Combined Active and Passive Remote Sensing Methods for Assessing Soil Salinity

Estimation of soil hydraulic properties using proximal spectral reflectance in visible, near-infrared, and shortwave-infrared (VIS–NIR–SWIR) region

“…Future work is needed to examine if the STFs may be developed from undisturbed soil samples. Second, it may be possible that the transfer functions for soil hydraulic properties may be developed from the signatures of noninvasive methods such as FDEM and GPR sensors, which can measure soil properties in deeper soils (Ben Dor et al, 2008). Furthermore, the six wave bands selected for the analysis of the proximal reflectance data are the wave bands used in the ETM+ sensors onboard remote sensing satellites.…”

Towards decadal soil salinity mapping using Landsat time series data

“…It is accepted that passive remote sensing can only sense the superficial soil, while subsoil salinity may be a major cause of yield reduction particularly over dryland regions (Rengasamy et al, 2003). However, there has reported a relation between topsoil and subsoil salinity (Ben-Dor et al, 2008;Guo et al, 2013). Thus, satellite derived soil salinity may have an implication for subsoil salinity, which can be a concern for agriculture.…”

“…As an alternative to visual interpretation, computer aided classification requires more spectral bands but less expert knowledge (Guan et al, 2001;Elnaggar and Noller, 2009;Muller and van Niekerk, 2016). In a quantitative fashion, soil salinity can be estimated from sensitive indices, including the salinity index (SI) composed of red (R) and green (G) bands (Douaoui et al, 2006;Odeh and Onus, 2008), and the vegetation index composed of red and near-infrared (NIR) bands (Ben-Dor et al, 2008;Hamzeh et al, 2013;Allbed et al, 2014), and the index composed of short-wave infrared (SWIR) bands (Bannari et al, 2008;Weng et al, 2010). With these indices, Wu et al (2014) have studied thirty years of soil salinity changes in Central Iraq.…”

Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques

“…Salts influenced surface features are crusts without or with only a little evidence of salt; thick salt crusts and puffy structures. Salt causes variations in the surface roughness which induces variation in the soil spectral reflectance [4,5,63]. Most salt-affected soils can be identified by a white salt crust that will form on the soil surface; thus, these soils tend to increase spectral reflectance [64][65][66].…”