Understanding Soil Spectral Signature Though RS and GIS Techniques

Abstract –This paper reports the development of the soil spectral signature using Spectroradiometer form Visible Near Infrared, Short Wave Infrared and Mid-Infrared spectral reflectance of soil. Soil properties such as amount of carbon, nitrogen, phosphorus, potassium, sand, silt, and clay contains have been determined by using hyperspectral band models, in the wavelength band of 350-2500nm. Different mathematical models such as, Principal component analysis (PCA) and partial least square regression (PLSR) have widely been used to extract information regarding soil properties. This review article analyzes the reference work from 2005 to 2015