Abstract: With the rapid development of remote sensing technology, new remote sensing equipment and methods are constantly emerging. The sources of remote sensing data are expanding, the types of remote sensing data are increasing and the quality of remote sensing data is improving. The application of remote sensing data in geographic national conditions monitoring is also more extensive. However, due to the complexity of remote sensing data sources and the huge amount of data, the selection of geographic national conditions monitoring data sources has become a difficult problem. Based on the main objectives of geographic national conditions monitoring, the optimal selection of data sources can be achieved by selecting the main quality factors of remote sensing data sources. This paper uses certain weighting methods to evaluate and compare them. A method of comparison and selection combining subjective expert evaluation with objective entropy calculation is presented. The method generalizes the main quality factors of data sources, constructs the index system, calculates the evaluation value using various weighted factors, evaluates and compares the data sources for geographic national conditions monitoring. Experiments show the effectiveness of this method.

Key words: geographic national conditions monitoring, remote sensing, data source, entropy method, subjective weighting method