Theory of Geological Anomaly in Remote Sensing

作     者：Chen Jianping Zhao Pengda Ding Huoping The Institute of High and New Techniques Applied to Land Resources, China University of Geosciences, Beijing 100083 

作者机构：The Institute of High and New Techniques Applied to Land Resources China University of Geosciences 

出 版 物：《Journal of China University of Geosciences》 (中国地质大学学报（英文版）)

年 卷 期：2001年第12卷第2期

页      面：108-112页

核心收录：

学科分类：0709[理学-地质学] 081803[工学-地质工程] 07[理学] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：ThispaperissupportedbytheNationalNaturalScienceFoundationofChina (No .40 0 72 0 30 )andNationalSpecialLaboratoryofGeologicalDi 

主　　题：geological anomaly remote sensing geology geological field. 

摘      要：Geological anomaly is geological body or complex body with obviously different compositions, structures or orders of genesis as compared with those in the surrounding areas. Geological anomaly, restrained by the geological factors closely associated with ore forming process, is an important clue to ore deposits. The geological anomaly serves as a geological sign to locate ore deposits. Therefore, it is very important to study how to define the characteristics of geological anomaly and further to locate the changes in these characteristics. In this paper, the authors propose the geological anomaly based on the remote sensing images and data, and expound systematically such image features as scale, size, boundary, morphology and genesis of geological anomalies. Then the authors introduce the categorization of the geological anomalies according to their geneses. The image characteristics of some types of geological anomalies, such as the underground geological anomaly, are also explained in detail. Based on the remote sensing interpretation of these geological anomalies, the authors conclude that the forecasting and exploration of ore deposits should be focused on the following three aspects: (1) the analysis of geological setting and geological anomaly; (2) the analysis of circular geological anomaly, and (3) the comprehensive forecasting of ore deposits and the research into multi source information.