• 中国出版政府奖提名奖

    中国百强科技报刊

    湖北出版政府奖

    中国高校百佳科技期刊

    中国最美期刊

    Volume 49 Issue 6
    Jun.  2024
    Turn off MathJax
    Article Contents
    Wang Daming, Li Xusheng, Wei Jialin, Cao Siqi, Wang Feicui, Tong Yunxiao, Yan Guoqiang, 2024. Identification of Rare Metal Dikes by Multi-Platform Synchronous Thermal Infrared Remote Sensing in Hutoushan Area. Earth Science, 49(6): 2242-2252. doi: 10.3799/dqkx.2024.039
    Citation: Wang Daming, Li Xusheng, Wei Jialin, Cao Siqi, Wang Feicui, Tong Yunxiao, Yan Guoqiang, 2024. Identification of Rare Metal Dikes by Multi-Platform Synchronous Thermal Infrared Remote Sensing in Hutoushan Area. Earth Science, 49(6): 2242-2252. doi: 10.3799/dqkx.2024.039

    Identification of Rare Metal Dikes by Multi-Platform Synchronous Thermal Infrared Remote Sensing in Hutoushan Area

    doi: 10.3799/dqkx.2024.039
    • Received Date: 2024-01-05
      Available Online: 2024-07-11
    • Publish Date: 2024-06-25
    • Remote sensing identification of rare metal deposit dikes in the north margin of North China block has important practical needs and theoretical significance. In view of the technical difficulties of vein recognition and the special geological background of the study area, it proposes a "Space-Sky- Ground" synchronous thermal infrared remote sensing algorithm for Nb-Ta polymetallic deposit vein recognition to assist the identification of metallogenic veins. The algorithm uses landsat-8 satellite data and UAV thermal infrared data collected synchronously as the main data source to calculate and correct the surface specific emissivity. Combined with the emission characteristics of Tianhe Petrochemical albite granite and threshold segmentation method, 13 dike development areas were delimited and verified in the field. The results show that the accuracy and reliability of the proposed algorithm are high, and the "Space-Sky-Ground" synchronous thermal infrared remote sensing can be used to identify rare metal dikes in Hutoushan area. This study has provided guidance for the exploration of niobium-tantalum deposits in the study area, and will also provide a useful reference for the remote sensing detection and identification of rare metal deposits.

       

