Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations

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Review of optical-based remote sensing for plant trait mapping (2013, methodology): “When the effect of leaf water content was suppressed by applying a water removal 586 technique (Schlerf et al., 2010), the accuracy of the P prediction in savana grasslands from 587 proximal sensing increased (Ramoelo et al., 2011).”
Retrieval of leaf water content spanning the visible to thermal infrared spectra (2014, background): “…analysis for estimating leaf 286 water content as it selects the most important variables for a parsimonious model (Lin et al. 2007; 287 Asner and Martin 2008; Darvishzadeh et al. 2008; Ramoelo et al. 2011) and can therefore be 288 considered in general to be more practical for such analyses.”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “Ramoelo et al. (2011) applied both regression algorithms to estimate foliar nitrogen and phosphorus in combination with continuum removal using field spectrometry.”