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Application of spectral analysis to determine geothermal anomalies in the Tuzla region, NW Turkey

  • R. Cuneyt ErenogluEmail author
  • Niyazi Arslan
  • Oya Erenoglu
  • Enis Arslan
Original Paper
  • 21 Downloads

Abstract

We used remote sensing data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite to identify the mineral properties and geothermal anomalies related to hot springs in the Tuzla area, including the fault system with NW-SE trend, which is located southwest of Çanakkale, NW Turkey. In the study area, the lithological units of the Tuzla geothermal field and the surrounding area consist of Miocene volcanic (trachyandesite, trachyte, and ignimbrites) and Pliocene sedimentary (conglomerate, sandstone, and mudstone) rocks with siliceous, argillaceous, and ferrous alteration linked to the geothermal fluid. ASTER visible/near-infrared (VNIR), short-wave infrared (SWIR), and TIR bands were analyzed by different approaches in order to highlight hot springs in the study area. From these approaches, band ratios were constructed from ASTER VNIR, SWIR, and TIR bands for obtaining geological properties of the region. The geothermal areas were defined by the minimum noise fraction (MNF) and principal component analysis (PCA) methods that was extracted from 5 thermal infrared (TIR) bands as well. Land surface temperatures (LST) support the results from MNF and PCA that were estimated for 5 TIR bands using the inversion of Planck function method. Four days of data including daytime and nighttime satellite images from ASTER were used for the analysis. The used procedure displayed a good match with the ground reality based on field observations in the Tuzla Region.

Keywords

Geothermal area Geological extraction ASTER Band ratio Land surface temperature 

Notes

Acknowledgments

The ASTER L1T data product was retrieved from the online Data Pool, courtesy of NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/data_access/data_pool. This paper benefited from valuable comments and suggestions from the Editor and two anonymous reviewers. Finally, the authors acknowledge the technical help of Ms. Catherine Yigit in the preparation of the manuscript.

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Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  • R. Cuneyt Erenoglu
    • 1
    Email author
  • Niyazi Arslan
    • 2
  • Oya Erenoglu
    • 3
  • Enis Arslan
    • 4
  1. 1.Department of Geomatics EngineeringCanakkale Onsekiz Mart UniversityCanakkaleTurkey
  2. 2.Department of Geomatics EngineeringCukurova University, Ceyhan CampusCeyhanTurkey
  3. 3.Department of Geography EducationCanakkale Onsekiz Mart UniversityCanakkaleTurkey
  4. 4.Department of Computer EngineeringCukurova UniversityAdanaTurkey

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