IDENTIFICATION OF CASSITERITE-ASSOCIATED MINERALS DISTRIBUTION AT BELINYU TIN MINE, BANGKA BELITUNG USING HIGH RESOLUTION OPTICAL SENSOR SATELLITE IMAGE
Bangka Island is located in the tin belt of Southeast Asia, so it has a high potential for tin deposits. The presence of tin deposits is associated with cassiterite-associated minerals such as ilmenite, magnetite, and rutile, including rare earth bearing including monazite, xenotime, and zircon. Th...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67832 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Bangka Island is located in the tin belt of Southeast Asia, so it has a high potential for tin deposits. The presence of tin deposits is associated with cassiterite-associated
minerals such as ilmenite, magnetite, and rutile, including rare earth bearing including monazite, xenotime, and zircon. The potential for using cassiteriteassociated and rare earth-bearing minerals will be very high given the current technological advances. This study aims to identify the distribution of cassiteriteassociated minerals at the tin mine site in Riding Panjang Village, Bangka Regency using a high-resolution optical sensor image. Image processing method using band ratio, spectral angle mapper, linear spectral unmixing, matched filtering, and principal component analysis. The image used is WorldView-3 (WV3) which has 8 visible near-infrared (VNIR) bands and 8 shortwave infrared (SWIR) bands with each spatial resolution of 1.24 m and 3.7 m. Image processing is applied with the input end member resulting from resampling of WV3 image with the United States Geological Survey spectral database. Rare earth minerals and ferrous minerals can be detected with the VNIR band while the SWIR band is used for the identification of
clay minerals. Heavy minerals of ore such as ilmenite and magnetite are hard to identify with images because their absorption patterns are widely distributed over the entire wavelength. The results of the image processing were validated by laboratory analysis of reflectance spectroscopy, X-ray diffraction, and microscopic observations. The sample analysis showed the presence of magnetite, ilmenite, hematite, goethite, monazite, quartz, rutile, zircon, and kaolin-smectite. From this research, it is concluded that satellite imagery can identify the distribution of cassiterite-associated minerals with various methods. |
|---|