| Field | Value |
|---|---|
Title |
Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 |
Alternative title(s) |
HunterGreater_v4_E_3855 |
Abstract |
This dataset was superseded by the State Vegetation Type Map (https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map) on 24.06.2022.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 GHM geodatabase builds on a wealth of information and previous mapping from the Hunter region. Existing field data, mapping, classification and remote sensing interpretation were augmented with new survey data to produce the vegetation community classification used in this project. The classification used a series of well documented analyses as well as expert review to achieve its end-point. The GHM geodatabase contains two principal vegetation layers. The GHM Vegetation Type layer and the Canopy Cover (v2) layer (individual tree crowns or clumps of tree crowns). The GHM also contains field plot localities, associated species information and plot-specific photographs. Data specific to each polygon (e.g. crown cover) and to each native vegetation community type (e.g. common name, scientific name) are included. Polygons, the fundamental spatial units, are built from computer-based feature recognition which delineates landscapes patterns. The GHM Vegetation Type map is built by attributing individual polygons with vegetation type from the GHM floristic classification through a multi-stage process. The process includes visual interpretation of SPOT 5 and ADS40 imagery as well as species distribution modelling and expert review. The project included a review of existing mapping and classification and established equivalences between these and the GHM Classification. VIS ID 3855 |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: DQS - Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 Function: download |
Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 Documentation |
Name: Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 Documentation Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download Document Package Function: download |
Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 |
Name: Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download Shapefile data Package Function: download |
Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 Geodatabase |
Name: Greater Hunter Native Vegetation Mapping v4.0. VIS ID 3855 Geodatabase Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download Esri Geodatabase Package Function: download |
WMS |
Name: WMS Protocol: WWW:DOWNLOAD-1.0-http--download Description: Web Map Service Function: download |
REST Service |
Name: REST Service Protocol: WWW:DOWNLOAD-1.0-http--download Description: ESRI REST Services directory Function: download |
Unique resource identifier |
|
Code |
fe4f109f-7b7b-4932-974f-4df1f9112333 |
Presentation form |
Map digital |
Edition |
Not known |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/fe4f109f-7b7b-4932-974f-4df1f9112333 |
Purpose |
To classify and map native vegetation communities across the greater Hunter region, including Hawkesbury Nepean CMA. The classification is intended to be integrated into the NSW Plant Community Type Classification for use in NSW assessment and regulatory tools. Version 4 of the map and classification should be regarded as draft, and may undergo minor changes as it is integrated into the NSW PCT and subsequent tools. |
Status |
Under development |
Spatial representation |
|
Type |
vector |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Equivalent scale |
1:None |
Additional information source |
Greater Hunter Native Vegetation Mapping v4.0 is a draft dataset undergoing review. The vegetation types represented will not be altered but their distribution may be subject to change.This project was funded by Catchment Action NSW, with additional funding and material contributions from the Office of Environment and Heritage, Hunter Councils Inc, and Hunter Central Rivers Catchment Management Authority. For more information see:Sivertsen, D., Roff, A., Somerville, M., Thonell, J., and Denholm, B. 2011. Hunter Native Vegetation Mapping. Geodatabase Guide (Version 4.0), Office of Environment and Heritage, Department of Premier and Cabinet, Sydney, Australia. |
| Field | Value |
|---|---|
Topic category |
| Field | Value |
|---|---|
Keyword set |
|
keyword value |
VEGETATION |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
149.501157 |
East bounding longitude |
152.805743 |
North bounding latitude |
-33.593445 |
South bounding latitude |
-30.998426 |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
2005-01-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Biannually |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Lineage |
