The purpose of the research is to develop a methodology for testing the camouflage fabrics using hyperspectral data. The fabrics used in the research have been overexploited and have been subjected to a variety of chemicals. The research is aimed at answering how and how often the masking fabrics should be examined, what processes eliminate the fabric from their camouflage functions and at what time the regular use disqualifies a given fabric from further use. The research was conducted in the laboratory conditions. For the study, VNIR hyperspectral camera was used, produced by Headwall. In the presented study, selected camouflage fabric samples were used. They were exposed to long-lasting effects of various atmospheric conditions, such as sunrays, rain, snow, etc. The time of exposure of textiles and the type of conditions was monitored. In addition, samples were used that were subjected to the action of various chemicals, e.g. chlorine. Chemicals applied in the research are widely used for cleaning fabrics. The influence of chemicals other than those commonly used in textile maintenance has not been verified. Based on the hyperspectral imagery data, the spectral reflectance characteristics of processed samples were retrieved. Next, developed spectral indices were applied in order to determine the degree of ageing. Additionally, hyperspectral images of used material samples have been subjected to a classification process using spectral reflectance characteristics of brand new materials. This allowed to determine the divergence between the samples and determining the degree of destruction of samples, depending on the ageing processes used. Trends were set, and the conditions and activities were eliminated from the use of fabrics. Finally, based on the obtained results, methodologies for testing the camouflage fabrics and determining their usefulness were developed.