2017
DOI: 10.1080/19475705.2017.1318794
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Determining lateral offsets of rocks along the eastern part of the North Anatolian Fault Zone (Turkey) using spectral classification of satellite images and field measurements

Abstract: View related articlesView Crossmark data Citing articles: 2 View citing articlesDetermining lateral offsets of rocks along the eastern part of the North Anatolian Fault Zone (Turkey) using spectral classification of satellite images and field measurements

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Cited by 11 publications
(6 citation statements)
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“…Active faulting can also laterally displace catchments, affecting the spatial distribution of knickzones and hence the spatial planform of calculated uplift histories. However, estimates of the cumulative offset across the North Anatolian Fault, the dominant tectonic structure, range between 50 and 110 km (Akbayram et al, ; Gürsoy et al, ; Hubert‐Ferrari et al, ). These estimates are small compared to the length scales of regional uplift resolved by inverse modeling.…”
Section: Inverse Modeling Of River Profilesmentioning
confidence: 99%
“…Active faulting can also laterally displace catchments, affecting the spatial distribution of knickzones and hence the spatial planform of calculated uplift histories. However, estimates of the cumulative offset across the North Anatolian Fault, the dominant tectonic structure, range between 50 and 110 km (Akbayram et al, ; Gürsoy et al, ; Hubert‐Ferrari et al, ). These estimates are small compared to the length scales of regional uplift resolved by inverse modeling.…”
Section: Inverse Modeling Of River Profilesmentioning
confidence: 99%
“…The spectoradiometer measurements within the wavelenght range of of 350-2500 nm were resampled to spectral region ASTER SWIR bands to be used as endmember (Fig 2). It is necessary to correct the sensor properties for the known crosstalk error, and this is also the initial processing of the Aster image [21]. Operations such as crosstalk adjustment, radiance calibration and reflectance transformation are included in the applications of imaging spectrometry analysis to improve utility of atmospheric correction.…”
Section: Materials and Methodologymentioning
confidence: 99%
“…Ana bileşenler yönteminde olduğu gibi dekorelasyon gerilmesi, yüksek korelasyona sahip çok bantlı görüntülerde renk zenginleştirmesi yapan bir yöntemdir. Renklerde meydana gelen yoğunlaşma ile görsel yorumlanabilirliğin artırılmasını sağlamaktadır [33,34]. Bu çalışma kapsamında, ASTER uydusunun SWIR bantlarından en düşük korelasyona sahip 9-7-4 nolu bantlarına dekorelasyon gerilmesi uygulanmıştır.…”
Section: Dekorelasyon Gerilmesiunclassified