Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied:

Distribution and abundance of seagrass, mangrove and saltmarsh the Hunter Subregion

Dataset History

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Data Collection Method: Aerial photography interpretation.

Data Set Source: The data has been prepared from Land and Property Information photo runs.

Source Material Input Scale: 1:25 000

Additional Processing Steps: The aerial photographs were scanned into TIFF format files and imported into ERDAS IMAGINE as image files for orthorectification. The digital images were orthorectified using a Digital Elevation Model and Digital Topographic Database provided by Land and Property Information. Seagrass, mangrove and saltmarsh boundaries were digitised and edited in ArcGIS

All data was mapped at a scale of 1:1500 derived from orthorectified aerial photographs with a positional accuracy of less than 10 metres.

Vegetation boundaries were identified on orthorectified aerial photographs. Boundary location and species identification were verified in the field. Families or in some case species of vegetation were mapped in the following categories:Posidonia australis Zosteraceae (including Zostera capricorni, Zostera muelleri and Heterozostera tasmanica), Halophila spp. Ruppia megacarpa, mangrove (Avicennia marina, Aegiceras corniculatum, and saltmarsh (all species combined). Area calculations were determined in ArcGIS.

All polygons were visibly checked for accurate class allocation, all polygons are labeled. All polygons are topologically consistent

Completed 2009 for the attributes listed in the estuary of the study.

Dataset Citation

NSW Department of Primary Industries (2016) Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/fb7bf5a0-f0e3-429b-9b54-0d4b58fb49c2.