干旱区生态环境知识资源中心(Arid): 基于ETM+和CBERS数据的甘肃北山音凹峡地区镁铁超镁铁岩体识别

Arid

	基于ETM+和CBERS数据的甘肃北山音凹峡地区镁铁超镁铁岩体识别
其他题名	Lithological Discrimination of the Mafic-ultramafic Complex, Yin,aoxia,East Beishan, Gansu, Using ETM+ and CBERS Data
	尹芳; 张建超; 周军; 李昱星; 牛涛; 李盼
来源期刊	遥感技术与应用
ISSN	1004-0323
出版年	2014
卷号	29 期号:3 页码:457-462
中文摘要	镁铁一超镁铁质小岩体易被地质填图遗漏,严重制约了该类型矿化的发现。以甘肃北山音凹峡地区为研究区,首先利用比值法、最小噪声分离法处理ETM +数据增强镁铁-超镁铁质岩体;对于规模较小的小岩体,采用ETM +和中巴资源卫星02B HR数据进行分辨率融合后进行解译、识别。通过将上述3种方法处理结果综合分析后共解译出6处镁铁-超镁铁岩体集中区。经野外检查,6处区域均与遥感分析结果吻合,证实了方法的有效性。该方法可以为西部地区地质填图和镁铁-超镁铁岩相关矿产资源勘查提供借鉴。
英文摘要	Small mafic-ultramafic intrusions were often omitted because of their small sizes and the large distance between two adjacent routes for geological mapping, which has seriously restricted the discovery of the relevant mineralization. This research takes Yin’aoxia, east Beishan, Gansu, as the study area. First, band ratio and minimum noise fraction were adopted to enhance and identify the mafic-ultramafic rocks using ETM+ data. Then, ETM+ data and CBERS 02B HR were fused to identify and interpret small intrusions. The results were compared with the geological map and conformed to be consistent with the geological map of the study area. Six new regions for mafic-ultramafic intrusions were identified by synthetic analysis of remote sensing results and geological data. Through ground inspections, all the six regions were consistent with the remote sensing results. These methods are recommended for geological mapping and small intrusion-type mineral resources targeting in the sparsely vegetated arid region of northwestern China.
中文关键词	音凹峡 ; 中巴资源卫星02B星 ; 镁铁一超镁铁岩 ; 比值法 ; 最小噪声分离法
英文关键词	ETM+ Yin’aoxia ETM+ CBERS-02B Mafic-ultramafic complex Band ritio Minimum noise fraction
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:5174910
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/231961
作者单位	长安大学地球科学与资源学院, 西安, 陕西 710054, 中国
推荐引用方式 GB/T 7714	尹芳,张建超,周军,等. 基于ETM+和CBERS数据的甘肃北山音凹峡地区镁铁超镁铁岩体识别[J],2014,29(3):457-462.
APA	尹芳,张建超,周军,李昱星,牛涛,&李盼.(2014).基于ETM+和CBERS数据的甘肃北山音凹峡地区镁铁超镁铁岩体识别.遥感技术与应用,29(3),457-462.
MLA	尹芳,et al."基于ETM+和CBERS数据的甘肃北山音凹峡地区镁铁超镁铁岩体识别".遥感技术与应用 29.3(2014):457-462.