Information Extraction Of Alteration Information Using Remote Sensing And Metallogenic Prediction In BangBangNaiBeiLiQieEr, Inner Mongolia

Recently, remote sensing technology plays an important role in the work of geological prospecting and metallogenic zone forecasts. For alteration information extraction, many scholars at home and abroad have proposed a number of ways, mainly divided into band math, principal component analysis and spectral angle method. But because of topography, geomorphology and lithology factors make these methods have some limitations.This paper selected BangBangNaiBieLiQieEr, Inner Mongolia region as study area, which is located in China's major ore concentration area in North China. The study is based on the ETM+ multi-spectral remote sensing data, using traditional methods integrated topography, geomorphology, lithology factors to extract alteration information, and integrated geological data and geochemical data using Analytical Hierarchy Process to predict metallogenic zone and delineate prospective areas. In this study process, the results are as follows:1. Summed up the spectral characteristics of the typical alteration minerals in this area, based on spectral characteristics of hydroxyl-altered minerals and iron staining alteration minerals in the ETM+ remote sensing images, using the improved extraction method to extract hydroxyl alteration information and iron staining information.2. In the process of extracting alteration information, considering the topography, geomorphology, lithology information divided the entire study area to partitioned block to reflect the alteration information more accurately.3. Using slope data and solar elevation angle data to topographic correct the alteration information extracted, which can eliminate the impact of terrain that make the obtain results closer to the actual situation.4. Using Analytical Hierarchy Process analyzed remote sensing information, geological information and geochemical information in GIS platform. Scored on various mineralization factors in every cell and composted the weight of every factors to form a mineralization favorable value, as the basis for the value to forecast metallogenic zone. Through analysis, delineated 10 metallogenic zones in the study area, and divided into three levels: include 3 targeting areas of categoryâ… , 3 targeting areas of categoryâ…¡, 4 targeting areas of categoryâ…¢.This research provides the basis for the future exploration in BangBangNaiBieLiQieEr , has an important role in the direction. And this research protects multimetallic mineral resources for the country's economic stability development.