Data

Draft_LSIO_2019

data.gov.au
Mitchell Shire Council (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/b8ce1f07-9b32-474b-b921-4c5720066dfe&rft.title=Draft_LSIO_2019&rft.identifier=draft_lsio_2019&rft.publisher=data.gov.au&rft.description=WGS84Draft_LSIO_2019.zip - An ESRI shp file showing the location of the proposed LSIO overlay for the towns of Seymour and KilmoreDraft_LSIO_2019 - Preview this Dataset (WMS) - View the data in this dataset online via an online mapDraft_LSIO_2019 Web Feature Service API Link - WFS API Link for use in Desktop GIS toolsDraft_LSIO_2019 GeoJSON - For use in web-based data visualisation of this collectionMap layer showing the draft LSIO (Land Subject to Inundation Overlay) for the towns of Seymour and Kilmore.&rft.creator=Mitchell Shire Council&rft.date=2024&rft.coverage=2860 sq km&rft.coverage=144.917777,-37.347658 144.917777,-37.003537 145.217628,-37.003537 145.217628,-37.347658 144.917777,-37.347658&rft_rights=Creative Commons Attribution 3.0 Australia http://creativecommons.org/licenses/by/3.0/au/&rft_subject=Inland waters&rft_subject=Kilmore&rft_subject=LSIO overlay&rft_subject=Seymour&rft_subject=mitchell shire&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 3.0 Australia
http://creativecommons.org/licenses/by/3.0/au/

Brief description

Map layer showing the draft LSIO (Land Subject to Inundation Overlay) for the towns of Seymour and Kilmore.

Full description

WGS84Draft_LSIO_2019.zip - An ESRI shp file showing the location of the proposed LSIO overlay for the towns of Seymour and Kilmore
Draft_LSIO_2019 - Preview this Dataset (WMS) - View the data in this dataset online via an online map
Draft_LSIO_2019 Web Feature Service API Link - WFS API Link for use in Desktop GIS tools
Draft_LSIO_2019 GeoJSON - For use in web-based data visualisation of this collection

This dataset is part of a larger collection

Click to explore relationships graph

144.91778,-37.34766 144.91778,-37.00354 145.21763,-37.00354 145.21763,-37.34766 144.91778,-37.34766

145.0677025,-37.1755975

text: 2860 sq km

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers