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Title: Spectral sensitivity of ALOS, ASTER, IKONOS, LANDSAT and SPOT satellite imagery intended for the detection of archaeological crop marks
Authors: Alexakis, Dimitrios 
Hadjimitsis, Diofantos G. 
Agapiou, Athos 
Major Field of Science: Natural Sciences
Field Category: Earth and Related Environmental Sciences
Keywords: Spectral sensitivity;Spectroscopy;Archaeology
Issue Date: 4-Apr-2012
Source: International Journal of Digital Earth, 2012, vol.7, no.5, pp. 351-372
Volume: 7
Issue: 5
Start page: 351
End page: 372
Journal: International Journal of Digital Earth 
Abstract: This study compares the spectral sensitivity of remotely sensed satellite images, used for the detection of archaeological remains. This comparison was based on the relative spectral response (RSR) Filters of each sensor. Spectral signatures profiles were obtained using the GER-1500 field spectroradiometer under clear sky conditions for eight different targets. These field spectral signature curves were simulated to ALOS, ASTER, IKONOS, Landsat 7-ETM+, Landsat 4-TM, Landsat 5-TM and SPOT 5. Red and near infrared (NIR) bandwidth reflectance were re-calculated to each one of these sensors using appropriate RSR Filters. Moreover, the normalised difference vegetation index (NDVI) and simple ratio (SR) vegetation profiles were analysed in order to evaluate their sensitivity to sensors spectral filters. The results have shown that IKONOS RSR filters can better distinguish buried archaeological remains as a result of difference in healthy and stress vegetation (approximately 1–8% difference in reflectance of the red and NIR band and nearly 0.07 to the NDVI profile). In comparison, all the other sensors showed similar results and sensitivities. This difference of IKONOS sensor might be a result of its spectral characteristics (bandwidths and RSR filters) since they are different from the rest of sensors compared in this study.
ISSN: 1753-8955
DOI: 10.1080/17538947.2012.674159
Type: Article
Affiliation : Cyprus University of Technology 
Appears in Collections:Άρθρα/Articles

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