Articles | Volume 9, issue 2
https://doi.org/10.5194/se-9-373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-9-373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Mar 2018
Research article |
| 28 Mar 2018
Remote-sensing data processing with the multivariate regression analysis method for iron mineral resource potential mapping: a case study in the Sarvian area, central Iran
Edris Mansouri
Department of Geology, Science and Research branch, Islamic Azad University, Tehran, Iran
Faranak Feizi
CORRESPONDING AUTHOR
Department of Mining Engineering, South Tehran branch, Islamic Azad University, Tehran, Iran
Alireza Jafari Rad
Department of Geology, Science and Research branch, Islamic Azad University, Tehran, Iran
Mehran Arian
Department of Geology, Science and Research branch, Islamic Azad University, Tehran, Iran
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Cited
19 citations as recorded by crossref.
- Multivariate Regression Analysis and Error Estimation in Formation Satellite M. Doshi et al. 10.1134/S1063772922080030
- Statistical analysis of materials surface temperature from regression models: A case study of Jaipur city, India K. Vaibhav Sharma et al. 10.1016/j.matpr.2020.04.814
- Jolfa Micro-Block in the Late Cretaceous‒Miocene (Azarbaijan Province, NW Iran): Paleostress-Field Analysis Using Inversion Method H. Khodabakhshi et al. 10.1134/S0016852122050041
- Investigating the Capabilities of Various Multispectral Remote Sensors Data to Map Mineral Prospectivity Based on Random Forest Predictive Model: A Case Study for Gold Deposits in Hamissana Area, NE Sudan A. Mohamed Taha et al. 10.3390/min13010049
- The Role of Razak Fault in Controlling the Sedimentary Basin and Hydrocarbon Systems in External Fars Region, Zagros, Iran M. Hosseinpour et al. 10.1134/S0016852123060055
- A PLSR model to predict soil salinity using Sentinel-2 MSI data G. Sahbeni 10.1515/geo-2020-0286
- Basement Faults Effect on the Folding Style: A Case Study from Hendurabi Fault, Zagros, Iran S. Ghalandari et al. 10.1134/S0016852123040064
- Mineral exploration employing drones, contemporary geological satellite remote sensing and geographical information system (GIS) procedures: A review G. Sikakwe 10.1016/j.rsase.2023.100988
- Geochemical Anomaly and Mineral Prospectivity Mapping for Vein-Type Copper Mineralization, Kuhsiah-e-Urmak Area, Iran: Application of Sequential Gaussian Simulation and Multivariate Regression Analysis A. Karbalaei Ramezanali et al. 10.1007/s11053-019-09565-7
- Application of artificial neural network models and random forest algorithm for estimation of fracture intensity from petrophysical data M. Zaiery et al. 10.1007/s13202-023-01661-y
- Geochemical characteristics and oil–oil correlation of the upper Cretaceous oils from the Iranian part of the Persian Gulf Basin F. Talaie et al. 10.1007/s13202-023-01669-4
- Application of multivariate regression on magnetic data to determine further drilling site for iron exploration F. Feizi et al. 10.1515/geo-2020-0165
- Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration M. Abrams & Y. Yamaguchi 10.3390/rs11111394
- A review of machine learning in processing remote sensing data for mineral exploration H. Shirmard et al. 10.1016/j.rse.2021.112750
- Application of Best-Worst method and Additive Ratio Assessment in mineral prospectivity mapping: A case study of vein-type copper mineralization in the Kuhsiah-e-Urmak Area, Iran A. Karbalaei Ramezanali et al. 10.1016/j.oregeorev.2019.103268
- Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images A. Ivanda et al. 10.3390/electronics10233004
- Soil salinity mapping using Landsat 8 OLI data and regression modeling in the Great Hungarian Plain G. Sahbeni 10.1007/s42452-021-04587-4
- The Relationship between Fe Mineralization and Magnetic Basement Faults using Multifractal Modeling in the Esfordi and Behabad Areas (BMD), Central Iran M. NABILOU et al. 10.1111/1755-6724.14765
- Insights Into Microseism Sources by Array and Machine Learning Techniques: Ionian and Tyrrhenian Sea Case of Study S. Moschella et al. 10.3389/feart.2020.00114
19 citations as recorded by crossref.
