Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data

Because of its significant absorption power, particularly in the SWIR optical region (e.g., absorption features around 1400 and 1900 nm), water dominates the optical reflectance properties of water-bearing materials. This allows us to study a material’s water-related features, such as its moisture content from optical reflectance. In this study, we proposed a framework to estimate soil moisture content from hyperspectral remote sensing data. Validation is performed on Hyperion hyperspectral satellite imagery and ground-truth data from the Soil Moisture Network database.