This paper proposes a reversible data hiding (RDH) technique designed for hyperspectral images (HSI) in ENVI format, enabling lossless embedding of binary data while preserving spectral integrity. The hyperspectral dataset used in this study was acquired using a Specim IQ camera, covering a spectral range of 400-1000 nanometers, providing high-resolution imagery across 204 contiguous spectral bands. The method identifies an optimal band for embedding by selecting one with minimal overflow risk and maximum pixel repetition. In our study, Band 186 with pixel value 246 was chosen, allowing precise control during embedding. Binary data is embedded by incrementing the frequent pixel (246) to 247 for bit ‘ 1 ‘ and leaving it unchanged for bit ‘ 0 ‘. To prevent pixel collision, values above 246 are preshifted by +1. The extraction process restores both the embedded data and original image by traversing the band in raster order and reversing the modifications. Experimental validation includes pixel-level matrix comparisons, difference heatmaps, and 3D visualizations, confirming complete recovery of both data and image. The approach demonstrates 100% reversibility and zero distortion, making it ideal for secure and sensitive applications in remote sensing and surveillance.