Land units of the Victorian Wimmera
dataset:
WIMMERA_LRA
This dataset is the primary data output from the Wimmera land resource assessment project undertaken in 2004-06. It contains soil and land information at a scale of 1:100 000 for all freehold land in the Wimmera region of Victoria.
The dataset was developed by the project "A Land Resource Assessment of the Wimmera Region" conducted by Robinson et al. (2006). This project was undertaken by DPI's PIRVic Division for the Wimmera Catchment Management Authority to provide consistent land resource information across the region. It utilised data from existing soil surveys at varying scales and intensity conducted over the previous 60 years, remote sensing information and additional field work to develop updated 1:100 000 scale soil/landform mapping across the region.
The nominal scale of the dataset is appropriate for broadscale assessment of land capability and regional planning.
At the map scale of this dataset soil-landform units are not homogeneous. For each defined soil-landform unit, soil types were identified and an assessment of their risk of degradation (compaction, erosion, sodicity and acidity) was made.
Importantly it should be noted that soil attributes (for example texture, sodicity, pH) are expected to vary between acquired soil sites. As the variability of soil attributes within a map unit is difficult to predict, it is important to note that representative soils should be used as a guide only.
The study report describing the project methodology and dataset attributes is available from the Victorian Resources Online website.
DOI 10.4226/92/58e729e8aea3e
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Citation proposal Citation proposal
(2019) Land units of the Victorian Wimmera Department of Jobs, Precincts and Regions https://uat-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/a3fd9476-587b-517e-8b4d-0d0128c4a1ed |
Description
- Title
- Land units of the Victorian Wimmera
- Alternate title
- WIMMERA_LRA
- Purpose
- ....
- Status
- Completed
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- Geoscientific information
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a3fd9476-587b-517e-8b4d-0d0128c4a1ed
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