A solution to Web-based remote sensing data access and analysis

In this paper, we discussed the techniques of accessing and analyzing remotely sensed data stored in Internet/intranet servers from client browsers. First, the existing approaches for Web-based image sharing are compared. Then, to overcome the limitations of present methods, we introduce a new architecture which integrates ION (IDL on Net) and ARCIMS in developing geographic data servers - processing the image data stored in database and/or in files. Some operations, such as online enhancement, classification and filtering, which cannot be implemented before, can now be easily achieved, although this is somewhat time-consuming in some cases. Finally, we set up our national Landsat-7 ETM Plus imagery database by integrating ION with ARCIMS, and desirable results were obtained.