The techniques of satellite remote sensing has been providing massive remote sensing data, however there's no integrated storage structure specially designed for the characters of remote sensing's multi-dimensions. In this context, a method of organizing multi-dimensional remote sensing data is proposed, and an integrated storage structure of SPAtial-Temporal-Spectral (SPATS) multi-dimensional remote sensing images is designed with five multi-dimensional storage format defined: Temporal Sequential in Band (TSB)Temporal Sequential in Pixel (TSP)Temporal Interleaved by Band (TIB)Temporal Interleaved by Pixel (TIP) and Temporal Interleaved by Spectrum (TIS). In addition, Based on this structure, a multi-dimensional data analysis module, namely MDA, is designed, which could implement the SPATS integrated storage of long time-series remote sensing imagery, perform data analysis and display, and build temporal image cubes of a variety of spectral indices, providing a solution of organizing data for the synthesis and characterization of SPATS multi-dimensional remote sending images.

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