Field | Value |
---|---|
Title |
Southeast NSW Native Vegetation Classification and Mapping - SCIVI. VIS_ID 2230 |
Alternative title(s) |
SouthCoast_SCIVI_V14_E_2230 |
Abstract |
Classification and descriptions of native vegetation types of southeast NSW (including the South Coast and parts of the eastern tablelands), and map of extant distribution of these veg types at 1:100 000 interpretation scale. Based on the South Coast - Illawarra Vegetation Integration (SCIVI) Project, which aimed to integrate many previous vegetation classification and mapping works to produce a single regional classification and map plus information on regional conservation status of vegetation types, to inform the South Coast and Illawarra Regional Strategies. Vegetation classification based on a compilation of ~ 8,500 full-floristic field survey sites from previous studies. Classified vegetation types refered to previous studies. Distribution of veg types was mapped by spatial interpolation (modelling) from classified sites, using a hybrid decision-tree/expert system. Final model was cut to \'extant\' boundaries using a compiled coverage of aerial photograph interpretation (API) of woody and wetland vegetation boundaries. A total of 189 vegetation types were identified, and types related to Endangered Ecological Communities are highlighted.; VIS_ID 2230 |
Resource locator |
|
Show on SEED Web Map |
Name: Show on SEED Web Map Protocol: WWW:DOWNLOAD-1.0-http--download Description: Display dataset on SEED's map Function: download |
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Southeast NSW Native Vegetation Classification and Mapping - SCIVI. VIS_ID 2230 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 |
Download Package |
Name: Download Package Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data and Documents Function: download |
Unique resource identifier |
|
Code |
a55ea79e-967e-42cc-b6a7-2f2627a606be |
Presentation form |
Map digital |
Edition |
unknown |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/a55ea79e-967e-42cc-b6a7-2f2627a606be |
Purpose |
Vegetation Mapping |
Status |
Completed |
Spatial representation type |
grid |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
10 m |
Additional information source |
Tozer,M.G et al. (2010). Native vegetation of South eastern NSW: a revised classification and map for the coast and eastern tablelands. Cunninghamia vol 11(3):1-48. |
Field | Value |
---|---|
Topic category |
Field | Value |
---|---|
Keyword set |
|
keyword value |
VEGETATION FLORA |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
148.989151 |
East bounding longitude |
151.428686 |
North bounding latitude |
-37.504648 |
South bounding latitude |
-33.498291 |
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 |
1991-01-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Unknown |
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 |
Refer to project report for details. Vegetation classification and mapping based on ~ 8,500 field survey sites compiled from numerous previous surveys by many workers between the 1980s and 2005. Extant boundaries of native vegetation delineated by compilation of new and existing spatial data derived from aerial photo interpretation, augmented in parts by on-screen interpretation from digital orthorectified imagery of 1998 or later. |
Field | Value |
---|---|
Limitations on public access |
|
Field | Value |
---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2009-10-01 |
Explanation |
Spatial completeness: final map of extant native vegetation boundaries relies on compilation of API of extant native vegetation. API standards vary across the study area. Smaller patches of woody vegetation and areas of non-woody non-wetland vegetation (eg. primary and secondary/derived grasslands) are not mapped as extant native vegetation.; ; Classification completeness: Classification based on ~8,500 full-floristic field samples compiled from numerous previous surveys. This is the most comprehensive classification of the native vegetation of this region to date, however every classification can be improved by further sampling. Report gives the number of field samples classified as each veg type (=map unit) - this gives a general indication of how comprehensive the description of each unit is, and the likely reliability of modelling for that vegetation type.; ; Verification completeness: No verification has been undertaken across the full study area, as all available site data was used to maximise power of model. Verification / statements of accuracy will be possible in future. |
DQ Completeness Omission |
|
Effective date |
2009-10-01 |
DQ Conceptual Consistency |
|
Explanation |
Distribution of veg types was mapped by spatial interpolation (modelling) from ~ 8,500 classified field survey sites, using a hybrid decision-tree/expert system to explore relationships between veg types and environmental variables including substrate, topography and climate. Final map is based on an explicit set of rules defining the environmental space occupied by each vegetation type. See report for discussion of the modelling process and its limitations. |
DQ Topological Consistency |
|
Explanation |
Checked for missing attributes All attributes were checked |
DQ Absolute External Positional Accuracy |
|
Explanation |
Spatial accuracy of modelled boundaries between vegetation types not tested, as no independent classified site data were available on completion of project. Accuracy of extant vegetation boundaries varies across the study area due to compilation of large number of previous coverages. Generally estimated to be 20-50m. |
DQ Non Quantitative Attribute Correctness |
|
Explanation |
Refer to project report for details. Accuracy of modelled vegetation types not tested as no independent classified site data were available following modelling. Accuracy of extant native vegetation boundaries varies across the study area according to standards of compiled API coverages: northern part (Sydney south to Araluen/Batemans Bay) delineated remnants andge;1ha, southern end andge;~2ha, small central area (Narooma/Cobargo) has minimum polygon size of 10ha. |
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 |
2024-02-26T12:58:45.376682 |
Metadata language |
|