基于遥感的新疆西准哈图地区宝贝断裂的发现及其找矿意义          下载免费PDF全文

王军年  刘磊  周军  胡志军  纪征宝 《地质找矿论丛》2018,33(1):100-107

哈图地区地处西准噶尔达尔布特断裂带上盘,有利的构造及热动力条件导致该区形成许多金矿床、矿(化)点。文章以多种遥感数据为主导,在哈图地区开展矿产勘查工作。首先利用HSI编码的ETM+图像,增强、解译识别区内断裂;然后利用ASTER数据及光谱匹配滤波法提取矿化蚀变信息;重点部位采用Quickbird高分辨率数据解译小岩体和石英脉;并将多种结果进行综合分析。结果表明,HSI编码的ETM+图像可以有效解译出区内主断裂和次级断裂,并在安奇断裂和达尔布特断裂间解译出了宝贝断裂;蚀变信息结果与已知矿床、矿(化)点吻合较好,沿宝贝断裂带提取出了一条白云母、高岭土、绿泥石蚀变带;利用Quickbird高分辨率数据解译出了2个中酸性小岩体和数条石英脉,通过对小岩体和石英脉进行野外检查,发现了铜矿化点及微弱金矿化点多处,为后续的找矿提供了方向。  相似文献   

ASTER和TM/ETM+遥感数据融合监测土地覆盖变化   总被引：3，自引：0，他引：3  

贺奋琴  胡振琪  尹建忠  房世波 《测绘科学》2007,32(1):96-97,111

在人们纷纷选择IKONOS、QUICKBIRD、SPOT-5等高分辨率影像监测土地利用/覆盖变化之际,以北京海淀区为例,尝试采用Brovey变换和主成分分析(PCA)法融合ASTER、TM/ETM+中等分辨率影像,充分利用ASTER、TM/ETM+数据的多光谱和较高空间分辨率特性,挖掘其在土地覆盖变化监测中的潜力,为大规模监测土地利用/覆盖变化提供科学参考。研究将2003年ASTER多光谱3N、2、1波段与1999年ETM+PAN波段进行Brovey变换;1992年TM543与1999年ETM+PAN波段进行PCA融合,快速发现土地覆盖变化信息。经验证,变化发现精度达92.50%,符合项目精度要求。试验表明:在缺乏高分辨率影像的地区,选择价格相对便宜的AS-TER和TM/ETM+数据,采用Brovey变换和主成分分析(PCA)法进行融合,可有效监测土地覆盖变化,节约动态监测成本,二者具有很大的应用价值,值得推广。  相似文献   

Study of spectral signatures for exploration of Bauxite ore deposits in Panchpatmali,India     

P. Suman Babu  Amit K. Bhattacharya 《国际地球制图》2015,30(5):545-559

Spectral analysis technique has been utilized to identify the Bauxite mineral occurrences in Panchpatmali, Orissa, India. Spectral processing of Landsat ETM+ data has been carried out by converting the digital data from quantized and calibrated values to reflectance values. Minimum noise fraction transformation is used to determine the inherent dimensionality of reflected Landsat ETM+ data, to segregate noise in the data, and to reduce the computational requirements for subsequent processing and interactively to locate pure pixels within the data-set, projecting n-dimensional scatterplots. Spectral processing results are displayed in the form of images corresponding to each group of pixels (endmembers). Mixed tune matched filtering method has been applied on Landsat ETM+ images which gave three score (abundance) images for three different classes (endmembers) such as Bauxite, vegetation and soil. Further, mineralized zones are identified using image fusion of ERS-2 SAR and Landsat ETM+ data using intensity-hue-saturation technique.  相似文献   

模拟多光谱的土壤重金属含量反演研究初探     

郭云开  曹小燕  谢琼  周峰松 《测绘工程》2015,(12)

根据多光谱传感器的光谱响应函数,采用实测ISI921VF反射光谱数据模拟Landsat卫星ETM+传感器多光谱数据,在模拟光谱的基础上,通过光谱特征提取、构建土壤指数对土壤重金属Cu,Pb,As进行预测分析。研究显示,Cu,Pb与模拟ETM+光谱的B2,B3波段显著相关,As与DSI,RSI,NDSI相关系数在0.6以上,基于模拟多光谱建立的Cu,As模型精度较高,平均相对误差分别为7.9%,2.7%,表明模拟的Landsat卫星ETM+传感器多光谱具有预测耕地土壤重金属的潜力,为实现大范围监测土壤重金属污染提供新思路。  相似文献   

不同环境条件下金矿遥感异常提取研究     

刘志杰 《城市地质》2015,(Z1)

