国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2014年
2期
154-161
,共8页
邓会娟%姚聿涛%彭光雄%夏浩东
鄧會娟%姚聿濤%彭光雄%夏浩東
산회연%요율도%팽광웅%하호동
斑岩型Cu-Mo矿床%蚀变分带%Crosta技术%找矿预测%纳日贡玛
斑巖型Cu-Mo礦床%蝕變分帶%Crosta技術%找礦預測%納日貢瑪
반암형Cu-Mo광상%식변분대%Crosta기술%조광예측%납일공마
porphyry Cu-Mo deposit%alteration zoning%Crosta technology%prospecting prediction%Narigongma
青海三江北段是我国重要的多金属成矿区带,具有形成大型、特大型金属矿床的赋存条件及地质背景。纳日贡玛矿床是该区带中最为典型的斑岩型Cu-Mo矿床。针对斑岩型矿床的典型蚀变分带特征,利用ASTER数据,采用Crosta技术和比值法进行高岭石化、青磐岩化、黄铁矿化和硅化等遥感蚀变异常信息的提取;通过对ASTER和QuickBird图像的遥感解译,获得花岗斑岩体和断裂构造的空间分布图;根据纳日贡玛矿床的成矿规律和控矿要素,利用遥感数据获得的找矿预测因子,圈定了8个具有良好找矿前景的遥感找矿预测区,并总结出纳日贡玛的遥感蚀变异常分带规律,可为三江北段成矿带中其他斑岩型Cu-Mo矿床的找矿勘查提供重要参考信息。
青海三江北段是我國重要的多金屬成礦區帶,具有形成大型、特大型金屬礦床的賦存條件及地質揹景。納日貢瑪礦床是該區帶中最為典型的斑巖型Cu-Mo礦床。針對斑巖型礦床的典型蝕變分帶特徵,利用ASTER數據,採用Crosta技術和比值法進行高嶺石化、青磐巖化、黃鐵礦化和硅化等遙感蝕變異常信息的提取;通過對ASTER和QuickBird圖像的遙感解譯,穫得花崗斑巖體和斷裂構造的空間分佈圖;根據納日貢瑪礦床的成礦規律和控礦要素,利用遙感數據穫得的找礦預測因子,圈定瞭8箇具有良好找礦前景的遙感找礦預測區,併總結齣納日貢瑪的遙感蝕變異常分帶規律,可為三江北段成礦帶中其他斑巖型Cu-Mo礦床的找礦勘查提供重要參攷信息。
청해삼강북단시아국중요적다금속성광구대,구유형성대형、특대형금속광상적부존조건급지질배경。납일공마광상시해구대중최위전형적반암형Cu-Mo광상。침대반암형광상적전형식변분대특정,이용ASTER수거,채용Crosta기술화비치법진행고령석화、청반암화、황철광화화규화등요감식변이상신식적제취;통과대ASTER화QuickBird도상적요감해역,획득화강반암체화단렬구조적공간분포도;근거납일공마광상적성광규률화공광요소,이용요감수거획득적조광예측인자,권정료8개구유량호조광전경적요감조광예측구,병총결출납일공마적요감식변이상분대규률,가위삼강북단성광대중기타반암형Cu-Mo광상적조광감사제공중요삼고신식。
The North Sanjiang metallogenic belt in Qinghai Province has excellent metallogenic conditions and geological background to form large or superlarge metal deposits, and Narigongma is the most typical porphyry Cu-Mo deposit in this region. Based on the typical characteristics of alteration zoning of the porphyry Cu-Mo deposit and using the ASTER data,the authors extracted the remote sensing alteration anomaly information of kaolinization, propylitization,pyritization and silicification by using Crosta technology and band ratio method. The distribution map of granite porphyry and faults was obtained on the basis of remote sensing interpretation of the ASTER and QuickBird images. According to the metallogenic regularity and ore-controlling factors of the Narigongma deposit, eight mineral prediction areas were delineated based on the mineral predictive factors derived from remote sensing data. The remote sensing characteristics of alteration zoning of Narigongma can provide important reference information for the exploration of porphyry Cu-Mo deposits in the North Sanjiang metallogenic belt.