Data
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://discover.data.vic.gov.au/dataset/modelled-old-growth-forest&rft.title=Modelled old-growth forest&rft.identifier=http://discover.data.vic.gov.au/dataset/modelled-old-growth-forest&rft.publisher=data.vic.gov.au&rft.description=The MOG spatial dataset shows the modelled extent of Old Growth Forest in Victoria. This spatial layer is based on the MOG2009, with reduced extent based on disturbances from fire and timber harvesting up to July 2018. Coming soon - The addition of Light Detection and Ranging (LiDAR) data for parts of the Central Highlands and East Gippsland will be added progressively through 2019-20. The addition of these LiDAR derived classifications to the MOG dataset, will provide Victoria's most complete and up to date assessment of Victoria's modelled old growth forest extent.&rft.creator=Anonymous&rft.date=2019&rft_rights=Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/&rft_subject=Biota&rft_subject=Farming&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/

Access:

Open

Brief description

The MOG spatial dataset shows the modelled extent of Old Growth Forest in Victoria. This spatial layer is based on the MOG2009, with reduced extent based on disturbances from fire and timber harvesting up to July 2018.

Coming soon - The addition of Light Detection and Ranging (LiDAR) data for parts of the Central Highlands and East Gippsland will be added progressively through 2019-20. The addition of these LiDAR derived classifications to the MOG dataset, will provide Victoria's most complete and up to date assessment of Victoria's modelled old growth forest extent.

Created: 2019-11-15

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

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

Identifiers
ACN 633 798 857