Research On Application Of Multi-sources Satellite Data In Geological Survey

The paper, based on four regional geological survey maps of Busite etal1:50è00è0sets out to investigate the application of such satellite images as SPOT-5,GeoEye, Aster as well as ETM+in regional survey work. Meanwhile, by consideringvarious given data by satellites and fully analyzing the spatial resolution and spectralcharacteristics of different remote sensing images, it also discusses the selection ofproper satellite remote sensing data. Then, combining current regional work, itexplores the processing methods as well as technical procedures of multi-satelliteimages in1:50000mapping, and on the basis of which it at last finishes the extractionof remote sensing geological interpretation and the mineralization alterationinformation in the researching area. The data adopted in the study are mainly providedby SPOT-5, GeoEye, Aster, ETM+and other satellites. TM/ETM+images, likewiseAster images, despite their poor ability in spatial resolution, they have abundantspectral information and especially have the band for rock alteration, which made itthe main data source in the altered mineralization information extraction. SatelliteSPOT-5, however, carrying the optical scanner HRV, whose geometric positioningaccuracy can be up to2.5m, is used to form the images of remote sensing mappingand visual interpretation. Furthermore, GeoEye is usually applied in the key areas ofremote sensing images into a figure because its spatial resolution of the image is ashigh as0.5m.Taking the above factors into account, it is of great necessity to combine thesatellites data mentioned (SPOT-5, GeoEye, TM/ETM+, Aster) together, which willhelp to fulfill the required locating precision for1:50,000mapping. For the satelliteimages, radiation correction is first used to eliminate the influence of air; then basedon the SPOT-5band image and after a series of process of geometric correction,matching the remote sensing images with topographic map and clipping, the finaldigital sensing images are obtained. Afterwards, digital enhancement processingmethods such as image fusion, color composite, ratio enhancement and K-Ltransformation are adopted to enhance lithology, structure, mineralized alteration aswell as other useful information. With these achievements and after a comprehensive analysis of the geological data, establishing the remote sensing signs and then byusing visual interpretation method, the paper realizes the construction of remotesensing images and the lithology interpretation. Apart from this, through ratioprocessing and threshold segmentation to Aster and ETM+image band, it at the sametime achieves the extraction of mineralizing alteration of ionic groups which containFe3+, AL-OH, Mg-OH, Fe-OH. Finally, the paper experiences interactiveinterpretation on MapGIS v6.7platform, and forms different kinds of remote sensinggeological interpretation maps that are needed.