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MAPPING OF SITTAMPUNDI ANORTHOSITE COMPLEX (SAC) IN SOUTHERN GRANULITE TERRAIN (SGT), INDIA WITH ASTER AND SENTINEL-2A DATA

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  • المؤلفون: M, Monisha Mohan; Meyyappan, Muthukumar; V.K, Brijesh
  • المصدر:
    ADBU Journal of Engineering Technology; Vol 11 (2022): Issue 1 (Special): May 2022 ; 2348-7305
  • نوع التسجيلة:
    article in journal/newspaper
  • اللغة:
    English
  • معلومة اضافية
    • بيانات النشر:
      Assam Don Bosco University
    • الموضوع:
      2022
    • Collection:
      Assam Don Bosco University Journals
    • نبذة مختصرة :
      The Sittampundi Anorthosite Complex (SAC) is a well-exposed Archean layered anorthosite-gabbro- ultramafic rock complex in southern India. SAC well preserved white- and dark-anorthosite,gabbros, and ultramafic rocks. This study aims to discriminate, characterize, and separate from adjacent and surrounding rocks the anorthosite complex in sitampundi using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Sentinel-2A data. Methods such as band color composites (True color composite, False color composite and Pseudo color composite), Principal Component Analysis (PCA), Minimum Noise Fraction (MNF) and Spectral Angle Mapper (SAM), are applied to discriminate the anorthosite complex in SGT (Southern Granulite Terrain). Band composites enhance the litho units using visible and shortwave infrared bands and thus, assisted in mapping for the anorthosite complex. PCA and MNF have been applied to the ASTER and Sentinel- 2A bands in order to decrease the redundant information in highly correlated bands. PCA and MNF driven band combinations facilitate the validation and help in discriminating the various lithological units exposed in the study area. SAM classifier classification technique was utilized to characterize the selected surface mineral assemblages from Sitampundi Anorthosite Complex using spectral signatures. The above- mentioned digital image processing techniques have been proven resourceful in discrimination of anorthosite complex and associated rocks. The results obtained from ASTER and Sentinel-2A data processing were validated in field, followed by accuracy assessment.
    • File Description:
      application/pdf
    • Relation:
      http://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/view/3604/945; http://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/view/3604
    • الدخول الالكتروني :
      http://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/view/3604
    • Rights:
      Copyright (c) 2022 ADBU Journal of Engineering Technology
    • الرقم المعرف:
      edsbas.33700210