Vol. 12, Special Issue 9 (2023)

Author(s):
Devid Kumar Sahu, Homeshvari, Vishakha Rai, Vivek Singh and Sunil Kumar Upadhyay

Abstract:
Minimizing environmental consequences and enhancing crop yield are based on soil chemical, physical, and mineralogical properties. Traditional procedures, on the other hand, are time consuming and costly. Soil property mapping must be done quickly and accurately for agricultural, forestry, and environmental management. In addition to mapping and classifying soil, hyperspectral remote sensing can also be utilized for texture descriptions. The aim of this work is to extend and analysis an alternate approach for assessing soil parameters utilizing UV-Vis-NIR spectroscopy to existing soil analysis methods. Optical remote sensing analyzes variable electromagnetic radiation (spectral characteristics) reflected from various targets on the Earth's surface in the visible spectral area, namely near infrared, shortwave infrared, and thermal infrared (0.4 to 14 microns). The analysis and evaluation of reflected radiation detected by a large number of narrow, contiguous, and continuous spectral bands is the basis of hyper spectral remote sensing. It is also known as imaging spectroscopy. Imaging spectrometers' detailed spectrum characterization of surface absorption patterns allows robust inversion methods to be utilized to recover biological and geochemical information about the captured area.