based on 80/20 Cal/Val split*

Cross validation results**

Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.

A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. VIS_ID 4467

This report maps and qualitatively describes the vegetation types on the North Star Nature Preserve in order to provide baseline information for management. Each vegetation type is also classified to U.S. National Vegetation Classification standards. Finally, an updated vascular plant species list for the property is provided and the floristic quality index is calculated.

The Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project was initiated in the fall of 2019 by a grant through the USGS Natural Resource Preservation Program to classify and map vegetation types of the Seboeis Unit thereby providing resource managers and biological researchers with useful baseline vegetation information. This layer provides the vegetation map for the Seboeis Unit. Information for this layer was collected in 2019 and 2020. After completion of the accuracy assessment process, 33 map classes represent the Seboeis Unit of the monument. Of the 33 map classes that represent the Seboeis Unit, 28 represent natural (including ruderal) vegetation types, consisting of 50 U.S. National Vegetation Classification (USNVC) association types. For the remaining 5 of the overall 33 map classes, 2 represent USNVC cultural types for barren areas and developed areas and 3 represent non-USNVC types for non-vegetated open water. Of the 28 map classes representing natural (including ruderal) vegetation types, 15 represent a single vegetation type (when it exists above an the minimum mapping unit [MMU]), 7 represent 2 vegetation types mapped together, 5 represent 3 vegetation types mapped together, and 1 represents 6 vegetation types mapped together. Polygon units were mapped to either a 0.5 ha or 0.25 ha minimum mapping unit, depending on vegetation type. Collectively, the spatial-database layer (vegetation map) produced for the Seboeis Unit vegetation mapping project consists of 1,261 polygons and covers 4,854.8 ha, with an average polygon size of 3.8 ha. The 28 map classes representing natural (including ruderal) vegetation types apply to 97.6% of polygons (1,231 polygons; average size of 3.9 ha) and cover 98.6% of the Seboeis Unit (4,787.5 ha). Further broken down, map classes representing natural vegetation types indicate that the Seboeis Unit is 93.2% forest and woodland (4,526.6 ha), 4.0% shrubland (195.3 ha), and 1.3% herbaceous cover (65.6 ha). Map classes representing cultural vegetation types in the USNVC apply to 1.0% of polygons (12 polygons; average size of 2.5 ha) and cover 0.6% of the Seboeis Unit (29.7 ha). Map classes representing non-vegetation open and flowing water (non-USNVC) apply to 1.4% of polygons (18 polygons; average size of 2.1 ha) and cover 0.8% of the Seboeis Unit (37.4 ha). The information in this layer is explained in depth in the report titled Vegetation Map for the Seboeis Unit of Katahdin Woods and Waters National Monument.

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. To map the vegetation and land cover of GRSM, 52 map classes were developed. Of these 52 map classes, 46 represent natural (including ruderal) vegetation types, most of which types are recognized in the USNVC. For the remaining 6 of the 52 map classes, 4 represent USNVC cultural types for agricultural and developed areas, and 2 represent non-USNVC types for nonvegetated open water and nonvegetated rock. Features were interpreted from viewing four-band digital aerial imagery using digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems; digital aerial imagery was collected during September 23–October 30, 2015. The interpreted data were digitally and spatially referenced, thus making the spatial-database layers usable in a geographic information system. Polygon units were mapped to either a 0.5- or 0.25- hectare (ha) minimum mapping unit, depending on vegetation type. A geodatabase containing several feature-class layers and tables provides the locations and data of USNVC vegetation types (vegetation map layer), vegetation plots, verification sites, AA sites, project boundary extent, and aerial image centers and flight lines. Covering 210,875 ha, the feature-class layer and related tables for the vegetation map layer provide 34,084 polygons of detailed attribute data when special modifiers are not considered (average polygon size of 6.2 ha) and 36,589 polygons of detailed attribute data when special modifiers are considered (average polygon size of 5.8 ha). Each map polygon is assigned a map-class code and name and, when applicable, are linked to USNVC classification tables within the geodatabase. The vegetation map extent includes the administrative boundary for GRSM and the Foothills Parkway.

