The Novel Method in Validating the Spectral Wavelength Optimization to Determine Archaeological Proxies by the Integration of Aerial and Ground Platforms

Authors

  • Shairatul Akma Roslan Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Fitri Yakub Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Shuib Rambat Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Sharifah Munawwarah Faculty of Systems and Information Engineering, University of Tsukuba, Tsukuba 305-8573, Japan
  • Mokhtar Saidin Centre for Global Archaeology Research (CGAR), Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia
  • Farah Liana Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Nurshafinaz Mohd Maruai Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Mohamed Sukri Mat Ali Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
  • Ahmad Faiz Mohammad Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia

Keywords:

CEE Method, Optimal Spectral, Vegetation Indices, Spectral Analysis Remote Sensing, Geophysical

Abstract

This research proposed a novel method for evaluating the ideal spectral wavelength by integrating the aerial remote sensing image and geophysical techniques to improve the detection of buried archaeological proxies via the spectral wavelength. Eight different wavelength ranges were compared to eight distinct spectral indices to conduct a more thorough vegetation analysis. The spectral information from eight various Vegetation Indices and two types of resistivity data was then analyzed using a Linear Regression model. Then, the novel "Constant Experimental Evaluation" method (CEE)  was developed to improve the preliminary result. Subsequently, the results outlined newly optimal spectral wavelengths by enhancing correlation coefficient R2 values, before (R2=0.595) to (R2=0.86) after CEE application, with the spectral wavelengths values of (NIRnew=0.783µm) and (Rednew=0.627µm) along with the 50% of image enhancement. It suggests that the technique may be significant to any archaeological site that presents spectrally differently from its immediate environment.

Author Biography

Fitri Yakub, Malaysia–Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia

mfitri.kl@utm.my

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Published

2024-07-12

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Articles