Application Of Remote Sensing Data In Wushan Mountain Copper Molybdenum Mining Area,Inner Mongolia

With the coming of information age,space remote sensing technology is widely used in different industries,it not only makes the access of information more convenient and quick,but also provides convenience for our life to some extent.In China,remote sensing technology is mainly used in vegetation information acquisition,coastal environmental monitoring,urban planning,fire prevention and early warning and other important fields.Its application in mineral resources exploration is very mature which is of great significance to the prospecting work in actual production.The study area is Wunugetushan copper molybdenum mining area,Manzhouli City,Inner Mongolia Autonomous Region,the existing geological data is the traditional prospecting technology method,therefore,the application of remote sensing technology plays an important role in delimiting the metallogenic area in the study area.This time,the combination of field work and indoor analysis is adopted,using Landsat8 image data,UAV multispectral image data,Orthophoto Image,DEM elevation data,borehole sample spectrum data and other related geological data,with two aspects of alteration information extraction,sampling point element analysis and linear structure interpretation were carried out in the study area,in addition,the results,formation lithology information and industrial ore information are superposed and analyzed,finally delineate the favorable metallogenic area.This work can provide remote sensing geological data with certain reference value for practical production,it is of guiding significance to study the correlation between the metallogenic favorable area and linear structure,formation lithology and alteration information.The main research results of this work are as follows:1.Using envi5.3 software to preprocess Landsat8 image data and UAV multispectral image data respectively.2.Mask the Landsat8 image data to remove interference,utilizing the combination of band ratio method and principal component analysis to interpret the abnormal information of iron staining and hydroxyl group,using UAV multispectralimage data to interpret iron staining information with higher accuracy,then the PCA method is used to complete the classification of alteration information and draw the comprehensive analysis chart of alteration information.3.Taking spectral samples from boreholes in field work for indoor test with SM-3500 portable near infrared spectrometer,after analysis the information data of point alteration is imported into ARCGIS interpolation modeling,in order that the information of iron staining,hydroxyl alteration and element content distribution can be obtained.Combining the above remote sensing image alteration information with borehole spectral alteration information.4.Using envi5.3 and ARCGIS software to enhance remote sensing image data,building 3D model map based on DEM elevation data with ARCSCENE software,through the established interpretation marks,the linear structure information of the study area is interpreted,and the comprehensive analysis chart of linear structure information is drawn.5.Alteration information,linear structure information,stratum rock information and industrial ore information obtained by comprehensive superposition analysis,there are six favorable metallogenic areas in the inner circle of the study area,and make a comprehensive evaluation of each favorable metallogenic area.