Study on the Hyperspectral (V-NIR-SWIR) Characteristics and
Applications for Typical Rocks and Ores in the Dalucao
Carbonatite-Related REE Deposit, Western Sichuan, China
GUO Dong-xu, SHI Wei-xin*, GAO Qing-nan, HUI Guang-ji, ZHANG Hong, REN Xiao-sa, YUAN Chun-yu, ZHAO Long-xian, LIU Jun-yuan
Cores and Samples Center of Natural Resources, Langfang 065201，China
Abstract：Hyperspectral technology has great appeal due to its environmental-friendly, rapid, and non-destructive determination for material composition and improvement of exploration efficiency in recent years. The qualitative identification of rare earth elements (REE) and their compounds, rare earth minerals, and the quantitative inversion for REE have been systematically studied through hyperspectral technology . However, the hyperspectral quantitative inversion study of rare earth concentrations for carbonatite-related REE deposits is relatively limited. This paper will collect the spectral reflectance data of representative well rocks and ores in a carbonatite-related REE deposit named Dalucao using HyLogger through hyperspectral (V-NIR-SWIR) technology. Meanwhile, the mineral assemblages of rocks and ores were observed through an orthogonal polarizing microscope, and the contents of rare earth elements were measured through the whole rock trace experiment. Then, the characteristics of hyperspectral reflectance for different types of rocks and ores were summarized systematically, and the quantitative inversion for REE was set up through regression analysis in the Dalucao REE deposit. The following conclusions can be obtained. The typical absorptions (in 511, 523, 580, 676, 740, 798, 865, 890, 1 093, and 1 252 nm), as well as the parameters of relative absorption depths (Dep511≥0.002, Dep523≥0.002, Dep580≥0.002, Dep676≥0.002, Dep740≥0.004, Dep798≥0.006, Dep865≥0.004, Dep890≥0.002, Dep1093≥0.003, Dep1252≥0.002) etc. for ores are the significant information of mineralization for exploration. These relative absorption depths have strong correlations with the concentrations of REE. The multiple linear regression inversion models have been established between these relative absorption depths and the contents of 15 kinds of REE and total REE, including Y, respectively, along with high accuracy with R2(0.759~0.987), which demonstrates that they have good predictions for the contents of REE. The results suggest that it has a wide prospect for rapid, non-destructive, cost-efficient determination of REE in carbonatite-related REE -deposits based on the visible, near-infrared, and short-wave infrared (V-NIR-SWIR) spectroscopy technology. Meanwhile, it shows a great possibility for the deep area, margin area, regional deposit exploration, limitation of the orebody, and mineral resource forecast in this type of deposit.
郭东旭，史维鑫，高卿楠，回广骥，张 弘，任潇洒，原春雨，赵龙贤，刘军媛. 川西大陆槽碳酸岩型稀土矿床典型岩矿石高光谱(V-NIR-SWIR)特征与应用研究[J]. 光谱学与光谱分析, 2025, 45(03): 742-752.
GUO Dong-xu, SHI Wei-xin, GAO Qing-nan, HUI Guang-ji, ZHANG Hong, REN Xiao-sa, YUAN Chun-yu, ZHAO Long-xian, LIU Jun-yuan. Study on the Hyperspectral (V-NIR-SWIR) Characteristics and
Applications for Typical Rocks and Ores in the Dalucao
Carbonatite-Related REE Deposit, Western Sichuan, China. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(03): 742-752.
[1] WANG Deng-hong, ZHAO Zhi, YU Yang, et al(王登红, 赵 芝, 于 扬, 等). Rock and Mineral Analysis(岩矿测试), 2013, 32(5): 796.
[2] FAN Hong-rui, NIU He-cai, LI Xiao-chun, et al(范宏瑞, 牛贺才, 李晓春, 等). Chinese Science Bulletin(科学通报), 2020, 65(33): 3778.
[3] Song W, Xu C, Smith M P, et al. Geology, 2018, 46: 323.
