Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data

被引:0
|
作者
Chauhan, Mamta [1 ]
Sur, Koyel [2 ]
Chauhan, Prakash [3 ]
Joshi, Himani [1 ]
Singh, Arya Pratap [1 ]
Borkar, Aakanksha S. [1 ]
机构
[1] ISRO, Indian Inst Remote Sensing, Dehra Dun, India
[2] Punjab Remote Sensing Ctr, Ludhiana, India
[3] ISRO, Natl Remote Sensing Ctr, Hyderabad, India
关键词
Ophiolites; PRISMA; Machine learning; SPACEBORNE THERMAL EMISSION; INDUS SUTURE ZONE; MINERAL CHEMISTRY; EASTERN LADAKH; INDIA; REFLECTANCE; ORIGIN; SERPENTINIZATION; METAMORPHISM; PERFORMANCE;
D O I
10.1016/j.asr.2024.01.006
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Ophiolites represents a distinctive variety of igneous rock that comprises fragments of oceanic crust with the underlying mantle portion. Their mineral assemblages and distribution relation, both spatial and temporal are in close association with the complex mantle dynamics of the Earth. Nidar ophiolite complex located towards SE of Ladakh is one of such ophiolite assemblages exposed well in the Indus Suture Zone of Himalayas. It represents parts of Neo-Tethys ocean that existed during Mesozoic -Cenozoic period between continental plates of India and Eurasia. The earlier studies for Indian ophiolites are mostly field and analytical based with a limited work carried out using remote sensing techniques and that adds scope to apply this approach for further exploration of ophiolites. Advanced tools and techniques especially, hyperspectral remote sensing and machine learning based approach can be effective operational tools for exploration of ophiolites that provide assessable terrains for characterization of Earth's mantle, serve analogs for planetary crustal rocks and also have economic significance. This study has utilized high -resolution multispectral (Landsat OLI and ASTER) and hyperspectral data from various missions including the recent PRISMA mission which has provided the first hyperspectral datasets for lithological mapping of Nidar ophiolite section. The multiple high -resolution datasets were used for identification and mapping of the various lithounits of the Nidar ophiolites together with the underlying and overlying associated rocks based on band ratioing, derived spectral compositional indices and spectral characterization. The differentiated lithounits of the Nidar ophiolites are interpreted based on spectral response of lithological units in different bands. In addition, classification based on machine learning techniques have been applied to the PRISMA data to generate a detailed classification map of the study area where the various lithological units of the ophiolites and associated rock exposures belonging to various geological formations are clearly discernible. The results have been validated from geological field visit to the study area and spectral analysis of the field samples. (c) 2024 COSPAR. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:4091 / 4105
页数:15
相关论文
共 50 条
  • [1] Mapping of an ophiolite complex by high-resolution visible-infrared spectrometry
    Combe, Jean-Philippe
    Launeau, Patrick
    Pinet, Patrick
    Despan, Daniela
    Harris, Esther
    Ceuleneer, Georges
    Sotin, Christophe
    [J]. GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2006, 7
  • [2] Subduction zone characteristics of the Nidar Ophiolite Complex, Eastern Ladakh, India - Geochemical constraints
    Mir, Ishfaq A.
    Mir, Akhtar R.
    Najar, Mohd M.
    Bhat, Irfan M.
    [J]. NEUES JAHRBUCH FUR MINERALOGIE-ABHANDLUNGEN, 2023, 198 (03): : 257 - 273
  • [3] Chromites from the Nidar ophiolite and Karzok complex, Transhimalaya, eastern Ladakh: their magmatic evolution
    Ravikant, V
    Pal, T
    Das, D
    [J]. JOURNAL OF ASIAN EARTH SCIENCES, 2004, 24 (02) : 177 - 184
  • [4] Compositional diversity in spinels from the Nidar ophiolite peridotites, Ladakh, India: A record of complex petrogenetic evolution
    Duraiswami, Raymond A.
    Kelkar, Akshay A.
    Shaikh, Tahira N.
    Karmalkar, Nitin R.
    Jonnalagadda, Mallika K.
    Monteiro, Aristle
    Pednekar, Hemant
    Sahu, Deepak Kumar
    [J]. HIMALAYAN GEOLOGY, 2024, 45 (01): : 1 - 25
  • [5] Lithological mapping of the Troodos ophiolite, Cyprus, using airborne LiDAR topographic data
    Grebby, Stephen
    Cunningham, Dickson
    Naden, Jonathan
    Tansey, Kevin
    [J]. REMOTE SENSING OF ENVIRONMENT, 2010, 114 (04) : 713 - 724
  • [6] Lithological mapping of Bela ophiolite with remote-sensing data
    Xiong, Yingqian
    Khan, Shuhab D.
    Mahmood, Khalid
    Sisson, Virginia B.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (16) : 4641 - 4658
  • [7] Machine learning-based approach on PRISMA data for mapping Nidar ophiolites in Ladakh, India
    Singh, Arya Pratap
    Chauhan, Mamta
    Sur, Koyel
    Srivastava, Ananya
    Chauhan, Prakash
    Sharma, Richa U.
    [J]. CURRENT SCIENCE, 2023, 125 (06): : 604 - 607
  • [8] Ophiolite mapping using ASTER data: a case study of Derni ophiolite complex
    Li Peijun
    Long XuanYao
    Liu Li
    [J]. ACTA PETROLOGICA SINICA, 2007, 23 (05) : 1175 - 1180
  • [9] Using high-resolution displays for high-resolution cardiac data
    Goodyer, Christopher
    Hodrien, John
    Wood, Jason
    Kohl, Peter
    Brodlie, Ken
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2009, 367 (1898): : 2667 - 2677
  • [10] MAPPING LAKE TOPOGRAPHY USING HIGH-RESOLUTION ALOS PRISM DATA
    Liu, Yuanbo
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 802 - 804