Since the launching of the LANDSAT-8 satellite

the U.S. Geological Survey has released LANDSAT-8 standard scene products around the globe based on worldwide reference system. However

the coverage areas of a standard scene product are too small to satisfy regional remote sensing application

which needs long strip satellite products. The conventional method to obtain long strip satellite product is process-and-mosaic

which brings several problems

such as seam line problem and low processing efficiency. A novel LANDSAT-8 long strip satellite data processing method is proposed to solve the shortages of the conventional method. The proposed method was divided into three steps. First

in the preprocessing stage

auxiliary data were checked

and the imagery and the auxiliary data of LANDSAT-8 long strip satellite data were matched according to the uniqueness of data acquisition time. Second

in the radiometric correction stage

temperature sensitivity correction factor was introduced to eliminate the disproportion in brightness in LANDSAT-8 long strip satellite imagery

and a smoothing algorithm was proposed to avoid the seam line problem inside LANDSAT-8 long strip satellite imagery. Third

in the geometric correction stage

achieving high-precision georeferencing from LANDSAT-8 long strip products was needed for provision of good quality exterior orientation elements. Several algorithms were adopted to refine exterior orientation elements (mainly include orbit data and attitude data). Data verification algorithm were employed to identify and eliminate failure exterior orientation elements. Smooth filtering and Lagrange interpolation algorithm were used to keep continuity of orbits data. Orbital motion affections in gory data were removed

and Kalman filtering algorithm was introduced to obtain high accuracy of attitude data by combining it with the original attitude data. Experiments are designed and conducted on three sets of LANSDSAT-8 long strip satellite data

which were obtained in different time intervals and had different sizes. The conventional process-and-mosaic method were applied for comparison. Experimental results showed that the long strip satellite products produced by the proposed method obtain geometric accuracy same as those of the products produced by conventional method. Moreover

the long strip satellite products produced by the proposed method have no seam line problems. In addition

the efficiency comparison of two methods showed that the processing efficiency of proposed method increased by 45.9% on average. The proposed method achieves high-quality long strip satellite imagery with a high efficiency than the conventional method

thereby greatly satisfying the needs of regional remote sensing applications.