Abstract:

Digital Terrain Analysis (DTA) is a digital information processing technology based on Digital Elevation Model (DEM) for the terrain attribute calculation and features extraction. Slope and aspect are the basic terrain parameters of DTA and widely used in different fields. However, it is always more difficult to get slope and aspect from DEM and normally needs more time to calculate slope and aspect due to large study area and huge data. Based on the analysis of serial algorithm features of slope and aspect in terrain analysis, the strategies of the data division, the data fusion and I/O of DTA algorithms are analyzed, and the parallel method was constructed from the aspect of data parallelism in the paper. The research indicates that the parallel method is efficient in performing the parallelization of sequential algorithms of slope and aspect, and the parallel method increases the execution efficiency of algorithms and achieves a good performance. The proposed parallel method can also be as a reference for the parallelization of the algorithms with the similar matrix type data.

Key words: DTA;DEM;slope &, aspect;algorithm parallelization