An Automated Mining Approach of Land Use/Cover Change General Transfer Matrix Based on Vector Data

In order to take full advantage of expanding land use/cover vector data, quickly mine the underlying information of features changes, and further provide the technical support and decision-making basis for the scientific management and overall planning of land resource, an accurate approach and efficient tool to compute and generate land use/cover change transfer matrix from multiple attribu-tes or aspects of features are proposed in this paper. Firstly, the formal definition of general transfer matrix (GTM) is given and its basic characteristics and information implications are summarized. Se-condly, the main problems and the corresponding solutions during its computation and generation process are discussed, whose four steps, namely data pre-processing, feature matching, change detection and matrix production are also explained in detail. Finally, the visible software tool developed by the integrated secondary development is described briefly. It is concluded that the proposed approach and the related tool can greatly enhance the accuracy and flexibility of GTM vectorized computation and generation, and effectively overcome the shortcomings of manual processing such as low efficiency, long cycle, error-prone and difficult to check, as well as the limilations of the commonly used grid computing methods such as low accuracy, single results and inaccurate and comprehensive reflection of the change and transfer of land use/cover elements in different attributes.