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Predicting Salinity in the Upper Kent River Catchment

Evans, F.H.ORCID: 0000-0002-7329-1289, Caccetta, P., Ferdowsian, R., Kiiveri, H.T. and Campbell, N.A. (1995) Predicting Salinity in the Upper Kent River Catchment. Land and Water Resources Research and Development Corporation

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Abstract

This interim report summarises the work and findings to date of a project funded by the Land and Water Resources Research and Development Corporation on ‘Integrating Remotely Sensed Data With Other Spatial Data Sets to Predict Areas at Risk from Salinity’.

The aim of the study is to evaluate methods for predicting areas at risk from salinity. This will be done by:

(i) quantifying current expert knowledge;
(ii) compiling and acquiring existing primary data sets;
(iii) producing derived data sets;
(iv) assembling the primary and derived data sets in a Geographical Information System (GIS);
and
(v) developing methods for integrating remotely sensed data with other spatial data sets to
provide a basis for predicting areas at risk from salinity in the landscape.

The outputs from the project are:

(i) a database of salinity-related maps for the Upper Kent River catchment;
(ii) historical and present salinity maps;
(iii) maps showing areas at risk of salinity; and
(iv) an interactive probabilistic network for assessing salinity risk.

The results show that historical and present salinity maps, and maps showing areas at risk of future salinity, may be produced using remotely sensed data integrated with several computer-derived terrain attributes. These terrain attributes can be easily derived from digital elevation data.

Rule-based classifiers and probabilistic networks are used to produce salinity and salinity risk maps. The probabilistic networks can also be used as an interactive decision support tool to assess the effects of what if scenarios.

Item Type: Report
Series Name: A report from the LWRRDC project. Integrating Remotely Sensed Data With Other Spatial Data Sets to Predict Areas at Risk from Salinity
Publisher: Land and Water Resources Research and Development Corporation
URI: http://researchrepository.murdoch.edu.au/id/eprint/56764
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