Field | Value |
---|---|
Title |
Maitland LGA Vegetation 2003. VIS_ID 444 |
Alternative title(s) |
MaitlandLGA_2003_E_444 |
Abstract |
Maitland City Council(MCC)Vegetation Mapping by Lisa Hill in 2003. Vegetation distribution map for lands within the extent of the local government area, excluding those contained within National Park or State Forest Reserves. Systematic vegetation survey was carried out in Maitland LGA to provide Maitland Council with detailed information on natural vegetation for strategic planning purposes. Flora was sampled at 55 field sites (plots) and extensive field reconnaissance was carried out across the LGA. Agglomerative cluster analysis of plot data delineated eleven vegetation communities and an additional two communities were described by previous work in the LGA work (NPWS 2000). A total of 8,305 ha of extant vegetation was mapped in Maitland LGA using aerial photograph interpretation (API) at 1:25,000 scale. This included thirteen vegetation communities and areas of scattered trees and regeneration that did not constitute intact communities. Much of the vegetation in the LGA has affiliation with vegetation in the central, lower and mid Hunter valley, with areas in the south-east of the LGA more related to coastal vegetation in the lower Hunter-Central Coast Region. VIS_ID 444 |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Maitland LGA Vegetation 2003. VIS_ID 444 Function: download |
Vegetation Maitland LGA VIS ID 444 |
Name: Vegetation Maitland LGA VIS ID 444 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download Data Package Function: download |
Unique resource identifier |
|
Code |
619fd4e1-3f46-4a43-a714-393e4270fc5e |
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/619fd4e1-3f46-4a43-a714-393e4270fc5e |
Purpose |
Ecological assessment of extant vegetation in Maitland LGA was carried out to provide Council with indicative, relative conservation priorities in the LGA. Criteria used in the ecological assessment were based on attributes that could be measured remotely. |
Status |
Completed |
Spatial representation |
|
Type |
vector |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Equivalent scale |
1:None |
Additional information source |
Vegetation mapping commissioned by Council. Metadata entered by OEH. Hill, L. 2003, The Natural Vegetation of the Maitland Local Government Area. Report prepared for Maitland City Council. September, 2003. Footprint only supplied. Download package includes a readme file with information about data access. |
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 |
151.929 |
East bounding longitude |
152.2643 |
North bounding latitude |
-32.4212 |
South bounding latitude |
-32.0859 |
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 |
2003-01-01 |
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 |
SPOT5 imagery was acquired on 16th June 2005 and 17th July 2005 covering the full extent. The imagery was captured with a 10m pixel in the multispectral bands (Blue, Green, Near Infra-red) as well as a 2.5m pixel for the panchromatic band. The combination of these bands allow for both spectral analysis as well as enhanced visual interpretation and definition of the spatial extent of the woody vegetation. Image Analysis Image analysis (segmentation and classification)was carried out using an object based image classification system. Objects were segmented at the resolution of the SPOT5 panchromatic band to maximise the detail attainable in the final product to be equivalent to mapping at 1:10,000 and to take advantage of the finer spatial definition of vegetation extents. Each scene was processed independently, with the resulting mapping mosaicked together, post-processing to form one continuous layer. 2.3.1 Delineation of Woody Vegetation Each scene was processed to isolate woody vegetation by eliminating other types of land cover,using spectral thresholds. This method of systematic elimination of other land cover types was preferred to that of targeting woody vegetation directly as it allowed for the potential use of associative rules. The other types of land cover identified were water, extreme shadow, grasslands, exposed soil, building/infrastructure, herbaceous vegetation, and “green flush”. Such thresholds were able to isolate the majority of non-vegetative land cover types however various vegetation indices were necessary to help delineate woody from non-woody vegetation and non-woody vegetation from other land cover types. 2.3.2 Isolation of Horticulture and Timber Plantation Each image was further processed to isolate horticulture and plantation forestry from within the woody vegetation, and to a lesser extent, the green flush classes. This enabled these classes to be excluded from further analysis in the generation of a woody vegetation classification, and for these classes to form the basis of the horticulture/plantation mapping outcomes. A combination of textural and spectral thresholds was used to isolate these classes. By utilising contextual information such as the occurrence of plantation rows amongst the identified objects, these plantation areas were isolated and categorised accordingly. Areas automatically isolated were visually reviewed and manually amended where necessary. 2.3.3 Classification of Remnant Vegetation The remaining areas of woody vegetation were then 'seeded' with areas of known vegetation class ‘samples’, as determined by the field survey, from which spectral and topographic similarity was used to predict the presence of those types elsewhere in the image. A classification algorithm was used to predict the vegetation class according to Keith (2004) Type. |
Field | Value |
---|---|
Limitations on public access |
|
Field | Value |
---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2001-01-01 |
DQ Completeness Omission |
|
Effective date |
2001-01-01 |
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 |
2024-02-26T13:24:11.495071 |
Metadata language |
|