Estimate soil moisture using Hyperspectal Remote Sensing for Crops

Soil moisture is a significant parameter that controls the amount of water in land surface hydrology the water permeates into the soil and replaces the liquid table against. water quantity that contribute to outward overflow. Now a days remote sensing is being gradually used in dissimilar area like farming, forestry, weather, biodiversity and many more. Hyperspectral remote sensing provides large continues narrow wave bands with advancement in understanding the small changes in the plants and crops. Also provide their different physiological processes. This paper gives the knowledge of spectral properties of vegetation and crops, in both the visual and current range of the electromagnetic spectrum as posh using its features. Using the hyperspectral image of one region of India we find the soil moisture of that area. Here we use one software SAGA (System for Automated Geoscientific Analysis) for that.