Investigation of Minerals Using Hyperspectral Satellite Imagery in Bangladesh

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2020
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Mineral identification using remote sensing technologies is being became more dominant in this field since it saves time with demonstrating a more effective way for land resources survey. In of such remote sensing technologies, hyperspectral remote sensing (HSRS) technology has increased gradually for its efficient manner. This technology usually used from an airborne platform, i.e., satellite. Hence, satellite imagery remote sensing technology now more capable to provide the accuracy in mineral identification, and mapping. Hyperspectral satellite imagery or HS remote sensing technology is able to identify minerals finely compared to traditional technologies in remote sensing. HS imagery has made it possible to construct a complete reflectance of spectrum from each pixel with its advanced imaging sensor, which gives advances in mineral identification with more accuracy. Bangladesh is a developing country with an area of 1,50,000 square kilometer located in South East Asia. Though it is a small country, it is enriched with a number of mineral resources. This study using hyperspectral imaging technology will exercise on some major identical areas of Bangladesh to detect/identify minerals there. As there is not much study done in Bangladesh using hyperspectral imaging, it is a good opportunity to explore this field. In this study, FLAASH (Fast Line-of-sight Atmospheric Analysis) module with necessary parameter settings are used to filtering the data, and finally mineral identification is being thought by MTMF method.
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Electrical and Computer Engineering
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North South University
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