PEMETAAN LUBANG BEKAS TAMBANG (MINE VOID) MENGGUNAKAN DATA CITRA SATELIT SENTINEL-2
The open pit mining method is the most widely mining method used in Indonesian coal mines. At the end of an open pit mining activities, it has the potential to leave voids, which are caused by a shortage of overburden during the backfilling process. The voids left have the potential to be filled wit...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/68009 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The open pit mining method is the most widely mining method used in Indonesian coal mines. At the end of an open pit mining activities, it has the potential to leave voids, which are caused by a shortage of overburden during the backfilling process. The voids left have the potential to be filled with rainwater and groundwater and form a pit lake. In post-mining planning, pit lakes are categorized as “Reklamasi Bentuk Lain” that can be used as water reservoirs, flood control, ecosystem buffering, aquaculture, agriculture
and/or power generation. However, if it is left without a proper management, the void (which will become a pit lake) has the potential to cause negative impacts on the
community and the surrounding environment. Therefore, the presence of voids that are formed needs to be identified spatially so that they can be monitored as early as possible and management options can be arranged earlier.
Sentinel 2 image data can be used for land monitoring, so that voids can be identified based on the image data. Void mapping was carried out based on land cover
classification which had the best accuracy based on the kappa coefficient. Land cover classification using The Object-Based Image Analysis (OBIA) method has the best
accuracy compared to the spectral indices (NDVI, NDWI, and MNDWI). The kappa spectral index coefficients (NDVI, NDWI, MNDWI) in 2018 and 2020 are on average
below 80% while the OBIA kappa coefficient values in 2018 and 2020 are 86.1% and 96.4%, respectively which guiding on the utilization of the OBIA method based on the
analysis of water bodies identified based on land cover classification for voids mapping. Based on Sentinel 2 image data, the potential voids have a minimum area of 1 ha, with
elongation values 0.2 – 1 and circularity 0.1 – 0.8. The void potential is divided into 2 categories based on the WIUP, namely the void potential inside and outside of the WIUP.
Potential voids in WIUP are classified into 2 based on land cover, namely final voids and non-final voids. Based on these parameters, in 2018 there were 40 potential voids in the
WIUP consisting of 10 final voids and 30 non-final voids, while in 2020 there were 62 potential voids in the WIUP consisting of 28 final voids and 34 non-final voids whereas
in 2018 and 2020, there were 5 and 8 potential voids, respectively |
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