The conventional sampling methods are no longer capable of satisfying the rapidly growing demand toward data and information. There has been a need for a measuring technology that provides broad opportunities of evaluating local or global processes or balances according to various aspects. Hyperspectral imaging spectroscopy, one of the most advanced technologies in optical remote sensing, but to clarify the relation between the feature-specific spectral respond of a surface or material and the studied factor large number of samples are necessary. The objective is to present the technological capabilities of remote sensing of our Institute and to show an alternative method for moisture content mapping which is adequate to collect the necessary amount of data to calibrate and validate airborne hyperspectral images for quantitative measurement of soil moisture content.