    • loading
    • Benson, T. R., Coble, M. A., Rytuba, J. J., et al., 2017. Lithium Enrichment in Intracontinental Rhyolite Magmas Leads to Li Deposits in Caldera Basins. Nature Communications, 8(1): 270. https://doi.org/10.1038/s41467-017-00234-y
      Chakhmouradian, A. R., Smith, M. P., Kynicky, J., 2015. From "Strategic" Tungsten to "Green" Neodymium: A Century of Critical Metals at a Glance. Ore Geology Reviews, 64: 455-458. https://doi.org/10.1016/j.oregeorev.2014.06.008
      Chakraborty, T., Lee, X. H., Ermida, S., et al., 2021. On the Land Emissivity Assumption and Landsat-Derived Surface Urban Heat Islands: A Global Analysis. Remote Sensing of Environment, 265: 112682. https://doi.org/10.1016/j.rse.2021.112682
      Chao, J. Q., Zhao, Z. F., Lai, Z. B., et al., 2023. Detecting Geothermal Anomalies Using Landsat 8 Thermal Infrared Remote Sensing Data in the Ruili Basin, Southwest China. Environmental Science and Pollution Research International, 30(11): 32065-32082. https://doi.org/10.1007/s11356-022-24417-3
      Dai, J. J., Wang, D. H., Wang, H. Y., 2019. A Review of the Three Type Rare Mineral Resources Survey in China Using Remote Sensing. Acta Geologica Sinica, 93(6): 1270-1278(in Chinese with English abstract). doi: 10.3969/j.issn.0001-5717.2019.06.008
      Dai, J. J., Zhao, L. X., Jiang, Q., et al., 2020. Review of Thermal-Infrared Spectroscopy Applied in Geological Ore Exploration. Acta Geologica Sinica, 94(8): 2520-2533(in Chinese with English abstract). doi: 10.3969/j.issn.0001-5717.2020.08.026
      Duan, J. B., Peng, P., Yang, Z., et al., 2019. Prediction of Polymetallic Metallogenic Favorable Area Based on ASTER Data. Remote Sensing for Land & Resources, 31(3): 193-200(in Chinese with English abstract).
      Dyar, M. D., Gunter, M. E., Tasa, D., 2007. Mineralogy and Optical Mineralogy. Mineralogical Society of America Chantilly, VA.
      E, A. Q., 2018. Ore Characteristics and Ore Controlling Factors of Rare Metal Deposits of Typical Granite Type in the Middle of the Inner Mongolia Autonomous Region. Nonferrous Metals Science and Engineering, 9(2): 62-69(in Chinese with English abstract).
      Fan, Y. H., Wang, H., Yang, X. K., et al., 2018. Application of High-Resolution Remote Sensing Technology to the Prospecting for Rare Metal Mineralization Belt. Remote Sensing for Land & Resources, 30(1): 128-134(in Chinese with English abstract).
      Galve, J. M., Sánchez, J. M., García-Santos, V., et al., 2022. Assessment of Land Surface Temperature Estimates from Landsat 8-TIRS in a High-Contrast Semiarid Agroecosystem. Algorithms Intercomparison. Remote Sensing, 14(8): 1843. https://doi.org/10.3390/rs14081843
      Gao, Y., Sun, Y., Zhao, Z., et al., 2017. 40Ar-39Ar Dating of Muscovite from the Zhaojinggou Nb-Ta Polymetallic Deposit in Wuchuan County of Inner Mongolia and Its Geological Implications. Rock and Mineral Analysis, 36(5): 551-558(in Chinese with English abstract).
      Gao, Y. B., Bagas, L., Li, K., et al., 2020. Newly Discovered Triassic Lithium Deposits in the Dahongliutan Area, Northwest China: A Case Study for the Detection of Lithium-Bearing Pegmatite Deposits in Rugged Terrains Using Remote-Sensing Data and Images. Frontiers in Earth Science, 8: 591966. https://doi.org/10.3389/feart.2020.591966
      Gao, Y. N., Zhang, W. C., 2008. Comparison Test and Research Progress of Topographic Correction on Remotely Sensed Data. Geographical Research, 27(2): 467-477, 484(in Chinese with English abstract). doi: 10.3321/j.issn:1000-0585.2008.02.024
      He, J. L., Zhao, W., Li, A. N., et al., 2019. The Impact of the Terrain Effect on Land Surface Temperature Variation Based on Landsat-8 Observations in Mountainous Areas. International Journal of Remote Sensing, 40(5-6): 1808-1827. https://doi.org/10.1080/01431161.2018.1466082
