Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization

• Published in: Remote sensing of environment 2002-06, Vol.80 (3), p.406-417
• Main Authors: Dehaan, R.L, Taylor, G.R
• Format: Article
• Language: English
• Subjects: Applied geophysics; Areal geology. Maps; Australia, Murray-Darling Basin; Earth sciences; Earth, ocean, space; Exact sciences and technology; Geologic maps, cartography; Internal geophysics; Soils; Surficial geology
• ISSN: 0034-4257; 1879-0704
• DOI: 10.1016/S0034-4257(01)00321-2

Salinization is a major cause of soil degradation in the Murray–Darling Basin of Australia. The objective of this research is to evaluate the utility of field-derived spectra of saline soils and related vegetation for characterizing and mapping the spatial distribution of irrigation-induced soil salinization. A FieldSpec FR hand-held spectrometer was used to measure the spectra of a range of salinized soils and associated vegetation. Strategies for mapping field-derived spectra using hyperspectral (HyMap) imagery were assessed, and a continuum-removed Spectral-Feature-Fitting (SFF) approach adopted. Field-derived spectra of the vegetation comprising of samphire, sea blite, and native grass species are also useful indicators of salinization; however, their absence is not necessarily an indicator of healthy soils. Distribution maps created using the SFF method and a restricted wavelength range of field-derived spectra provide an accurate record of the distribution of both vegetation and soil indicators of salinization at the time of image acquisition. Salinized soil and vegetation indicator class maps show a similar spatial distribution to soil salinization as mapped by ground-based geophysical surveys.