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Environmental monitoring using a time series of satellite images and other spatial data sets

Kiiveri, H., Caccetta, P., Campbell, N., Evans, F.ORCID: 0000-0002-7329-1289, Furby, S. and Wallace, J. (2003) Environmental monitoring using a time series of satellite images and other spatial data sets. In: Denison, D.D., Hansen, M.H., Holmes, C.C., Mallick, B. and Yu, B., (eds.) Nonlinear Estimation and Classification. Springer, pp. 49-62.

Link to Published Version: https://doi.org/10.1007/978-0-387-21579-2_4
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Abstract

As a result of extensive farmland clearing over the last hundred years or so, dry-land salinity is a major problem in Western Australia. In fact, in some parts of the state, over 20 percent of Agricultural land is no longer productive. Prior to the work to be described in this chapter, no reliable large scale estimates of the extent or progression of salinity were available. This chapter describes a methodology for monitoring the historical extent of salinity, using a time series of satellite imagery, landform information derived from digital elevation models and ground truth data collected by experts with local knowledge. This work has served to highlight the salinity problem to decision makers in government and to provide input into the process of developing and applying remedial measures to arrest the spread of salinity.

Item Type: Book Chapter
Publisher: Springer
Copyright: © 2003 Springer Science+Business Media New York
URI: http://researchrepository.murdoch.edu.au/id/eprint/56740
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