This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022. \r \r Please note, Riverina Region Version v1.2 - VIS_ID 4469 web service and zipped dataset will be archived and will no longer be available on line after 31st March 2025.\r \r The NSW Office of Environment and Heritage (OEH) is producing a new map of the State’s native vegetation. This seamless map of NSW’s native vegetation types will enable government, industry and the community to better understand the composition and the relative significance of the native vegetation in their local area.\r \r The State Vegetation Type Map (SVTM) (http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm ) is constructed from the best available imagery, site survey records, and environmental information. Existing vegetation mapping has been integrated in some locations. Each vegetation survey is assigned to a Plant Community Type (PCT) and this is used to create a model of the distribution of each type. Their place in the landscape is then attributed based on the visual interpretation of vegetation structure. The SVTM is designed to be dynamically improved and upgraded as new local information becomes available. \r \r Each quickview map is attributed with a code for all three tiers of the NSW vegetation type classification system: Formations, Classes, and Plant Community Types (PCTs).\r \r The following fields are available for all maps:\r \r PCTID: The unique identifier for the Plant Community Type. The PCT Id is captured as part of the mapping program.\r \r PCTName: A colloquial description of the plant community that can be understood by non-botanists. It may include common names of dominant plant species, names of a geographical region, a substrate, a soil type or a climatic zone.\r \r PCTIDMod1: The most likely Plant Community Type to occur in the polygon, identified by its PCT Id. This value is as derived from a spatial model that may provide one or more PCT alternatives. It provides an indication of PCT uncertainty, as several PCTs will usually have some probability of occurring at any particular location.\r \r PCTIDMod2: The second most likely Plant Community Type identifier as derived from a spatial model. \r \r PCTIDMod3: The third most likely Plant Community Type identifier as derived from a spatial model. \r \r mapSource: The various sources of information used in deriving the vegetation map, including spatial models, visual interpretation and existing map products.\r \r vegetationClass: Equivalence of a community to one of the Vegetation Classes as originally defined in the Keith (2004) Statewide Vegetation Map.\r \r vegetationFormation: Equivalence of a community to one of the Vegetation Classes as original defined in the Keith (2004) Statewide Vegetation Map.\r \r \r USER ACCURACY of Plant Community Type Models:\r \r These results should be interpreted as a reflection of the model user accuracy, not map accuracy. [Map Accuracy = API Accuracy (visual interpretation of ADS40) x Model Accuracy (PCT Model Results)]. The accuracy of the API produced landscape class map has not been assessed at this stage. The model user accuracy below was derived by cross validation for CWL and RIV and by an 80/20 split for BRGN. \r User accuracy using cross validation is an estimate of how well the model would perform on a new, unmapped location.\r PCT User Accuracy is represented as a % (percentage). The number of field survey samples is recorded in the field Number of sites per PCT.\r The summary table below shows the number of PCTs modelled in each study area and the number of sites available (RIV includes pseudo-sites). PCT User Accuracy is weighted by the Number of sites per PCT. Accuracy is not reported for PCTs with less than 5 records. For a full description per PCT of user accuracy, please see attached 'User_Accuracy_per_PCT_VIS_ID_4469.pdf' located below under 'Data and Resources'.\r \r Table 1: SVTM Number of PCTs, number of sites per PCT and PCT User Accuracy (weighted by number of sites)\r \r ------------------------------------------------------------------------------------------------------------------------------\r \r |:Area::::::| Number of PCTs | Number of Sites | PCT user accuracy weighted by number of sites |\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:NBRG*:| 268:::::::::::::::::::::::| 2534:::::::::::::::::::| 54.9::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:CWL**::| 198:::::::::::::::::::::::::| 10463:::::::::::::::| 62.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:RIV:::::::| 130::::::::::::::::::::::::| 10699:::::::::::::::| 57.5:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r +-----------+-----------------------+----------------------+---------------------------------------------------------------+\r \r \r |:Total::::| 596:::::::::::::::::::::::::| 23696::::::::::::::::| 58.2::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::|\r \r ------------------------------------------------------------------------------------------------------------------------------\r \r Results based on 80/20 Cal/Val split*\r \r Cross validation results**\r \r \r Quickview maps are simplified versions of the vegetation maps and only contain a subset of the attributes available. They are easier to navigate but still contain the top 3 most likely PCTs for each polygon.\r \r The quickview maps are available by request from the Data.Broker@environment.nsw.gov.au. The full datasets are available as 1:100,000 map tiles, also by request from the Data.Broker@environment.nsw.gov.au.\r \r A technical report is in press: State of New South Wales and Office of Environment and Heritage (2016) NSW State Vegetation Type Map – Central NSW, Part A: Summary, NSW Office of Environment and Heritage, Sydney, Australia. Meanwhile, for more technical detail about how the maps are created, or more detailed data, contact Bionet@environment.nsw.gov.au or visit http://www.environment.nsw.gov.au/vegetation/state-vegetation-type-map.htm. \r VIS_ID 4469