- Multivariate Regression Analysis and Error Estimation in Formation Satellite M. Doshi et al. 10.1134/S1063772922080030
- Statistical analysis of materials surface temperature from regression models: A case study of Jaipur city, India K. Vaibhav Sharma et al. 10.1016/j.matpr.2020.04.814
- Jolfa Micro-Block in the Late Cretaceous‒Miocene (Azarbaijan Province, NW Iran): Paleostress-Field Analysis Using Inversion Method H. Khodabakhshi et al. 10.1134/S0016852122050041
- Investigating the Capabilities of Various Multispectral Remote Sensors Data to Map Mineral Prospectivity Based on Random Forest Predictive Model: A Case Study for Gold Deposits in Hamissana Area, NE Sudan A. Mohamed Taha et al. 10.3390/min13010049
- The Role of Razak Fault in Controlling the Sedimentary Basin and Hydrocarbon Systems in External Fars Region, Zagros, Iran M. Hosseinpour et al. 10.1134/S0016852123060055
- A PLSR model to predict soil salinity using Sentinel-2 MSI data G. Sahbeni 10.1515/geo-2020-0286
- Basement Faults Effect on the Folding Style: A Case Study from Hendurabi Fault, Zagros, Iran S. Ghalandari et al. 10.1134/S0016852123040064
- Mineral exploration employing drones, contemporary geological satellite remote sensing and geographical information system (GIS) procedures: A review G. Sikakwe 10.1016/j.rsase.2023.100988
- Geochemical Anomaly and Mineral Prospectivity Mapping for Vein-Type Copper Mineralization, Kuhsiah-e-Urmak Area, Iran: Application of Sequential Gaussian Simulation and Multivariate Regression Analysis A. Karbalaei Ramezanali et al. 10.1007/s11053-019-09565-7
- Application of artificial neural network models and random forest algorithm for estimation of fracture intensity from petrophysical data M. Zaiery et al. 10.1007/s13202-023-01661-y
- Geochemical characteristics and oil–oil correlation of the upper Cretaceous oils from the Iranian part of the Persian Gulf Basin F. Talaie et al. 10.1007/s13202-023-01669-4
- Application of multivariate regression on magnetic data to determine further drilling site for iron exploration F. Feizi et al. 10.1515/geo-2020-0165
- Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration M. Abrams & Y. Yamaguchi 10.3390/rs11111394
- A review of machine learning in processing remote sensing data for mineral exploration H. Shirmard et al. 10.1016/j.rse.2021.112750
- Application of Best-Worst method and Additive Ratio Assessment in mineral prospectivity mapping: A case study of vein-type copper mineralization in the Kuhsiah-e-Urmak Area, Iran A. Karbalaei Ramezanali et al. 10.1016/j.oregeorev.2019.103268
- Mapping Chlorophyll-a Concentrations in the Kaštela Bay and Brač Channel Using Ridge Regression and Sentinel-2 Satellite Images A. Ivanda et al. 10.3390/electronics10233004
- Soil salinity mapping using Landsat 8 OLI data and regression modeling in the Great Hungarian Plain G. Sahbeni 10.1007/s42452-021-04587-4
- The Relationship between Fe Mineralization and Magnetic Basement Faults using Multifractal Modeling in the Esfordi and Behabad Areas (BMD), Central Iran M. NABILOU et al. 10.1111/1755-6724.14765
- Insights Into Microseism Sources by Array and Machine Learning Techniques: Ionian and Tyrrhenian Sea Case of Study S. Moschella et al. 10.3389/feart.2020.00114
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