APA Style
Khademi, V. , Khademi, V. Heyhat, M. R. , Heyhat, M. R. Forghani, A. , Forghani, A. Khatib, M. M. , Khatib, M. M. Zarrinkoub, M. H. , & Zarrinkoub, M. H. (2021). An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran.
Current Research in Public Health, 1(1), 50-59.
https://doi.org/10.31586/wjgg.2021.168
ACS Style
Khademi, V. ; Khademi, V. Heyhat, M. R. ; Heyhat, M. R. Forghani, A. ; Forghani, A. Khatib, M. M. ; Khatib, M. M. Zarrinkoub, M. H. ; Zarrinkoub, M. H. An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran.
Current Research in Public Health 2021 1(1), 50-59.
https://doi.org/10.31586/wjgg.2021.168
Chicago/Turabian Style
Khademi, V., V. Khademi. M. R. Heyhat, M. R. Heyhat. A. Forghani, A. Forghani. M. M. Khatib, M. M. Khatib. M. H. Zarrinkoub, and M. H. Zarrinkoub. 2021. "An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran".
Current Research in Public Health 1, no. 1: 50-59.
https://doi.org/10.31586/wjgg.2021.168
AMA Style
Khademi V, Khademi VHeyhat MR, Heyhat MRForghani A, Forghani AKhatib MM, Khatib MMZarrinkoub MH, Zarrinkoub MH. An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran.
Current Research in Public Health. 2021; 1(1):50-59.
https://doi.org/10.31586/wjgg.2021.168
@Article{crph168,
AUTHOR = {Khademi, V. and Heyhat, M. R. and Forghani, A. and Khatib, M. M. and Zarrinkoub, M. H. and Khader, H. Hadizadeh},
TITLE = {An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2021},
NUMBER = {1},
PAGES = {50-59},
URL = {/10.31586/wjgg-1-1-510.31586/wjgg/1/1/5},
ISSN = {2831-5162},
DOI = {10.31586/wjgg.2021.168},
ABSTRACT = {Kaybarkuh (Mount Kaybar) consists of intrusive igneous bodies with two age periods, located in North of Dasht-e-Bayaz left-lateral fault terminal. The spatial and structural analysis of fractures and dike networks may allow for the accurate identification of mineralization zones in the area. This study aims to characterize lineament network in the study area by automatic method using multispectral satellite images from Landsat 8 Operational Land Imager (OLI), visual extraction of lineaments from Landsat-8 and SENTINEL-2 images, and extraction of drainage network as lineament based on digital elevation models (DEMs) and their validation, compared with fault network of the area. The results showed that there is a significant relationship between the trend of studied lines in the region by the three methods mentioned and the overall trend is about N330⁰. This can indicate a tensile regime with a trend perpendicular to the mentioned orientation, which results from the activity of the Dasht-e-Bayaz fault. Finding more evidences requires further studies.},
}
%0 Journal Article
%A Khademi, V.
%A Heyhat, M. R.
%A Forghani, A.
%A Khatib, M. M.
%A Zarrinkoub, M. H.
%A Khader, H. Hadizadeh
%D 2021
%J Current Research in Public Health
%@ 2831-5162
%V 1
%N 1
%P 50-59
%T An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran
%M doi:10.31586/wjgg.2021.168
%U /10.31586/wjgg-1-1-510.31586/wjgg/1/1/5
TY - JOUR
AU - Khademi, V.
AU - Heyhat, M. R.
AU - Forghani, A.
AU - Khatib, M. M.
AU - Zarrinkoub, M. H.
AU - Khader, H. Hadizadeh
TI - An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran
T2 - Current Research in Public Health
PY - 2021
VL - 1
IS - 1
SN - 2831-5162
SP - 50
EP - 59
UR - /10.31586/wjgg-1-1-510.31586/wjgg/1/1/5
AB - Kaybarkuh (Mount Kaybar) consists of intrusive igneous bodies with two age periods, located in North of Dasht-e-Bayaz left-lateral fault terminal. The spatial and structural analysis of fractures and dike networks may allow for the accurate identification of mineralization zones in the area. This study aims to characterize lineament network in the study area by automatic method using multispectral satellite images from Landsat 8 Operational Land Imager (OLI), visual extraction of lineaments from Landsat-8 and SENTINEL-2 images, and extraction of drainage network as lineament based on digital elevation models (DEMs) and their validation, compared with fault network of the area. The results showed that there is a significant relationship between the trend of studied lines in the region by the three methods mentioned and the overall trend is about N330⁰. This can indicate a tensile regime with a trend perpendicular to the mentioned orientation, which results from the activity of the Dasht-e-Bayaz fault. Finding more evidences requires further studies.
DO - An Application of Remote Sensing Imagery for Geological Lineaments Extraction over Kaybarkuh Region in East of Iran
TI - 10.31586/wjgg.2021.168
ER -