Mapped polygons at 1:7.5 million scale contain many vegetation types. The map portrays the zonal vegetation within each mapped polygon. Zonal sites are areas where the vegetation develops under the prevailing climate, uninfluenced by extremes of soil moisture, snow, soil chemistry, or disturbance, and are generally flat or gently sloping, moderately drained sites, with fine-grained soils (Vysotsky 1927). Large areas of azonal vegetation that are dependent on specific soil or hydrological conditions, such as mountain ranges and large wetlands, were also mapped. The legend contains five broad physiognomic categories: B — barrens, G — graminoid-dominated tundras, P — prostrate-shrub-dominated tundras, S — erect-shrub-dominated tundras, and W — wetlands. These are subdivided into 15 vegetation mapping units with numeric codes added to the alphabetic codes. The mapping units are named according to dominant plant functional types except in the mountains where complexes of vegetation are named according to the dominant bedrock (carbonate and noncarbonate mountain complexes). The coloring scheme of the map is suggestive of the physiognomy of the vegetation. The plant functional types are based on a variety of criteria including growth form (e.g., graminoids, shrubs), size (e.g., dwarf and low shrubs), and taxonomical status (e.g., sedges, rushes, grasses). The legend takes into special consideration the stature of woody shrubs, which is a major diagnostic feature of zonal vegetation in the Arctic (Edlund and Alt 1989, Walker et al. 2002, Yurtsev 1994). Very steep bioclimate gradients occur in mountains, so these areas are mapped as complexes of elevation belts. Mountainous areas of the map are shown with hachures; the background color indicates the nature of the bedrock, and the color of the hachures indicate the bioclimate subzone at the base of the mountains. Back to Alaska Arctic Tundra Vegetation Map (Raynolds et al. 2006) Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes AVHRR NDVI , Bioclimate Subzone, Elevation, False Color-Infrared CIR, Floristic Province, Lake Cover, Landscape, Substrate Chemistry, Vegetation References Edlund, S. A. and B. T. Alt. 1989. Regional congruence of vegetation and summer climate patterns in the Queen Elizabeth Islands, Northwest Territories, Canada. Arctic 42:3-23. Vysotsky, G.N. 1927. Theses on soil and moisture (conspectus and terminology). Lesovedenie (eds.) Sbornik Lesnogo Obschestva v Leningrade. Leningrad. pp. 67-79 (In Russian). Walker, D. A., W. A. Gould, and M. K. Raynolds. 2002. The Circumpolar Arctic Vegetation Map: Environmental controls, AVHRR-derived base maps, and integrated mapping procedures. International Journal of Remote Sensing 23:2551-2570. Yurtsev, B. A. 1994. Floristic divisions of the Arctic. Journal of Vegetation Science 5:765-776.

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. To map the vegetation and land cover of JELA, 26 map classes were developed. Of these 26 map classes, 24 represent natural (including ruderal) vegetation types, most of which types are recognized in the USNVC. For the remaining 2 of the 26 map classes, 1 of the map classes represents a USNVC cultural subclass type for developed areas, and the other map class represents a non-USNVC type for nonvegetated open water. Features were interpreted from viewing 3-band digital aerial imagery using digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems; digital aerial imagery was collected during July 25–26, 2014. The interpreted data were digitally and spatially referenced, thus making the spatial-database layers usable in a geographic information system. Polygon units were mapped to either a 0.5-hectare (ha) or 0.25-ha minimum mapping unit, depending on vegetation type. A geodatabase containing various feature-class layers and tables presents the locations of USNVC vegetation types (vegetation map layer), vegetation plot samples, verification sites, AA sites, project boundary extent, and aerial image centers and flight lines. The feature-class layers and related tables for the vegetation map layer provide 2,463 polygons of detailed attribute data covering 11,058.5 ha, with an average polygon size of 4.5 ha when physiognomic cover-density modifiers are not considered; with modifiers, the vegetation map consists of 2,867 polygons, with an average polygon size of 3.9 ha. The vegetation map includes the administrative boundary for the Barataria Preserve within JELA and the Fleming Plantation area.

