Universiti Teknologi Malaysia Institutional Repository

Integration of satellite remote sensing data for gold prospecting in tropical regions

Pour, Amin Beiranvand and Hashim, Mazlan (2015) Integration of satellite remote sensing data for gold prospecting in tropical regions. In: 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, (ACRS 2015), 24-28 Oct, 2015, Manila, Philippines.

Full text not available from this repository.

Official URL: https://pure.utm.my/en/publications/integration-of...

Abstract

The area under investigation is the Bau gold mining district in the State of Sarawak, East Malaysia, on the island of Borneo. It has tropical climate with limited bedrock exposures and the other constraints imposed in the environment. Bau is a gold field with Carlin style gold deposits. Geological analyses coupled with remote sensing data were used to detect structure elements and hydrothermally altered rocks associated with gold mineralization. The Landsat Enhanced Thematic Mapper + (ETM+), the Phased Array type L-band Synthetic Aperture Radar (PALSAR) and the Hyperion data were integrated to carry out lithological-structural mapping of mineralized zones in the study area and surrounding terrains. Hydrothermally alteration mineral zones were detected along the SSW to NNE structural trend of the Tai Parit fault that corresponds to the areas of occurrence of the gold mineralization in the Bau Limestone. The results show that the known gold prospects and potentially interesting areas are recognizable by the methods used, despite limited bedrock exposure in this region and the constraints imposed by the tropical environment. The approach used in this study can be more broadly applicable to provide an opportunity for detecting potentially interesting areas of gold mineralization using the integration of ETM+, PALSAR and the Hyperion data in the tropical/sub-tropical regions.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:gold prospecting, landsat
Subjects:G Geography. Anthropology. Recreation > G Geography (General) > G70.39-70.6 Remote sensing
Divisions:Geoinformation and Real Estate
ID Code:61592
Deposited By: Fazli Masari
Deposited On:26 Apr 2017 03:51
Last Modified:26 Apr 2017 03:51

Repository Staff Only: item control page