Identification

Field	Value
Title	Hunter Wetlands National Park (Tomago Precinct) Vegetation Map, 2012. VIS_ID 3924
Alternative title(s)	HunterWetlandsTomago_E_3924
Abstract	Vegetation Mapping of the Tomago Precinct of Hunter Wetlands National Park undertaken by ecobiological for NPWS in 2012. Field data was collected at 647 points and 12 permanent monitoring points in May to June 2012. Six vegetation types consisting of 14 variants or sub-units were observed and mapped within the study area:  Saline Wetland Complex (230 ha)  Freshwater Wetland Complex (16 ha)  Swamp Oak Forest (69 ha)  Exotic Vegetation (40 ha)  Paperbark – Swamp Mahogany Forest (8ha)  Smooth-barked Apple – Red Bloodwood – Banksia Forest (5 ha) Four threatened ecological communities and two threatened species were recorded during the survey. Twenty (20) species of exotic plant were recorded during surveys and maps showing the distribution of noxious and environmental weeds are provided. VIS_ID 3924
Resource locator
Data Quality Statement	Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Hunter Wetlands National Park (Tomago Precinct) Vegetation Map, 2012. VIS_ID 3924 Function: download
Vegetation HunterWetlandsNP 3924	Name: Vegetation HunterWetlandsNP 3924 Protocol: WWW:DOWNLOAD-1.0-http--download Function: download
Unique resource identifier
Code	b8c44336-fa62-4baa-bcff-98548e8fc8ce
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/b8c44336-fa62-4baa-bcff-98548e8fc8ce
Purpose	To survey and map the current floristic composition and extent of vegetation and to establish fixed vegetation survey points which can be used to monitor changes occurring as a result of restoration of tidal inundation.Recommendations are provided for future monitoring and mapping using methods established by this study.
Status	Completed
Spatial representation
Type	vector
Spatial reference system
Code identifying the spatial reference system	4283
Equivalent scale	1:None
Additional information source	Hunter Wetlands National Park - Tomago Precinct Vegetation Report. Vegetation Mapping and Monitoring by ecobiological for NPWS, June 2012. Hunter Wetlands NP (Tomago Precinct) Vegetation Report 2012.pdf

Classification of spatial data and services

Field	Value
Topic category

Keywords

Field	Value
Keyword set
keyword value	FLORA-Native VEGETATION-Floristic
Originating controlled vocabulary
Title	ANZLIC Search Words
Reference date	2008-05-16
Geographic location
West bounding longitude	151.6683
East bounding longitude	151.7428
North bounding latitude	-32.8682
South bounding latitude	-32.8309
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	2012-06-30
End position	N/A
Dataset reference date
Resource maintenance
Maintenance and update frequency	Not planned
Contact info
Contact position	Data Broker
Organisation name	NSW Department of Climate Change, Energy, the Environment and Water
Telephone number	131555
Email address	data.broker@environment.nsw.gov.au
Web address	https://www.nsw.gov.au/departments-and-agencies/dcceew
Responsible party role	pointOfContact

Quality and validity

Field	Value
Lineage	Searches were conducted to identify spatial datasets that could be used to inform development of a vegetation map of the study area (Table 2). The spatial resolution of datasets traditionally used as inputs to vegetation mapping such as geology and soils, were too coarse for use in this study. A much more useful predictor of the distribution of saltmarsh vegetation is height above sea level. High resolution terrain data with a vertical resolution of 15cm captured using an airborne LiDAR sensor (DoP, 2008) was available for the study area and acquired for the project. Inundation models derived from this terrain data by the UNSW WRL (Rayner and Glamore, 2011) were also available. The best available recent aerial photography for the study area was from July 2011 but had a rather coarse 50cm resolution and was captured early or late in the day when tall features cast heavy shadows. The next best available photo was from 2008 and had a 10cm resolution and contained less shadowing. Linework was drawn primarily from 2011 photo with cross checking of the better quality earlier photo. The Study Area was divided into 100 m grid squares and a systematic visual inspection of 2-dimensional digital orthophotos was undertaken using a Geographic Information System (GIS). Imagery was examined at a 1: 800 scale and polygons were digitised around vegetation patches that appeared to have a relatively homogenous photo pattern: For woody cover an assessment was made of cover and growth stage and a relative score was recorded for these parameters within each polygon, according to the codes shown in Table 3 below. A “woody cover” threshold of 5% (crown separation ratio = 3), was used to categorise polygons as either Woody (c, d, e, f, g) or Non-Woody (z, a, b, c) (see National Committee on Soil and Terrain, 2009). The minimum-sized features delineated by mapping included vegetation patches with an area of 0.06 ha or greater (equivalent to a circle with a radius of 5 metres (m)), and linear features 3 m or greater. Non-vegetated areas, such as roads, bare ground, and water were also delineated. The Study Area was divided into 100 m grid squares and a systematic visual inspection of 2-dimensional digital orthophotos was undertaken using a Geographic Information System (GIS). Imagery was examined at a 1: 800 scale and polygons were digitised around vegetation patches that appeared to have a relatively homogenous photo pattern: For woody cover an assessment was made of cover and growth stage and a relative score was recorded for these parameters within each polygon, according to the codes shown in Table 3 below. A “woody cover” threshold of 5% (crown separation ratio = 3), was used to categorise polygons as either Woody (c, d, e, f, g) or Non-Woody (z, a, b, c) (see National Committee on Soil and Terrain, 2009). The minimum-sized features delineated by mapping included vegetation patches with an area of 0.06 ha or greater (equivalent to a circle with a radius of 5 metres (m)), and linear features 3 m or greater. Non-vegetated areas, such as roads, bare ground, and water were also delineated.

