4. Conclusion
This study concludes a decreasing trend of spectral reflectance with
increasing levels of salinity for SAS. The best probable wavelengths
were identified that showed potential absorption characteristics to
predict soil properties. Overall, hyperspectral remote sensing (350-2500
nm) showed acceptable to excellent prediction accuracy for soil pH, EC,
BD, N, Mg, Zn and B. For SOC, P, K, Na, Ca, S, Fe, Mn and Cu, the
prediction results were non-reliable. The best prediction was obtained
for soil salinity (electrical conductivity). Multivariate techniques
like SVR, PLSR and PCR were found more robust compared to MARS and RF
for prediction of properties in SAS.
Conflict of interest: There is no conflict of interest