Vicmap Vegetation - Tree Urban Point
dataset:
TREE_URBAN
The Vicmap Vegetation Tree Urban represents trees as points across Metropolitan Melbourne and the urban environment within four regional councils: Wangaratta, Sale, Shepparton and Ballarat.
This product is derived from machine learning of high resolution aerial photography with no post processing human intervention.
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Citation proposal Citation proposal
(2021) Vicmap Vegetation - Tree Urban Point Department of Transport and Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/51eba84d-7cb2-55bc-bf96-f10cb44bc923 |
- Description
- Temporal
- Spatial
- Maintenance
- Format
- Contacts
- Keywords
- Resource Constraints
- Lineage
- Metadata Constraints
- Quality
- Acquisition Info
- Raster Data Details
- Raster Type Details
- Point Cloud Data Details
- Contour Data Details
- Survey Details
Simple
Description
- Title
- Vicmap Vegetation - Tree Urban Point
- Alternate title
- TREE_URBAN
- Purpose
- This dataset is to provide information of the location of trees in urban environments across Metropolitan Melbourne and Wangaratta, Sale, Shepparton and Ballarat.
- Credit
- John White, Cat Gilbert, Ross Honeyman, Emil Skender.
- Supplemental Information
- History: The aerial photography was sourced via the Coordinated Imagery Program. Current Design Issues: TREE_DENSITY is derived from SPOT Panchromatic imagery. Each image covers an area of 60x60km and approximately 90 images are required to cover the State of Victoria. As a result, TREE_DENSITY has been derived from many images of different dates. This not only presents an issue for its primary purpose as a monitoring base, but also for layer design. It is theoretically possible for polygons within any map section to be derived from images dated as far apart as 10 years. It is even common for individual polygons to have been derived from images of at least two different dates. It is therefor imperative to carry date information as a polygon attribute. Several options are available to deal with date information. Firstly, the polygon boundaries of the images used to derive the layer can be brought into the dataset. This would divide some tree boundaries by an artificial break and adversely affect any analysis of the data by polygon area and density class. To avoid splitting tree density polygons by date, it is neater to carry multiple date attributes that can be used to define the upper and lower dates of the images used to derive each polygon. Where polygons were derived from one image, both upper and lower dates will be the same. Where more than two images were used to derive a polygon, the earliest date and the latest date are used. The date attributes are also filled in for non tree polygons. This provides the additional information that there were no trees at the given date(s). Future Design Issues: A numeric code for density class may be implemented as the current character code may prove to be cumbersome. A new raster TREE25 dataset may also be implemented representing tree cover before it is grouped into density classes. Related Documents: None
- Status
- Completed
Temporal
Spatial
- Code
- 4283
Maintenance
- Maintenance and update frequency
- Irregular
Format
Contacts
Point of contact
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Cited responsible party
No information provided.
Keywords
- Topic category
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- Environment
- Biota
- Imagery base maps earth cover
- Farming
Resource Constraints
- Use limitation
- Data is available under a Creative Commons licence.
- Classification
- Unclassified
Lineage
- Statement
- Dataset Source: Vicmap Vegetation Tree Ledger is derived from 10cm aerial photography. Dataset Originality: Derived
- Description
- Collection Method: Digital classification
- Description
- Machine learning feature extraction was used to create this product. Trees greater than approximately 2 metres in height were used for training the model.
Metadata Constraints
- Classification
- Unclassified
Quality
Attribute Quality
- Comments
- The attribute accuracy of the 'is dense' attribute is dependant on the density classifications in the Vicmap Vegetation Tree Density dataset.
Positional Accuracy
- Comments
- The positional accuracy is determined by the geometric rectification of the high resolution aerial photography. The aerial photophaphy metadata can be found using the associated ANZLIC ID in the metadata.
Conceptual Consistency
- Comments
- All relationships between attributes are logical.
Missing Data
- Comments
- Metropolitan Melbourne and the urban environment within four regional councils: Wangaratta, Sale, Shepparton and Ballarat. Completeness Verification: The accuracy of this product is 79%.This accuracy was derived using an F1 score. The F1 score assesses the model on its ability to find all the trees in the image, while penalising it for overpredicting.
Excess Data
- Comments
- This product is derived from machine learning of high resolution aerial photography with no post processing human intervention. This product has known errors identifing individual tree points in dense areas. As such, this has been atrributed to make users aware of potential errors.
Acquisition Info
Raster Data Details
Point Cloud Data Details
Contour Data Details
Survey Details
Overviews
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51eba84d-7cb2-55bc-bf96-f10cb44bc923
Access to the portal Access to the portal
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Associated resources
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