Harmonization of Hyperspectral and Multispectral Data for Calculation of Vegetation Index

Abstract—Hyperspectral analysis is a powerful tool in the precision agriculture arsenal that becomes increasingly accessible. The number of hyperspectral images obtained near the Earth surface is constantly growing. It is important to consistently use this data along with conventional data of multispectral monitoring. In this work, problem of harmonization of hyperspectral survey data obtained at the surface of the Earth and satellite multispectral monitoring data is investigated. The problem of spectral harmonization, which is insoluble in general case, is further complicated in this case by the heterogeneity of the available data. In this regard, a simplified formulation of the harmonization problem is considered, aimed at calculation of vegetation indices. A novel method has been developed that does not require pixelwise matching or calibration panels. The experimental part of the work shows that the proposed method allows significant compensation for shifts of the NDVI and WBI, observed in the absence of harmonization.