Imperial College London
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Dr Cédric M. John

Faculty of Engineering, Department of Earth Science & Engineering

Visiting Reader
 
 
 
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Contact

 

cedric.john Website

 
 
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Location

 

N/ARoyal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Beckert:2018:10.1080/01431161.2018.1452068,
author = {Beckert, J and Vandeginste, V and McKean, TJ and Alroichdi, A and John, CM},
doi = {10.1080/01431161.2018.1452068},
journal = {International Journal of Remote Sensing},
pages = {4088--4114},
title = {Ground-based hyperspectral imaging as a tool to identify different carbonate phases in natural cliffs},
url = {http://dx.doi.org/10.1080/01431161.2018.1452068},
volume = {39},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Recent research has shown hyperspectral imaging to be a powerful tool to distinguish carbonate phases with slight compositional differences on quarry cliff faces. The traditional remote sensing set-up uses an optimal short distance between the hyperspectral camera mounted on a tripod and a quarry wall characterized by a planar, mostly unweathered surface. Here we present results of a modified workflow geared to the application of ground-based hyperspectral imaging of rough and weathered cliff faces in order to map large scale dolomite bodies from a distance of up to several kilometres. The goal of the study was to determine unique spectral properties of fracture-controlled dolomite bodies in order to be able to distinguish them from a dolomitic host rock. In addition, the impact of weathering on carbonate phases and thus, the modification of the spectral signature between altered and unaltered carbonates is assessed. The spectral analysis is complemented by ICP-AES (inductively coupled plasma atomic emission spectroscopy) measurements of the spectrally measured powders. Furthermore, we examined the detection limits and characterisation potential of dolomite bodies from hyperspectral images captured at varying distances from cliff faces in the study area. Hyperspectral images of 10 natural cliffs distributed across the Central Oman Mountains were obtained with a Push broom scanner system. The high resolution of 5.45 nm (288 bands in total) enabled the visualization of small-scale changes in the near infrared continuous spectrum of all present lithofacies types. The determination of dolomite bodies of varying sizes (metre to hundreds of metres) on natural cliffs was achieved with the hyperspectral mapping approach and mapping results have been tested with the position of visually defined dolomite bodies on field panoramas. Spectra of natural cliffs contain a strong absorption peak indicative for iron which is absent in spectra of unweathered sample powders. However, I
AU  - Beckert,J
AU  - Vandeginste,V
AU  - McKean,TJ
AU  - Alroichdi,A
AU  - John,CM
DO  - 10.1080/01431161.2018.1452068
EP  - 4114
PY  - 2018///
SN  - 0143-1161
SP  - 4088
TI  - Ground-based hyperspectral imaging as a tool to identify different carbonate phases in natural cliffs
T2  - International Journal of Remote Sensing
UR  - http://dx.doi.org/10.1080/01431161.2018.1452068
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000428263200009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/63561
VL  - 39
ER  -
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