Vegetation patterns at the stand scale were delineated using automated feature recognition software. Definiens eCognition was used to define segments with low internal variation (low heterogeneity). Pan-sharpened SPOT5 data (5m) from multiple years formed the basis of the segmentation. The data had been pre-processed to accentuate the range of spectral responses or colours. The spatial resolution is 5m and the minimum mappable unit was set to 400m2. The polygon boundaries have been smoothed and narrow slivers were eliminated. There were two stages in the feature recognition approach. The first stage was optimised to differentiate woody and non-woody vegetation. The second stage was optimised to differentiate vegetation patterns within the extent of woody vegetation. The first stage employed multi-temporal pan-sharpened SPOT - 5 data (5m). Only the red band (610-680nm) from each SPOT image was used to maximise the characteristic stability of woody vegetation over time. Each object was then classified as woody, non-woody and ‘other’ using the Crown Cover v2 layer and visual interpretation. For stage two the boundaries within the woody vegetation were dissolved and new objects were created within their boundaries using stretched, multi-temporal imagery. The contrast of all bands was increased using an adaptive equalisation stretch to maximise the separability of discrete vegetation patches within mosaics. The vegetation map was created by attributing vegetation polygons with a vegetation type. There are multiple stages involved but the fundamental steps are as follows: Survey sites that meet quality criteria are assigned a GHM type label using PATN analysis. Vegetation map units were defined using a hierarchical modelling approach that included the manual allocation of Keith Formation using visual identification, the use of a species distribution model to calculate the probability of GHM type in each polygon using environmental layers and a set of expert rules is developed to combine the formation classification and the modelled results. The results undergo visual quality assurance, again using manual image interpretation. |
| Field | Value |
|---|---|
Limitations on public access |
|
| Field | Value |
|---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2001-01-01 |
Explanation |
As with almost all vegetation modelling exercises, the short-coming of having too few samples per community was an issue in the Hunter. 243 PCT’s were identified in the Hunter region, with the number of plots per PCT ranging from 0 to 155; and only 53 PCT’s having 30 or more plots. All PCT’s with plot data were modelled (236 PCT’s); however the results of PCT’s with low samples sizes have not been validated. 5297 site records with 2050 taxa were used in the model. 20% of sites were allocated for validation were removed. Consistent with the DECCW Native Vegetation Interim Type Standard (Sivertsen, 2009), the test plots were used to quantify the performance of the final result on the basis of the number of GHM community types mapped in three classes (see Gopal and Woodcock 1994). In preparation for analysis a table of ‘Acceptable Mapping Alternatives’ was prepared (see Appendix E). The aim of this table was to identify clusters of structurally and floristically similar communities which for validation purposes are considered interchangeable and ‘acceptable errors’ in mapping. For example Water Gum Riparian rainforests (MU012) and River Oak riparian forests (MU196) occur both as separate entities as well as mosaics along rivers on the Lower North Coast. Similarly, Spotted Gum communities MU82, 83 and 84 are only discernible on the ground by the frequency of certain species of ironbark and the understory composition. In both these cases distinguishing the individual communities reliably, given the available survey data, ground truthing and remote sensing techniques used, may be beyond available capacity and resources and therefore constitute ‘acceptable errors’ in mapping . Following Gopal & Woodcock (1994), three categories are recognised: 'CORRECT' where either the first vegetation community assigned in the field validation polygon corresponds with the mapped unit. 'ESSENTIALLY CORRECT' where either the first vegetation community falls within the defined cluster of ‘Acceptable Mapping Alternatives’ and one of those alternative corresponds to the Mapped MU, it is deemed to be incorrect but acceptable. 'INCORRECT' where the first or alternative does not match the Mapped MU. Of the 1022 available independent survey sites (rapid and full floristic) 65.3% were considered to have the 'CORRECT' or 'ESSENTIALLY CORRECT' GHM type. Details of the validation for each map unit are presented in Appendix D of the Geodatabase Guide. |
DQ Completeness Omission |
|
Effective date |
2001-01-01 |
DQ Conceptual Consistency |
|
Explanation |
Schema rules were influenced by the NSW Interim Vegetataion Type Standard. |
DQ Absolute External Positional Accuracy |
|
Explanation |
The mapping is based on SPOT 5 data that has been geometrically corrected.The raw digital numbers were pan sharpened (creating a 5m layer). The extent of woody vegetation is based on a classification of SPOT 5 data over three time periods.Geometeric accuracy is commensurate with 1:25,000 scale aerial photographic interpretation. |
DQ Non Quantitative Attribute Correctness |
|
Explanation |
Of the 1022 available independent survey sites (rapid and full floristic) 65.3% were considered to have the 'CORRECT' or 'ESSENTIALLY CORRECT' GHM type. Details of the validation for each map unit are presented in Appendix D of the Geodatabase Guide. |
| Field | Value |
|---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T13:43:00.631310 |
Metadata language |
|