      Jiménez-Muñoz, J. C., Sobrino, J. A., Skoković, D., et al., 2014. Land Surface Temperature Retrieval Methods from Landsat-8 Thermal Infrared Sensor Data. IEEE Geoscience and Remote Sensing Letters, 11(10): 1840-1843. https://doi.org/10.1109/LGRS.2014.2312032
      Kuenzer, C., Dech, S., 2013. Thermal Infrared Remote Sensing: Sensors, Methods, Applications. Springer, Amsterdam, Netherlands.
      Li, L. G., Wang, L. X., Zhu, Y. X., et al., 2023. Metallogenic Age and Process of Rare Metal-Bearing Pegmatites from the Northern Margin of Mufushan Complex, South China. Earth Science, 48(9): 3221-3244(in Chinese with English abstract).
      Liu, D. C., Tian, F., Qiu, J. T., et al., 2017. Application of Hyperspectral Remote Sensing in Solid Ore Exploration in the Liuyuan-Fangshankou Area. Acta Geologica Sinica, 91(12): 2781-2795(in Chinese with English abstract). doi: 10.3969/j.issn.0001-5717.2017.12.014
      Liu, D. F., Chen, S. B., Chen, L., et al., 2015. Silicification Information Extraction Based on the Content of SiO2 from ASTER TIR Data. Earth Science, 40(8): 1396-1402(in Chinese with English abstract).
      Lou, D. B., Wang, D. H., Li, W. Y., et al., 2022. Progress of Prospecting Prediction Research for Granitic Pegmatite-Type Lithium Deposits at Home and Abroad. Mineral Deposits, 41(5): 975-988(in Chinese with English abstract).
      Lü, Z. H., Liu, K., Zhang, H., et al., 2023. The Potential Medium- and Large-Scale Be Ore Deposit in Altai, Xinjiang: A Case Study of Pegmatites from Chonghur. Acta Petrologica Sinica, 39(11): 3319-3333(in Chinese with English abstract). doi: 10.18654/1000-0569/2023.11.07
      Mao, J. W., Song, S. W., Liu, M., et al., 2022. REE Deposits: Basic Characteristics and Global Metallogeny. Acta Geologica Sinica, 96(11): 3675-3697(in Chinese with English abstract). doi: 10.3969/j.issn.0001-5717.2022.11.001
      Maurer, T., 2013. How to Pan-Sharpen Images Using the Gram-Schmidt Pan-Sharpen Method: A Recipe. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1/W1: 239-244. https://doi.org/10.5194/isprsarchives-xl-1-w1-239-2013
      Mwaniki, M. W., Moeller, M. S., Schellmann, G., 2015. A Comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in Mapping Geology and Visualising Lineaments: A Case Study of Central Region Kenya. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3: 897-903. https://doi.org/10.5194/isprsarchives-xl-7-w3-897-2015
      Neinavaz, E., Skidmore, A. K., Darvishzadeh, R., 2020. Effects of Prediction Accuracy of the Proportion of Vegetation Cover on Land Surface Emissivity and Temperature Using the NDVI Threshold Method. International Journal of Applied Earth Observation and Geoinformation, 85: 101984. https://doi.org/10.1016/j.jag.2019.101984
      Qin, Z. H., Zhang, M. H., Arnon, K., et al., 2001. Mono-Window Algorithm for Retrieving Land Surface Temperature from Landsat TM6 Data. Acta Geographica Sinica, 56(4): 456-466(in Chinese with English abstract).
      Sekertekin, A., Bonafoni, S., 2020. Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation. Remote Sensing, 12(2): 294. https://doi.org/10.3390/rs12020294
      Shaw, R. A., Goodenough, K. M., Roberts, N. M. W., et al., 2016. Petrogenesis of Rare-Metal Pegmatites in High-Grade Metamorphic Terranes: A Case Study from the Lewisian Gneiss Complex of North-West Scotland. Precambrian Research, 281: 338-362. https://doi.org/10.1016/j.precamres.2016.06.008
      Tardy, B., Rivalland, V., Huc, M., et al., 2016. A Software Tool for Atmospheric Correction and Surface Temperature Estimation of Landsat Infrared Thermal Data. Remote Sensing, 8(9): 696. https://doi.org/10.3390/rs8090696
      Wang, D. H., Wang, R. J., Sun, Y., et al., 2016. A Review of Achievements in the Three-Type Rare Mineral Resources (Rare Resources, Rare Earth and Rarely Scattered Resources) Survey in China. Acta Geoscientica Sinica, 37(5): 569-580(in Chinese with English abstract).
