Mineral potential mapping of gold in Loei Province, north eastern part of Thailand using GIS, remote sensing and geophysical data | |
| Author | Borah, Rittick |
| Call Number | AIT Thesis no.RS-06-9 |
| Subject(s) | Gold mines and mining--Remote sensing--Thaiand--Loei Geographic information systems--Thailand--Loei |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science |
| Publisher | Asian Institute of Technology |
| Abstract | The presence of mineral deposits substantially contributes to country economy. Mineral exploration is necessary to detect subsurface mineral deposits. Mineral exploration is very expensive and time consuming. Hence, efficient techniques are required to reduce a large search area to a highly potential small area where detail subsurface exploration will be carried out to find mineral deposits. This will increase efficiency of mineral exploration in terms of finding mineral deposits in low cost and less time. Mineral deposit leaves guides called ore guides like alteration, high magnetic anomaly during their deposition. The extraction of the guides, understanding their spatial association with mineral deposit occurrence followed by their integration can lead to finding of mineral deposits. The ore guides can be extracted from remote sensing and geophysic data and can be integrated in GIS environment in an efficient way to find mineral potential areas. This research proposes to find out the most suitable technique for gold potential mapping from existing techniques by integration of remote sensing, GIS and geophysics. The modeling used in this research include two types namely data driven model (Weight of Evidence model) and knowledge driven model (Analytical Hierarchy Process). Further, fuzzy logic is implemented in knowledge driven model with an objective of true representation of spatial features and to see whether its implementation increases mineral deposit prediction accuracy. The study area is located in Loei province, north eastern part of Thailand and gold mineral is considered as target mineral due to its economic importance and presence in the study area. The results shows implementation of fuzzy logic increases prediction accuracy of knowledge driven model. However data driven model performs better than knowledge driven model which indicates expert knowledge based on literature overview could not truly reflect the ground conditions in term of gold mineralization in the study area |
| Year | 2006 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Susaki, Junichi |
| Examination Committee(s) | amarakoon, Lal;Shrestha, Rajendra P.;Kachentra Neawsuparp;Manzul Kumar Hazarika |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2006 |