Fine retrieval for atmospheric components needs hyper-spectral data in basic researches. Spatial heterodyne spectroscopy (SHS) is a novel technology for analysis of hyper-spectral combing grating with Fourier transform spectroscopy. The basic concept of SHS and the flow of recovering spectrum from SHS fringes are introduced. Aiming at detection of main greenhouse gases such as CO2 , the application of SHS in atmospheric remote sensing is developed. By the ground-based remote sensing experiment, detective sensitivity of SHS system is analyzed, detective ability of hyper-spectral data for trace components is validated. The experiment results demonstrate that SHS has potential and superiority in atmospheric remote sensing, especially in trace components’s detection.