Farm Dam Points
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  Farm Dam Points

dataset: FARM_DAMS_POINT
This dataset contains the digitised centroids of smaller man made waterbodies (including farm dams) in northern Victoria using a combination of satellite and aerial imagery. Should be used in conjunction with FARM_DAMS. This data was updated in January 2019 to improve the usefulness of the attribute data.
 
Citation proposal Citation proposal
(2019)

Farm Dam Points

Department of Energy, Environment and Climate Action

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/59afb9fd-45be-51e2-8b2b-f8bee2ccf90a
 

Details

Contacts

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

  Point of contact

Department of Energy, Environment and Climate Action - Hydrology and Climate Science  
8 Nicholson St
East Melbourne
Vic
3002
Australia
 

Identifiers and Keywords

ANZLIC Id
ANZVI0803005373 
Victorian Spatial Data Library (VSDL) Schema
WATER:FARM_DAMS_POINT 
Jurisdiction
Victoria 
Topic category
  • Inland waters
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
Creative Commons Attribution 4.0 (CC-BY)
  • License Text
 

Other Dataset Details

Date ( Revision )
2019-01-30
Date ( Publication )
2019-01-15T00:00:00
Status
Completed  
Purpose
Use FARM_DAMS in conjunction with FARM_DAM_POINTS to visualise all man made waterbodies, including farm dams, across Victoria. This dataset based developed using source imagery captured approximately 2004 to 2010. 

Text

No information provided.
Maintenance and update frequency
Not planned  
Maintenance date ( Publication )
2019-01-15T00:00:00
 

Spatial

Spatial representation type
Vector  
Description
General - Victoria 
Reference system identifier
4283

N
S
E
W


 

Temporal

Begin date
2005-01-01 
End date
2012-02-17 
 

Quality

Conceptual Consistency
Not Known 
Missing Data
Under the data collection specification for the original GA data, features were collected as either polygons or points depending on their visible area. The smallest features were collected as points and all other features were collected as polygons. Under the data collection specification for the Victorian data, all features were collected as polygons. Consequently, FARM_DAMS includes all waterbodies in southern Victoria and all larger waterbodies in northern Victoria. FARM_DAMS_POINT includes all smaller waterbodies in northern Victoria. FARM_DAMS and FARM_DAMS_POINT data sets should be used in combination to represent all features across the state. 
Excess Data
Not Known 
Attribute Quality
Not Known 
Positional Accuracy
Not Known 
 

Lineage

Statement
Dataset Source: The FARM_DAMS and FARM_DAMS_POINT datasets combined include all man made water bodies in Victoria. Note that the term farm dams may be misleading - these layers represent all man made waterbodies, some of which are not necessarily for agricultural purposes. In addition, some may be natural features such as wetlands or lakes which were indistinguishable from man made waterbodies in the aerial imagery, and some may be large reservoirs. The State Government of Victoria commissioned a study to determine the location and impact of farm dams within Victoria. A large part of this study was the location and digitising of farm dam boundaries. For the sections of Northern Victoria within the Murray Darling Basin, these boundaries were created for a Geoscience Australia (GA) project. However, the data of capture for these dams is 2005 +/- 12 months. To address the data gaps in southern Victoria, all farm dam boundaries outside of the Murray Darling Basin were digitised to the same specifications as the GA data, using imagery from 2009/10. In addition, a sample area of approximately 6000 km2 was chosen in the MDB to investigate the level of change in farm dam development between 2005 and 2009. Update December 2018: The FARM_DAMS and FARM_DAMS_POINT layers were updated with improved attributes. The spatial data is unchanged, but attributes have been extended and field names changed to make the layers more useful. The new field names include: CURRENCY (approx date of source imagery) PLAN_ACCUR (approx planimetric accuracy) FEATSOURCE (data source used for digitising) BASIN (river basin) SDL_ID (matching SDL catchment identifier based on SDL_CATCH layer) VOL_ML_EST (estimated full capacity of dam im megalitres based on formula Vol = (SurfArea^1.32)/9600) SURFAREAM2 (surface area in square metres - for point features this surface area has been randomly assigned) FEAT_TYPE (feature type) ORIG_OBJID (unique identifier used as part of hydrological modelling for the Victorian Water Accounts) VIC_DAM_ID (unique identifier used as part of hydrological modelling for the Victorian Water Accounts) FARMDAM_YN (Yes or no flag to identify features which are genuine farm dams (Y) or features which are other man made waterbodies such as large reservoirs or treatment plant ponds (N)) RUNOFF_DAM (Yes or no flag to identify features which primarily harvest water from local surface runoff (Y) or which harvest water from other sources such as irrigation pipelines(N)) Dataset Originality: Primary 
 

Attributes

Column Name Obligation Unique Data Type Data Length Data Precision Data Scale Reference Table Owner Reference Table Name Reference Table Code Column Name Short Column Name Definition
FEAT_TYPE O N VARCHAR2 50 FEAT_TYPE
ORIG_OBJID O N NUMBER 22 10 0 ORIG_OBJID
BASIN O N VARCHAR2 50 BASIN
SURFAREAM2 O N NUMBER 22 38 8 SURFAREAM2
RUNOFF_DAM O N VARCHAR2 3 RUNOFF_DAM
PLAN_ACCUR O N VARCHAR2 50 PLAN_ACCUR
SDL_ID O N NUMBER 22 10 0 SDL_ID
CURRENCY O N VARCHAR2 50 CURRENCY
FARMDAM_YN O N VARCHAR2 3 FARMDAM_YN
FEATSOURCE O N VARCHAR2 50 FEATSOURCE
VIC_DAM_ID O N VARCHAR2 50 VIC_DAM_ID
VOL_ML_EST O N NUMBER 22 38 8 VOL_ML_EST
 

About the Metadata Record

Metadata identifier
urn:uuid / 59afb9fd-45be-51e2-8b2b-f8bee2ccf90a

  Processor

DEECA - Spatial, VDP  

Contact  

No information provided.
Resource Type
Dataset  
Date info ( Creation )
2024-03-22T14:26:49
Date info ( Revision )
2025-11-25T14:08:08
Standard Name
ISO 19115-3:2018 
Profile Name
DELWP Profile 
Profile Version
Version 1 
Profile Date
2019-05-24  
 

Metadata Constraints

Classification
Unclassified  
 
 

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