Metadata Name Descriptions
Resource Name: IEC2021_SUB_VEG
Title: Index of Estuarine Condition Submerged Vegetation Data
Anzlic ID: ANZVI0803008717
Custodian:
Abstract:
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.
Search Words: Inland watersOceans
Publication Date: 04 September 2021
Dataset Status: Statewide Completeness Verification: -
Progress: Completed
Access Constraint:
Creative Commons Attribution 4.0 (CC-BY) ( License Text )
Data Existence:
Metadata Name Descriptions
Resource Name: IEC2021_SUB_VEG
Title: Index of Estuarine Condition Submerged Vegetation Data
Anzlic ID: ANZVI0803008717
Custodian:
Owner:
Jurisdiction: Victoria
Abstract:
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.
Search Words: Inland watersOceans
Purpose:
Component of the Index for Estuarine Condition
Geographic Extent Polygon:
Geographic Bounding Box:
-34
141 150
-39
Beginning to Ending Date: 2017-01-24 - 2019-02-08
Maintainence and Update Frequency: Not planned
Stored Data Format:
Available Format(s) Types: Digital
Positional Accuracy:
Polygons are derived from references to multiple sources of high resolution aerial imagery during time periods suitable to field sampling events.
Attribute Accuracy:
Vegetation classifications are outlined in Pope et al (2015) and derived from field sub sampling and high resolution aerial imagery
Logical Consistency:
                        
Data Source:
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
Contact Organisation:
Contact Position:
Address:
Telephone:
Facsimile:
Email Address:
Metadata Date: 2021-10-15
Additional Metadata:
                            
                              Related Documents: None
                            
                          
Column Name Obligation Unique Data Type Reference Table Comments
IEC_CONDITION_CATEGORY O N VARCHAR2
SE_ANNO_CAD_DATA O N BLOB
ALT_NAME O N VARCHAR2
EUID O N NUMBER
EZY_NAME O N VARCHAR2
DATE_CREATED O N DATE
IEC_SCORE O N VARCHAR2
SOURCE O N VARCHAR2
SUBVEG O N VARCHAR2
SV_DENSITY O N VARCHAR2
ESTUARY O N VARCHAR2