Hyperspectral LiDAR （HSL） is an emerging active sensing technique that can simultaneously acquire spectral and spatial information for quantitative remote sensing applications. However， most existing HSL systems acquire spectral and spatial information point by point， which limits the acquisition of image-like hyperspectral data and dense 3D point clouds. In this paper， the authors presented a hyperspectral imaging LiDAR system based on a chip-scale single-photon avalanche diode （SPAD） array （768 × 576） and a supercontinuum laser source （SPAD-HSL）. A focus-tunable emitting system was designed to provide broadband illumination， while a SPAD-array-based receiving system was developed to enable wavelength-selective detection using optical filters. Based on the proposed SPAD-HSL system， hyperspectral measurements were conducted on a total of 12 leaf samples， including 5 species and various physiological states， under different detection distances and angles. The acquired spectral data were subsequently compared with spectrometer measurements， demonstrating that the proposed system enables active hyperspectral imaging acquisition and achieves high spectral consistency.