Index of Estuarine Condition Submerged Vegetation Data

dataset: IEC2021_SUB_VEG
IEC2021_SUB_VEG is the spatial representation of submerged vegetation used in the calculation of Index of Estuarine Condition (IEC) scores. In the context of the IEC, 'submerged vegetation' refers to aquatic plants attached to bottom sediments that are generally entirely submerged but may be exposed during very low tides. Field data was collected at various locations within the estuary to ground-truth the mapping of full coverage derived from available aerial imagery. The field data was collected in late spring, summer and early autumn to correspond with warmer water temperatures and longer photoperiods, and to avoid winter periods of submerged vegetation dieback. In the field, ground-truthing by taking photos of the benthic environment largely followed the protocols outlined in Woodland and Cook (2015). If the estuarine bed was visible, photographic samples were collected of the different vegetation types present. Coverages of these different vegetation types (e.g. dense, sparse) were also photographed as well as bare ground. Ground-truthed benthic images were mapped over high-resolution (<20 cm) aerial imagery sourced from the DELWP imagery archive. Only imagery later than 2010 was considered, with most of the imagery used captured later than 2015. RPAS imagery collected for some estuaries was geo-rectified and mosaicked to provide very high-resolution imagery for mapping. Mapped areas were then compared to the geo-referenced ground-truthed benthic images and assigned a vegetation-coverage class and an indication of classification confidence (High, Medium or Low). For each estuary, MA:TV was then derived from the ratio of total macroalgae area to total vegetated area (i.e. seagrass and macroalgae) as per Woodland and Cook (2015). Briefly, vegetated habitat areas were weighted by their coverage classes such that polygons assigned `sparse¿medium¿ coverage were considered to contain 50% vegetation, and those assigned as `dense¿ coverage were considered as 100% vegetated. The ratio of macroalgae to total vegetation (MA:TV) was calculated as the sum of the weighted macroalgae areas divided by the sum of the weighted seagrass and macroalgae areas. MA:TV ranges from 0 to 1.
 
Citation proposal Citation proposal
(2021)

Index of Estuarine Condition Submerged Vegetation Data

Department of Energy, Environment and Climate Action
 

Description

Title
Index of Estuarine Condition Submerged Vegetation Data 
Alternate title
IEC2021_SUB_VEG 
Resource Type
Dataset  
Purpose
Component of the Index for Estuarine Condition 
Supplemental Information
Related Documents: None 
Status
Completed  
 
 

Temporal

Time period
2017-01-242019-02-08 
 
 

Spatial

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


 

 

Maintenance

Maintenance and update frequency
Not planned  
 
 

Format

 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Inland waters
  • Oceans
 
 

Resource Constraints

Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: Field sub sampling and digitisation from high resolution aerial imagery conducted by the Arthur Rylah Institute. Classifications sourced from Pope, A., J. Barton, and G. P. Quinn. 2015. Victorian Index of Estuary Condition: Implementation Trial Final Report. Warrnambool, Victoria. Dataset Originality: Primary & Derived 
Description
Source description not available 
Description
Source description not available 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Vegetation classifications are outlined in Pope et al (2015) and derived from field sub sampling and high resolution aerial imagery 
Positional Accuracy
Comments
Polygons are derived from references to multiple sources of high resolution aerial imagery during time periods suitable to field sampling events. 
Conceptual Consistency
Missing Data
Comments
Statewide Completeness Verification: - 
Excess Data
Comments
- 
 
 

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