Mine void identification using Object-based Image Analysis (OBIA) of satellite imagery Sentinel 2 data

Open pit mining is an extensively-used method in Indonesian coal mining. This characterized by the formation of mine void at end life-of-mine (LOM) due to insufficient material backfill mine-out areas. Mine voids are legally accepted as one closure options and categorized “<em>Reklamasi Bentuk Lain</em>” - a miscellaneous reclamation option (Decree Minister Energy Mineral Resources/KepMen ESDM No.1827, 2018), However, unmanageable will exert negative impacts. The identification mapping spatially imperative give stakeholders ample information construct viable management benefit all stakeholders. In this research, Sentinel 2 satellite image data used for land monitoring so that can be mapped based on cover classification. classification was carried out Object-based Image Analysis (OBIA) method. has good level accuracy, ranging from 86.1 96.4%. Based classification, potential analyzed their shape, where have elongation values 0.2-1.0 circularity 0.1-0.8. addition, location they found (referred Mining License Area/WIUP data). 2018 there were 40 inside WIUP 5 outside WIUP, while 2020, 62 8 identified study area. final result void, i.e. void-1 could not further distinguished between sumps, voids, or ponds without additional analysis. On other hand, void-2 assigned natural water bodies illegal activities. Subsequent studies using more elaborated data, processes, analysis important, enhance accuracy images.