The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5, 235–238, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W5-235-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W5, 235–238, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W5-235-2017

  16 Oct 2017

16 Oct 2017

REGIONAL GEOLOGICAL MAPPING IN THE GRAHAM LAND OF ANTARCTIC PENINSULA USING LANDSAT-8 REMOTE SENSING DATA

A. B. Pour1,2, M. Hashim1, and Y. Park2 A. B. Pour et al.
  • 1Geoscience and Digital Earth Centre (INSTeG), Universiti Teknologi Malaysia (UTM), 81310 UTM Skudai, Johor Bahru, Malaysia
  • 2Korea Polar Research Institute (KOPRI), Songdomirae-ro,Yeonsu-gu, Incheon 21990, Republic of Korea

Keywords: Landsat-8, Remote sensing data, geological mapping, Antarctic Peninsula

Abstract. Geological investigations in Antarctica confront many difficulties due to its remoteness and extreme environmental conditions. In this study, the applications of Landsat-8 data were investigated to extract geological information for lithological and alteration mineral mapping in poorly exposed lithologies in inaccessible domains such in Antarctica. The north-eastern Graham Land, Antarctic Peninsula (AP) was selected in this study to conduct a satellite-based remote sensing mapping technique. Continuum Removal (CR) spectral mapping tool and Independent Components Analysis (ICA) were applied to Landsat-8 spectral bands to map poorly exposed lithologies at regional scale. Pixels composed of distinctive absorption features of alteration mineral assemblages associated with poorly exposed lithological units were detected by applying CR mapping tool to VNIR and SWIR bands of Landsat-8.Pixels related to Si-O bond emission minima features were identified using CR mapping tool to TIR bands in poorly mapped andunmapped zones in north-eastern Graham Land at regional scale. Anomaly pixels in the ICA image maps related to spectral featuresof Al-O-H, Fe, Mg-O-H and CO3 groups and well-constrained lithological attributions from felsic to mafic rocks were detectedusing VNIR, SWIR and TIR datasets of Landsat-8. The approach used in this study performed very well for lithological andalteration mineral mapping with little available geological data or without prior information of the study region.