Modelled above ground forest biomass - 2014
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  Modelled above ground forest biomass - 2014

dataset: FOREST_ABG_2014
Spatial dataset of Above Ground Biomass (AGB) in Victoria's public forest estate. In Victoria, forests are defined as land area greater than 0.5 ha, dominated by trees usually having a single stem and a mature or potentially mature stand height exceeding two metres and with existing or potential crown cover of overstory strata equal to or greater than 20 percent. This definition includes native forests, plantations and areas of trees sometimes described as woodlands.
 
Citation proposal Citation proposal
(2019)

Modelled above ground forest biomass - 2014

Department of Environment, Land, Water & Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/cde32ff0-69fd-5754-a2bc-b2b9e4664c4d
 
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints
  • Quality

Description

Title
Modelled above ground forest biomass - 2014 
Alternate title
FOREST_ABG_2014 
Resource Type
Dataset  
Purpose
This data is a product of a range of data processing steps delivered through the DELWP-RMIT collaboration titled "Landfor". Over 3,000 Landsat images were used to create annualized cloud free best available pixel composite for over 30 years. Those annual image composites have been stacked and temporal spectral trajectory of a pixels (pixel value) were extracted using a range of metric e.g. normalised difference vegetation index, normalised burn ratio index and Tasseled Cap wetness index etc. The "LandTrendr" algorithm was used to analyse the time series pixels to detect change within the time series and identified forest disturbance. The modelled AGB Spatial dataset is an amalgamation of landfor outputs, topographic variables e.g. elevation, slope etc and climate variables e.g. precipitation, temperature etc and data drawn from the Victorian Forest Monitoring Program's measured ground plots using KNN algorithm. Key attribute is Forest AGB biomass measured in t/ha. 
Supplemental Information
Related Documents: None 
Status
Completed  
 
 

Temporal

Time period
2017-01-032017-01-29 
 
 

Spatial

Spatial representation type
Vector  
Code
4283 
Description
General - Victoria 
N
S
E
W


 

 

Maintenance

Maintenance and update frequency
Not planned  
 
 

Format

Title
Raster GeoTIFF 23 
 
 

Contacts

  Point of contact

Department of Environment, Land, Water & Planning - Liam Costello (left)   (Team Leader Forest Monitoring & Evaluation)  
Level 14, 8 Nicholson Street
East Melbourne
Vic
3002
Australia

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Environment
  • Biota
  • Farming
 
 

Resource Constraints

Use limitation
(c) The State of Victoria Department of Environment, Land, Water and Planning (DELWP). Disclaimer: This data is a snapshot generated from Victorian Government data. This material may be of assistance to you, but the State of Victoria does not guarantee that the publication is without flaw of any kind or is wholly appropriate for your particular purposes and therefore disclaims all liability for error, loss or damage which may arise from reliance upon it. All persons accessing this information should make appropriate enquiries to assess the currency of the data. 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: LandSAT time series and Victorian Forest Monitoring Programs field data. Dataset Originality: Primary & Derived 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Scaled RMS error (Crookston and Finley, 2008) 1.15 64.35% 
Positional Accuracy
Comments
Approximately 30m 
Conceptual Consistency
Comments
Logical 
Missing Data
Comments
Complete 
Excess Data
 
 

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cde32ff0-69fd-5754-a2bc-b2b9e4664c4d   Access to the portal Access to the portal Read here the full details and access to the data. Read here the full details and access to the data.

  Associated resources

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