Morteza Sheshpari

Morteza Sheshpari

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 June 2012 in International Journal of Remote Sensing
Verified
Journal Article
Closed access
PBP. Behnia
P. Behnia
JHJeff Harris
Jeff Harris
RRR. H. Rainbird
R. H. Rainbird
MWM. C. Williamson
M. C. Williamson
MSMorteza Sheshpari
Morteza Sheshpari
Supervised classification (robust classification method) of Landsat-7 and SPOT-5 data was used to analyse the bedrock geology of a part of the western Minto Inlier on Victoria Island, Canada. The robust classification method was used as it provides a series of uncertainty measures for evaluating the classification results. Six bedrock classes including gabbro, basalt, carbonate of the Wynniatt Formation, quartz-arenite of the Kuujjua Formation, evaporite of the Minto Inlet and Killian Formations and Paleozoic carbonate together with six surficial classes including vegetation were defined as the training data set. The resulting classified images derived from the Landsat and SPOT data were very similar in terms of the regional distribution of lithological classes, as reflected by fairly high classification accuracies for both image types. Gabbro and basalt, despite having a similar mineralogical composition, are spectrally distinct throughout most of the study area. Complicating spectral signatures of overlying glacial sediments and/or other overburden materials and spectral similarities between some of the lithologies caused poorer classification in some areas. Generally, the Landsat imagery provided better spectral separability between most of the lithological units than the SPOT imagery. However, in certain areas where the spectral separation between different lithologies is not dependant on the shortwave infrared-2 (SWIR-2; band 7 on Landsat) and/or blue bands (band 1 on Landsat), the SPOT imagery provided a better classification because of higher spatial resolution.

27 May 2011 in Geochemistry: Exploration, Environment, Analysis
Verified
Journal Article
Closed access
EKEric De Kemp
Eric De Kemp
TMT. Monecke
T. Monecke
MSMorteza Sheshpari
Morteza Sheshpari
EGE. Girard
E. Girard
KLK. Lauzière
K. Lauzière
GBGilles Bellefleur
Gilles Bellefleur

1 April 2017 in Tunnelling and Underground Space Technology
Verified
Journal Article
Closed access
MSMorteza Sheshpari
Morteza Sheshpari
YFYoshiaki Fujii
Yoshiaki Fujii
TTTakuya Tani
Takuya Tani

7 June 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
YFYoshiaki Fujii
Yoshiaki Fujii
MSMorteza Sheshpari
Morteza Sheshpari
JKJun-Ichi Kodama
Jun-Ichi Kodama
DFDaisuke Fukuda
Daisuke Fukuda
ADAnjula Dassanayake
Anjula Dassanayake
Catastrophic volcanic eruptions, large earthquakes beneath big cities, or giant earthquakes at subduction zones are apparently the biggest problems facing the sustainability of human society. However, imminent prediction methods for these events have never been established, except that volcanic eruptions can only be predicted by exceptional efforts by dedicated researchers. Even if a prediction method has been established, the method cannot significantly reduce infrastructure damage, although it could slightly reduce the number of fatalities. On the other hand, prevention of eruptions or earthquakes could significantly reduce, not only the number of fatalities, but also infrastructure damage. Therefore, the authors propose (1) gradual energy release by supercritical power generation to prevent catastrophic eruptions; (2) gradual seismic energy release by injecting water into seismic sources to prevent large earthquakes beneath big cities; and (3) exploding existing nuclear warheads underground to prevent giant earthquakes at subduction zones. Necessary technical developments, costs, risks, and problems will also be explained.