Classification and use of landform information to increase the accuracy of land condition monitoring in Western Australian pastoral rangelands
| dc.contributor.author | Wilson, Deanna Marie | |
| dc.contributor.supervisor | Ashraf Dewan | en_US |
| dc.date.accessioned | 2019-07-25T03:58:34Z | |
| dc.date.available | 2019-07-25T03:58:34Z | |
| dc.date.issued | 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/76065 | |
| dc.description.abstract |
The aim of this research was to develop land unit scale data to assist land condition monitoring projects in pastoral rangelands in Western Australia. Landforms are a major components of land units and methods were explored to include landforms as a variable in land unit predictive modelling. Three land unit prediction models were tested, a Binary Weighted Overlay (BWO), a Fuzzy Weighted Overlay (FWO) and a Positive Weights of Evidence (PWofE) model. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Classification and use of landform information to increase the accuracy of land condition monitoring in Western Australian pastoral rangelands | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Earth and Planetary Sciences | en_US |
| curtin.accessStatus | Open access | en_US |