      Wang, H., Qin, X. W., Fan, Y. H., et al., 2018. The Application of High Resolution Remote Sensing Technology to Ore-Prospecting in Dahongliutan-Fulugou Area of West Kunlun Mountains. Geology in China, 45(6): 1289-1301(in Chinese with English abstract).
      Wang, L., Cheng, Y., Lamb, D., et al., 2020. The Application of Rapid Handheld FTIR Petroleum Hydrocarbon-Contaminant Measurement with Transport Models for Site Assessment: A Case Study. Geoderma, 361: 114017. https://doi.org/10.1016/j.geoderma.2019.114017
      Wulder, M. A., Loveland, T. R., Roy, D. P., et al., 2019. Current Status of Landsat Program, Science, and Applications. Remote Sensing of Environment, 225: 127-147. https://doi.org/10.1016/j.rse.2019.02.015
      Xu, X. W., Li, H., Shi, F. P., et al., 2019. Metallogenic Characteristics and Prospecting of Granitic Pegmatite-Type Rare Metal Deposits in the Tugeman Area, Middle Part of Altyn Tagh. Acta Petrologica Sinica, 35(11): 3303-3316(in Chinese with English abstract). doi: 10.18654/1000-0569/2019.11.03
      Zhang, C., Li, Z. D., Li, X. G., et al., 2019. Zircon U-Pb Dating and Hf Isotopic and Geochemical Characteristics for K-Feldspar Granite in Zhaojinggou, Inner Mongolia. Acta Petrologica et Mineralogica, 38(3): 303-317(in Chinese with English abstract). doi: 10.3969/j.issn.1000-6524.2019.03.002
      代晶晶, 王登红, 王海宇, 2019. 我国三稀矿产资源遥感调查综述. 地质学报, 93(6): 1270-1278. doi: 10.3969/j.issn.0001-5717.2019.06.008
      代晶晶, 赵龙贤, 姜琪, 等, 2020. 热红外高光谱技术在地质找矿中的应用综述. 地质学报, 94(8): 2520-2533. doi: 10.3969/j.issn.0001-5717.2020.08.026
      段俊斌, 彭鹏, 杨智, 等, 2019. 基于ASTER数据的多金属成矿有利区预测. 国土资源遥感, 31(3): 193-200. https://www.cnki.com.cn/Article/CJFDTOTAL-GTYG201903024.htm
      鄂阿强, 2018. 内蒙古中部典型花岗岩型稀有金属矿床特征和控矿因素. 有色金属科学与工程, 9(2): 62-69. https://www.cnki.com.cn/Article/CJFDTOTAL-JXYS201802011.htm
      范玉海, 王辉, 杨兴科, 等, 2018. 基于高分辨率遥感数据的稀有金属矿化带勘查. 国土资源遥感, 30(1): 128-134. https://www.cnki.com.cn/Article/CJFDTOTAL-GTYG201801018.htm
      高永年, 张万昌, 2008. 遥感影像地形校正研究进展及其比较实验. 地理研究, 27(2): 467-477, 484. doi: 10.3321/j.issn:1000-0585.2008.02.024
      高允, 孙艳, 赵芝, 等, 2017. 内蒙古武川县赵井沟铌钽多金属矿床白云母40Ar-39Ar同位素年龄及地质意义. 岩矿测试, 36(5): 551-558. https://www.cnki.com.cn/Article/CJFDTOTAL-YKCS201705014.htm
      李乐广, 王连训, 朱煜翔, 等, 2023. 华南幕阜山北缘含稀有金属伟晶岩成矿时代及成矿过程. 地球科学, 48(9): 3221-3244. doi: 10.3799/dqkx.2022.141
      刘道飞, 陈圣波, 陈磊, 等, 2015. 以SiO2含量为辅助因子的ASTER热红外遥感硅化信息提取. 地球科学, 40(8): 1396-1402. doi: 10.3799/dqkx.2015.124
      刘德长, 田丰, 邱骏挺, 等, 2017. 柳园-方山口地区航空高光谱遥感固体矿产探测及找矿效果. 地质学报, 91(12): 2781-2795. doi: 10.3969/j.issn.0001-5717.2017.12.014
      娄德波, 王登红, 李婉悦, 等, 2022. 国内外花岗伟晶岩型锂矿找矿预测研究进展. 矿床地质, 41(5): 975-988. https://www.cnki.com.cn/Article/CJFDTOTAL-KCDZ202205007.htm
      吕正航, 刘堃, 张辉, 等, 2023. 新疆阿尔泰潜在的中大型铍矿床: 以冲乎尔伟晶岩为例. 岩石学报, 39(11): 3319-3333. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXB202311007.htm
      毛景文, 宋世伟, 刘敏, 等, 2022. 稀土矿床: 基本特点与全球分布规律. 地质学报, 96(11): 3675-3697. doi: 10.3969/j.issn.0001-5717.2022.11.001
      覃志豪, Zhang, M. H., Arnon, K., 等, 2001. 用陆地卫星TM6数据演算地表温度的单窗算法. 地理学报, 56(4): 456-466. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200104008.htm
      王登红, 王瑞江, 孙艳, 等, 2016. 我国三稀(稀有稀土稀散)矿产资源调查研究成果综述. 地球学报, 37(5): 569-580. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXB201605006.htm
      王辉, 秦绪文, 范玉海, 等, 2018. 高分遥感技术在西昆仑大红柳滩—俘虏沟地区地质找矿中的应用. 中国地质, 45(6): 1289-1301. https://www.cnki.com.cn/Article/CJFDTOTAL-DIZI201806018.htm
      徐兴旺, 李杭, 石福品, 等, 2019. 阿尔金中段吐格曼地区花岗伟晶岩型稀有金属成矿特征与找矿预测. 岩石学报, 35(11): 3303-3316. doi: 10.18654/1000-0569/2019.11.03
      张超, 李志丹, 李效广, 等, 2019. 内蒙古赵井沟钾长花岗岩锆石U-Pb定年、Hf同位素和岩石地球化学特征. 岩石矿物学杂志, 38(3): 303-317. doi: 10.3969/j.issn.1000-6524.2019.03.002
    • 加载中

    Catalog

      通讯作者: 陈斌, bchen63@163.com
      • 1. 

        沈阳化工大学材料科学与工程学院 沈阳 110142

      1. 本站搜索
      2. 百度学术搜索
      3. 万方数据库搜索
      4. CNKI搜索

      Figures(7)  / Tables(2)

      Article views (487) PDF downloads(48) Cited by()
      Proportional views

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return