PENDEFINISIAN PROSPEK NIKEL LATERIT BERBASIS DATA HIPERSPEKTRAL DAN TOPOGRAFI DIGITAL DI PROSPEK TAPUNOPAKA, KABUPATEN KONAWE UTARA, PROVINSI SULAWESI TENGGARA
Nickel demand is projected to increase until 2040, while the supply is anticipated to experience no significant increase starting in 2028, resulting in a potential nickel supply deficit. This looming deficit has spurred an increase in nickel exploration activities. However, early stages explorati...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87237 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Nickel demand is projected to increase until 2040, while the supply is anticipated
to experience no significant increase starting in 2028, resulting in a potential nickel
supply deficit. This looming deficit has spurred an increase in nickel exploration
activities. However, early stages exploration activities possess a high risk. To
address this issue, an economical exploration method is needed. Remote sensing
can be applied in the early stages of exploration to identify potential mineral
deposits, including nickel laterite. This study aims to determine the criteria for
potential nickel laterite areas based on remote sensing using hyperspectral satellite
images. Mineral mapping and feature classification were conducted using satellite
spectral data. The target feature in this study is goethite, a mineral found in the
nickel laterite zone near the surface. PRISMA hyperspectral satellite images
acquired by the Italian Space Agency were used. The band ratio and unmixing
methods were used to detect the goethite distribution. The band ratio method was
used to define the goethite index anomaly. Additionally, the unmixing method was
employed to separate goethite from surrounding features within a single pixel, as
these fe -meter spatial resolution, so the
feature classification in sub-pixels can be obtained. The band ratio based on the
three equations used in the study gives a goethite index anomaly value of 1.6, 1.1,
and 1.8 based on equations 1, 2, and 3. While the goethite probability criteria based
on the unmixing is 0.8 (80%). The goethite mineral index as a band ratio result and
goethite probability as an unmixing result evaluated using field data such as
goethite content data from XRD results, laterite thickness, and laterite distribution
show a good correlation. Correlation of band ratio and unmixing results to XRD
goethite content gave R2 values of 0.7 and 0.8. Therefore, remote sensing analysis
using the band ratio method and unmixing in this study provides effective results
for the identification of goethite minerals as an indicator of laterite nickel deposits
in the study area.
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