Hyperspectral data can be used for various environmental monitoring such as
Water quality monitoring: Approximating and forecasting water variables like phosphorus, nitrogen, chlorophyll, dissolved organic matter, and turbidity are of supreme importance due to their strong influence on water resource quality. Hyperspectral imaging uses reflectance in hundreds of narrow spectral bands, can be used to estimate water quality parameters over larger water bodies.
Land cover classification in parcel level (material identification)
Detection of roof material and conditions of different types of roofs is very valuable. Knowledge of the different types of materials can help in certain applications, such as determining runoff quality, disaster preparedness, and urban heat island assessment. In recent years, hyperspectral data has provided a powerful tool for multi-scale and rapid monitoring of impervious surfaces.