[4] Liu Y, Hou Z, Zhang R, et al. Economic Geology，2019，114(4): 719.
[5] Zheng X, Liu Y, Smith M P, et al. Journal of Petrology, 2023, 64(6): 037.
[6] WANG Deng-hong, WANG Rui-jiang, LI Jian-kang, et al(王登红, 王瑞江, 李建康, 等). Geology in China(中国地质), 2013, 40(2): 361.
[7] Weng Z, Jowitt S M, Mudd G M, et al. Economic Geology, 2015, 110: 1925.
[8] Zhu X, Liu Y, Hou Z. Geology, 2024, 52(2): 105.
[9] SONG Wen-lei, XU Cheng, WANG Lin-jun, et al(宋文磊, 许 成, 王林均, 等). Acta Scientiarum Naturalium Universitatis Pekinensis(北京大学学报：自然科学版), 2013, 49(4): 725.
[10] QU Wen-jun, WANG Deng-hong, ZHU Yun, et al(屈文俊, 王登红, 朱 云, 等). Acta Geologica Sinica(地质学报), 2019, 93(6): 1514.
[11] Cheng G, Zhang H, Li H, et al. Journal of Earth Science, 2023, 34(4): 1068.
[12] van der Meer F D, van der Werff H M A, van Ruitenbeek F J A, et al. International Journal of Applied Earth Observation and Geoinformation, 2012, 14: 112.
[13] DAI Jing-jing, ZHAO Long-xian, JIANG Qi, et al(代晶晶, 赵龙贤, 姜 琪, 等). Acta Geologica Sinica(地质学报), 2020, 94(8): 2520.
[14] Binnemans K. Chemical Reviews, 2007, 107: 2592.
[15] Ardanova L I, Get'man E I, Loboda S N, et al. Inorganic Chemistry, 2010, 49: 10687.
[16] DAI Jing-jing, WANG Deng-hong, CHEN Zheng-hui, et al(代晶晶, 王登红, 陈郑辉, 等). Acta Geoscientica Sinica(地球学报), 2017, 38(4): 523.
[17] CHENG Gong, LI Jia-xuan, WANG Chao-peng, et al(成 功, 李嘉璇, 王朝鹏, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(5): 1571.
[18] Batsanov S S, Derbeneva S S, Batsanova L R. Journal of Applied Spectroscopy, 1969, 10(2): 240.
[19] Dai J, Wang D, Wang R, et al. Journal of Applied Remote Sensing, 2013, 7: 073513.
[20] Möller V, Williams-Jones A E. Journal of Geochemical Exploration, 2018，188: 194.
[21] CAO Fa-sheng, LIU Yan-song, HE Zheng-wei, et al(曹发生, 刘严松, 何政伟, 等). Chinese Journal of Analytical Chemistry(分析化学), 2021, 49(2): 292.
[22] Dai J, Wang D, Chen Z. Journal of Rare Earth, 2021，39: 1300.
[23] Tan W, Qin X, Liu J, et al. Applied Clay Sciences, 2021, 215: 106320.
[24] Tan W, Qin X R, Liu J C, et al. Economic Geology, 2022, 117(2): 495.
[25] Kopačková-Strnadová V, Rapprich V, McLemore V, et al. International Journal of Applied Earth Observations and Geoinformation, 2021, 103: 102423.
[26] LIU Yan, CHEN Chao, SHU Xiao-chao, et al(刘 琰, 陈 超, 舒小超, 等). Acta Petrologica Sinica(岩石学报), 2017, 33(7): 1978.
[27] Turner D J, Rivard B, Groat L A. American Mineralogist. 2014, 99: 1335.
[28] Laukamp C, Rodger A, LeGras M，et al. Minerals, 2021, 11(4): 347.
[29] QIN Xiao-rong, YAO Yu-zeng, HE Hong-ping, et al(秦效荣, 姚玉增, 何宏平, 等). Geochimica(地球化学), 2020, 49(4): 422.