金矿遥感异常在金矿资源综合评价与定位预测中发挥着重要作用。根据蚀变岩在可见光和近红外光谱区的诊断性波谱特征,在中等植被覆盖区利用各种方法手段压抑或排除环境因素的干扰可以提取出金矿蚀变信息;根据金的植被遥感异常理论,在植被覆盖区可以通过提取异常植被信息的方法来获得与金矿找矿有关的信息。1,运用矿物指数乘性因子法对四川省九寨沟县草地金矿区及外围进行金矿蚀变信息提取,所提取的金矿蚀变信息与该区解译构造预测结果对比,二者吻合度较高。2.对比研究了黑龙江呼玛地区与金矿有关的植被遥感异常特征,提取结果表明:这种异常主要分布在以兴隆沟为中心的大型环块构造区和沿黑龙江西岸新街基一呼吗一线北西向构造带内。  相似文献   

Biosorption Behavior and Mechanism of Lead （Ⅱ） from Aqueous Solution by Aerobic Granules （AG） and Bacterial Alginate （BA）     

WANG Lin  LI Yu 《青岛海洋大学学报(英文版)》2012,(4):495-500

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北京城区2000—2014年地表温度反演及因素分析     

刘苏庆  陈建平  李诗 《江苏地质》2019,43(3):499-505

传统的城市温度监测方法周期长、效率低,而利用热红外遥感影像进行城区温度监测的方法具有准确、简便、实用等优点。基于Landsat TM、ETM+、OLI遥感影像数据,应用辐射传输方程法对北京城区（东城区、西城区、宣武区、崇文区、朝阳区、海淀区和丰台区7个区域）2000—2014年夏季地表温度的空间分布和时间变化进行分析及温度反演,结果显示,高温区分布有一定的规律,降雨情况、植被覆盖度的变化以及城区规划都是北京城区温度变化的重要影响因素。研究结果可为减缓北京的热岛效应提供依据。  相似文献   

Remote sensing classification of western Sierra Leone using landsat TM and ETM +     

Aruna V． F． Conteh  CHEN Shengbo 《世界地质(英文版)》2012,15(1):58-65

The study examines the changes of land cover/use resources for the period under investigation.An unsupervised vegetation classification is being performed that provides five distinctive classes and thus assesses these changes in five broad land cover classes-high/moist forests,forest regrowth,mixed savanna,bare land/ grass and water.The remote sensing images used in this work are both images of TM and ETM+in different time periods(1986 to 2001)to determine land cover/use changes.A fairly accuracy report is recorded after performing the unsupervised classification,which shows vegetation has been depleted for over the years.Changes created are mostly human and to a lesser extent environment.Human activities are mainly encroachment thus altering the landscape through activities such as population growth,agriculture,settlements,etc.and environment due to some perceive climatic changes.This vegetation classification highlights the importance to acquire and publish information about the country’s partial vegetation cover and vegetation change including vegetation maps and other basic vegetation influencing factors,leading to an understanding of its evolution for a period.  相似文献   

Atmospheric correction of remote sensing imagery based on the surface spectrum’s vector space   总被引：1，自引：0，他引：1  

CHEN Chun  LIU ChengYu  & ZHANG ShuQing 《中国科学:地球科学(英文版)》2012,(8):1289-1296

Due to the atmosphere effect,the qualities of images decrease conspicuously,practically in the visible bands,in the processing of earth observation by the satellite-borne sensors.Thus,removing the atmosphere effects has become a key step to improve the qualities of images and to retrieve the actual reflectivity of surface features.An atmospheric correction approach,called ACVSS(Atmospheric Correction based Vector Space of Spectrum),is proposed here based on the vector space of the features’ spectrum.The reflectance image of each band is retrieved first according to the radiative transfer equation,then the spectrum’s vector space is constructed using the infrared bands,and finally the residual errors of the reflectance images in the visible bands are corrected based on the pixel position in the spectrum’s vector space.The proposed methodology is verified through atmospheric correction on Landsat-7 ETM+ imagery.The experimental results show that our method is more accurate and the corrected image is more distinct,compared with those offered by current popular atmospheric correction software.  相似文献   

基于多源遥感数据的矿物蚀变信息提取——以西藏甲玛铜多金属矿为例     

吴小娟  温静  肖晨超  崔振营 《地质力学学报》2015,21(2):228-240

以甲玛矿区的ETM+(TM)数据和Aster数据为数据源, 采用波段代数运算法和主成分分析法提取两种数据中的蚀变矿物信息, 然后将蚀变信息结果融合得到研究区矿物蚀变分布图。ETM+(TM)数据适合提取羟基、铁染、碳酸盐等基团(离子)信息, 为遥感找矿提供基础的技术支撑。Aster数据可以识别出更细化的蚀变矿物, 如方解石、褐铁矿、绿泥石、白云母和高岭石等。通过与研究区地质资料及前人勘探结果比对分析, 遥感矿物蚀变信息结果有效、可靠。   相似文献