摘要
遥感影像因其可直观显示地质构造形迹的物理特征及地表形态,弥补野外点线观测的局限性,在成矿环境识别及资源评价领域受到众多地学工作者的青睐。以纳米比亚欢乐谷白岗岩型铀成矿区为研究区,基于ETM+、Radarsat-2多源遥感数据,通过开展彩色合成、纹理信息提取、光学和雷达信息融合等图像信息增强,从地层、岩体、构造、地形、水系、植被等方面构建了千岁兰断裂带遥感解译标志,如岩体、岩层被切割、错开或呈穹窿状,地貌为破碎的山体垭口形态或地形切割强烈破碎的深沟,发育硅化、高岭土化、钾化、方解石化、绿泥石化蚀变现象等。基于构建的遥感解译标志和断裂识别方法,识别出了区内部分出露、部分隐伏、规模最大且最重要的千岁兰控矿断裂,创新性提出了千岁兰断裂在区内并非为1组断裂,而是由北部、中部、南部3组断裂组成的断裂带。结合野外出露断裂判别特征和控矿作用分析,验证了千岁兰断裂带的真实存在,且正是该断裂带控制着区内含铀白岗岩和铀矿化的产出。
Because the images could display the physical characteristics and their surface morphology of ge-ological structures intuitively and make up for the limitations of field investigation,remote sensing tech-nology is favored by many geoscientists in the field of mineralization environment identification and re-source evaluation.The paper took the leucogranite-type uranium metallogenic area in Gaudeanmus,Na-mibia as the research area,carried out the information enhancement of images such as color composition,texture information extraction,optical and radar image fusion,and constructed the marks for fault identi-fication from stratum,leucogranite bodies,structure,geomorphology,water system,vegetation and so on,based on the multi-source remote sensing data of ETM+and Radarsat 2.Leucogranite bodies and layers were cut or folded to form a vault.The landform appeared as a tectonic fracture,silicification,kaolinization,potassic alteration,calcitization,chloritization and were developed.Furthermore,the paper identified the partly outcropping and partly buried fault named Qiansuilan that was the largest and most important ore-controlled fault in the region,based on the fault identification marks and method.Furthermore,it was proposed innovatively that the Qiansuilan fault was not a group of faults in the area,but a fault zone con-sisting of three groups of faults named the northern,central and southern faults zone.Combined with the fault identification feature exposed in the field and ore-controlling analysis,the Qiansuilan fault existed tru-ly and it controlled the occurrence of leucogranite rich in uranium and uranium mineralization in the area.
作者
王俊虎
武鼎
张杰林
郭帮杰
Wang Junhu;Wu Ding;Zhang Jielin;Guo Bangjie(National Key Laboratory of Remote Sensing Information and Image Analysis T echnology,Beijing Research Institute of Uranium Geology,Beijing 100029,China)
出处
《地质科技通报》
CAS
CSCD
北大核心
2020年第5期183-190,共8页
Bulletin of Geological Science and Technology
基金
国家预先研究项目(遥Y1902)。
关键词
多源遥感
纳米比亚
欢乐谷
千岁兰断裂带
新发现
multi-source remote sensing
Namibia
Gaudeanmus
Qiansuilan fault
new discovery