Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Predicting salinity in the Wadjekanup and Byenup Hill catchments

Evans, F.ORCID: 0000-0002-7329-1289, Ferdowsian, R. and Campbell, N.A. (1996) Predicting salinity in the Wadjekanup and Byenup Hill catchments. Land and Water Resources Research and Development Corporation

[img]
Preview

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. Previous work, conducted in the Upper Kent River study area, involved the quantification of current expert knowledge, the compilation of existing primary data sets for the study area and the derivation of appropriate derived data sets. Decision tree and conditional probabilistic network methods were used to integrate remotely sensed data with other spatial data sets to predict areas at risk from salinity. The outputs from the project included historical and present salinity maps, and a map showing areas at risk from future salinity. The results showed 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.

The Wadjekanup and Byenup Hill catchments have been selected as a second study area for the Predicting Salinity project, so that the implications of using airborne geophysical data for salinity prediction can be assessed. Airborne radiometrics, magnetic and electromagnetic (SALTMAP) data have been collected over the study area by World Geoscience Corporation (WGC).

The project aims to produce the best possible salinity predictions using Landsat TM and DEM-derived data sets alone, as a base-line for comparing predictions that used the airborne data as an input.

This interim report describes the methods used to produce the base-line salinity change and prediction maps.

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/56762
Item Control Page Item Control Page

Downloads

Downloads per month over past year