Field

Value

Lineage

Searches were conducted to identify spatial datasets that could be used to inform development of a vegetation map of the study area (Table 2). The spatial resolution of datasets traditionally used as inputs to vegetation mapping such as geology and soils, were too coarse for use in this study. A much more useful predictor of the distribution of saltmarsh vegetation is height above sea level. High resolution terrain data with a vertical resolution of 15cm captured using an airborne LiDAR sensor (DoP, 2008) was available for the study area and acquired for the project. Inundation models derived from this terrain data by the UNSW WRL (Rayner and Glamore, 2011) were also available.

The best available recent aerial photography for the study area was from July 2011 but had a rather coarse 50cm resolution and was captured early or late in the day when tall features cast heavy shadows. The next best available photo was from 2008 and had a 10cm resolution and contained less shadowing. Linework was drawn primarily from 2011 photo with cross checking of the better quality earlier photo.

The Study Area was divided into 100 m grid squares and a systematic visual inspection of 2-dimensional digital orthophotos was undertaken using a Geographic Information System (GIS). Imagery was examined at a 1: 800 scale and polygons were digitised around vegetation patches that appeared to have a relatively homogenous photo pattern:

For woody cover an assessment was made of cover and growth stage and a relative score was recorded for these parameters within each polygon, according to the codes shown in Table 3 below. A “woody cover” threshold of 5% (crown separation ratio = 3), was used to categorise polygons as either Woody (c, d, e, f, g) or Non-Woody (z, a, b, c) (see National Committee on Soil and Terrain, 2009). The minimum-sized features delineated by mapping included vegetation patches with an area of 0.06 ha or greater (equivalent to a circle with a radius of 5 metres (m)), and linear features 3 m or greater. Non-vegetated areas, such as roads, bare ground, and water were also delineated.

Constraints related to access and use

Field	Value
Limitations on public access

Data Quality

Field	Value
Scope	dataset
DQ Completeness Commission
Effective date	2001-01-01
DQ Completeness Omission
Effective date	2001-01-01

Responsible organisations

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	data.broker@environment.nsw.gov.au
Web address	https://www.nsw.gov.au/departments-and-agencies/dcceew
Responsible party role	pointOfContact

Metadata on metadata

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	data.broker@environment.nsw.gov.au
Web address	https://www.nsw.gov.au/departments-and-agencies/dcceew
Responsible party role	pointOfContact
Metadata date	2024-08-28T02:09:19.487585
Metadata language

Identification

Title

Alternative title(s)

Abstract

Resource locator

Data Quality Statement

Vegetation HunterWetlandsNP 3924

Unique resource identifier

Code

Presentation form

Edition

Dataset language

Metadata standard

Name

Edition

Dataset URI

Purpose

Status

Spatial representation

Type

Spatial reference system

Code identifying the spatial reference system

Equivalent scale

Additional information source

Classification of spatial data and services

Topic category

Keywords

Keyword set

keyword value

Originating controlled vocabulary

Title

Reference date

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Vertical extent information

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Maximum value

Coordinate reference system

Authority code

Code identifying the coordinate reference system

Temporal extent

Begin position

End position

Dataset reference date

Resource maintenance

Maintenance and update frequency

Contact info

Contact position

Organisation name

Telephone number

Email address

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

Quality and validity

Lineage

Constraints related to access and use

Limitations on public access

Data Quality

Scope

DQ Completeness Commission

Effective date

DQ Completeness Omission

Effective date

Responsible organisations

Responsible party

Contact position

Organisation name

Telephone number

Email address

Web address

https://www.nsw.gov.au/departments-and-agencies/dcceew

Responsible party role

Metadata on metadata

Metadata point of contact

Contact position

Organisation name