Agreed with Warin and Ewen. I'd like to point out the AGRI imagery [1], yes it's old (2006-2011), black and white, and missing parts of the imagery due to cloud and seams, but it may help as an extra source to compare. It's good enough to make out rivers and it should be accurate positionally since it was validated with ground surveys. CC BY 4.0 and usable in OSM from the blanket Geoscience Australia wavier[5].
GA also has a Surface Hydrology dataset [2] [3] [4] which could be used as well. Some features are better tagged as a wetland https://wiki.openstreetmap.org/wiki/Tag:natural%3Dwetland. Local knowledge is always prefered, but so long as features mapped from local knowledge are not impacted, something mapped from other sources is better than nothing, which can be improved further by local knowledge. I'm interested to know more about the alignment issues when they meet the coast, is there a specific example of where this needs work at the moment in OSM? PS. Microsoft's Open Maps team has similar tasks at https://github.com/Microsoft/Open-Maps/issues/14 and https://github.com/Microsoft/Open-Maps/issues/11 [1] https://github.com/osmlab/editor-layer-index/blob/gh-pages/sources/australia/au/AGRIblack-and-white25m.geojson?short_path=4ca9ae8 [2] https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search?node=srv#/metadata/1186e898-14b5-812e-e053-10a3070a76f0 [3] https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search?node=srv#/metadata/12777e32-ec4f-055a-e053-10a3070a2ce2 [4] https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search?node=srv#/metadata/123f4803-04d7-32d1-e053-12a3070a99ac [5] https://wiki.openstreetmap.org/wiki/File:GeoscienceAustralia_CCBY_Waiver_EmailAcceptance.pdf
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