83,772 research outputs found
Fitzpatrick, R N, WX9039
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/385347Surname: FITZPATRICK. Given Name(s) or Initials: R N. Military Service Number or Last Known Location: WX9039. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 33679.234938
Item: [2016.0049.17640] "Fitzpatrick, R N, WX9039
Fitzpatrick, R H, NX36643
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/385334Surname: FITZPATRICK. Given Name(s) or Initials: R H. Military Service Number or Last Known Location: NX36643. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 35465.234901
Item: [2016.0049.17627] "Fitzpatrick, R H, NX36643
Fitzpatrick, R A, B40744
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/385333Surname: FITZPATRICK. Given Name(s) or Initials: R A. Military Service Number or Last Known Location: B40744. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 35772.234898
Item: [2016.0049.17626] "Fitzpatrick, R A, B40744
Fitzpatrick, T R, VX23330
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/385341Surname: FITZPATRICK. Given Name(s) or Initials: T R. Military Service Number or Last Known Location: VX23330. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 13999.234922
Item: [2016.0049.17634] "Fitzpatrick, T R, VX23330
Image analysis in soil micromorphology: from univariate approach to multivariate solution
No full textPrinting S. C. Van Gil
Image analysis in soil micromorphology: from univariate approach to multivariate solution
No full textPrinting S. C. Van Gil
An expert system to predict intricate saline-sodic subsoil patterns in upland South Australia
No full text© CSIRO 2009Digital soil mapping (DSM) offers apparent benefits over more labour-intensive and costly traditional soil survey. Large cartographic scale (e.g. 1 : 10 000 scale) soil maps are rare in Australia, especially in agricultural areas where they are needed to support detailed land evaluation and targeted land management decisions. We describe a DSM expert system using environmental correlation that applies a priori knowledge from a key area (128 ha) soil–landscape with a regionally repeating toposequence to predict the distribution of saline–sodic subsoil patterns in the surrounding upland farming region (2275 ha) in South Australia. Our predictive framework comprises interrelated and iterative steps, including: (i) consolidating a priori knowledge of the key area soil–landscape; (ii) refining existing mentally held and graphic soil–landscape models; (iii) selecting suitable environmental covariates compatible with geographic information systems (GIS) by interrogation via 3D visualisation using a GIS; (iv) transforming the existing soil–landscape models to a computer model; (v) applying the computer model to the environmental variables using the expert system; (vi) performing the predictive mapping; and (vii) validation. The environmental covariates selected include: digital terrain attributes of slope gradient, topographic wetness index and plan curvature, and airborne gamma-radiometric K%. We apply selected soil profile physiochemical data from a prior soil survey to validate mapping. Results showed that we correctly predicted the saline–sodic subsoils in 10 of 11 reference profiles in the region.M. Thomas, R. W. Fitzpatrick and G. S. Heinso
Distribution and causes of intricate saline-sodic soil patterns in an upland South Australian hillslope
No full textWe describe a soil–landscape investigation conducted in a South Australian upland hillslope (128 ha) to understand the distribution and causes of saline–sodic soil patterns using convenient, ground-based geophysical surveys of the hillslope. These surveys included: (i) EM31 for deep (~6 m) apparent electrical conductivity (ECa) patterns, (ii) EM38 for shallow (>1.5 m) ECa patterns, and (iii) Bartington MS2-D loop sensor for surface volume magnetic susceptibility (κ) patterns. From these surveys we inferred hillslope distributions of: (i) deep (~6 m) concentrations of salinity associated with deep groundwater systems and deposits of magnetic gravels (dominated by maghemite and hematite) (EM31 sensor); (ii) shallow (<1.5 m) soil salinity (EM38 sensor); and (iii) preservation of pedogenic magnetic materials (e.g. maghemite and hematite) (MS2-D loop sensor). We also describe terrain analysis to locate near-surface hydropedological patterns using topographic wetness index. When combined in 3D geographic information system, strong visual matches were identified between patterns in: (i) geophysical surveys, (ii) terrain, and (iii) soil survey data, thus allowing integrated interpretations of soil–landscape pedogenic processes to be made on a whole-of-landscape basis. Such mechanistic interpretations of soil–landscape processes reveal and map intricate saline and sodic soil–regolith patterns and groundwater and fresh surface water flow paths that were not revealed during a previous traditional soil survey.M. Thomas, R. W. Fitzpatrick and G. S. Heinso
Fingolimod exacerbated affective psychosis?
No full textAlyssa Fitzpatrick, Scott R Clark, Rowena Newcombe, Anthony Davis and Bernhard T Baun
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