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. A total of 44 map classes were developed to map the vegetation and general land cover of CUVA, including the following: 29 map classes represent natural/semi-natural vegetation types in the NVCS, 12 map classes represent cultural vegetation (agricultural and developed) in the NVCS, and 3 map classes represent non-vegetation features (open-water bodies). Features were interpreted from viewing color-infrared digital aerial imagery dated October 2010 (during peak leaf-phenology change of trees) via digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). The interpreted data were digitally and spatially referenced, thus making the spatial database layers usable in GIS. Polygon units were mapped to either a 0.5 ha or 0.25 ha minimum mapping unit, depending on vegetation type.

This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31.

Napa County has used a 2004 edition vegetation map produced using the Manual of California Vegetation classification system (Thorne et al. 2004) as one of the input layers for land use decision and policy. The county decided to update the map because of its utility. A University of California, Davis (UCD) group was engaged to produce the map. The earlier map used black and white digital orthophoto quadrangles from 1993, with a pixel resolution of 3 meters. This image was delineated using a heads up digitization technique produced by ASI (Aerial Services Incorporated). The resulting polygons were the provided vegetation and landcover attributes following the classification system used by California State Department of Fish and Wildlife mappers in the Manual of California Vegetation. That effort included a brief field campaign in which surveyors drove accessible roads and verified or corrected the dominant vegetation of polygons adjacent to roadways or visible using binoculars. There were no field relevé or rapid assessment plots conducted. This update version uses a 2016 edition of 1 meter color aerial imagery taken by the National Agriculture Imagery Program (NAIP) as the base imagery. In consultation with the county we decided to use similar methods to the previous mapping effort, in order to preserve the capacity to assess change in the county over time. This meant forgoing recent data and innovations in remote sensing such as the use LiDAR and Ecognition’s segmentation of imagery to delineate stands, which have been recently used in a concurrent project mapping of Sonoma County. The use of such technologies would have made it more difficult to track changes in landcover, because differences between publication dates would not be definitively attributable to either actual land cover change or to change in methodology. The overall cost of updating the map in the way was approximately 20% of the cost of the Sonoma vegetation mapping program.Therefore, we started with the original map, and on-screen inspections of the 2004 polygons to determine if change had occurred. If so, the boundaries and attributes were modified in this new edition of the map. We also used the time series of imagery available on Google Earth, to further inspect many edited polygons. While funding was not available to do field assessments, we incorporated field expertise and other map data from four projects that overlap with parts of Napa Count: the Angwin Experimental Forest; a 2014 vegetation map of the Knoxville area; agricultural rock piles were identified by Amber Manfree; and parts of a Sonoma Vegetation Map that used 2013 imagery.The Angwin Experimental Forest was mapped by Peter Lecourt from Pacific Union College. He identified several polygons of redwoods in what are potentially the eastern-most extent of that species. We reviewed those polygons with him and incorporated some of the data from his area into this map.The 2014 Knoxville Vegetation map was developed by California Department of Fish and Wildlife. It was made public in February of 2019, close to the end of this project. We reviewed the map, which covers part of the northeast portion of Napa County. We incorporated polygons and vegetation types for 18 vegetation types including the rare ones, we reviewed and incorporated some data for another 6 types, and we noted in comments the presence of another 5 types. There is a separate report specifically addressing the incorporation of this map to our map.Dr Amber Manfree has been conducting research on fire return intervals for parts of Napa County. In her research she identified that large piles of rocks are created when vineyards are put in. These are mapable features. She shared the locations of rock piles she identified, which we incorporated into the map. The Sonoma Vegetation Map mapped some distance into the western side of Napa County. We reviewed that map’s polygons for coast redwood. We then examined our imagery and the Google imagery to see if we could discern the whorled pattern of tree branches. Where we could, we amended or expanded redwood polygons in our map.The Vegetation classification systems used here follows California’s Manual of California Vegetation and the National Vegetation Classification System (MCV and NVCS). We started with the vegetation types listed in the 2004 map. We predominantly use the same set of species names, with modifications/additions particularly from the Knoxville map. The NVCS uses Alliance and Association as the two most taxonomically detailed levels. This map uses those levels. It also refers to vegetation types that have not been sampled in the field and that has 3-6 species and a site descriptor as Groups, which is the next more general level in the NVCS classification. We conducted 3 rounds of quality assessment/quality control exercises.