The Landsat-8 satellite applies the linear array push-broom method to obtain imagery and then processes the captured image by scene to generate standard scene production.The demand for wide-area remote sensing data is increasing

and long strip satellite data have high application value.Long strip satellite data are typically acquired by mosaicking several standard scenes of orthographic production.However

this classical method results in low efficiency and may fail to acquire long strip satellite orthographic production in the presence of too much clouds.A novel orthographic method for Landsat-8 long strip satellite imagery is proposed in this study to overcome the shortcomings of the conventional method. The proposed method is conducted in the unit of the entire long strip satellite imagery

and long strip orthographic production is generated directly without image mosaicking.The entire procedure can be divided into three steps:ground control point correlation

long strip geometric precise correction

and ortho-rectification.First

ground control points are correlated with the long strip systematic imagery using the normalized cross-correlation method.The GLS2005 control point database is stored by scene;hence

control points in every scene are reprojected based on the long strip UTM zone code and merged to generate a long strip control point database.Second

the long strip adjustment equation is formulated based on strip constraint by using the ground control point correlation result and the satellite parameters

such as ephemeris and attitude parameters.A precise line-of-sight model is built after least squares adjustment.An appropriate ground control point optimization method is introduced to accelerate the solution for the adjustment equation.Finally

the long strip orthographic production is resampled by using the precise line-of-sight model and referring to a digital elevation model. Experiments are designed and conducted to verify the performance of the proposed long strip method.When the long strip imagery contains less than 15 scenes

the long strip satellite products obtained using the proposed method achieve geometric accuracy within 12 m.The processing efficiency of the proposed method is twice that of the conventional method mainly as a result of saving mosaicking time and processing time for overlapping regions.For scenes covered by clouds

the proposed method can still achieve long strip orthographic production with qualified geometric accuracy by using surrounding scenes. The proposed method can achieve qualified geometric accuracy and high processing efficiency within a certain scope of scenes.Moreover

the proposed method exhibits efficient performance under conditions with cloud covering.