Pemanfaatan Penginderaan Jauh Dalam Penilaian Keberhasilan Reklamasi di Lahan Pasca Tambang PT. Vale Indonesia
Abstract
Mining activities with an open system trigger land degradation which results in a decrease in land quality. The decline in land quality is related to the level of fertility and soil chemical properties, so that in general ex-mining land contains low nutrients. These problems in several mining companies that implement environmental sustainability are resolved through reclamation activities. This reclamation activity needs to be assessed, to measure the success of the mine in overcoming land degradation problems. In this study we demonstrate an assessment of the success of mine reclamation in the largest nickel mining area in South Sulawesi, using remote sensing technology. Formulation of NIR and Red bands on Sentinel 2 imagery can produce Normalized Difference Vegetation Index index. From the vegetation index value, it is known that the observed reclamation area is close to the high vegetation index value (0.7 - 0.9). This value is actually close to the vegetation index value in the surrounding natural forest, but with a low percentage of area. The distribution of the results of the assessment of plant growth in the reclamation area was lowest vegetation by 3.14%; lower vegetation by 12.15%; low vegetation by 21.53%; moderate vegetation by 14.82%; high vegetation by 25.94% and higher vegetation by 22.42% of the total reclamation area.
References
Aldiansyah S, Nursalam LO. 2019. Dampak Pertambangan Nikel PT. Ifishdeco Terhadap Kondisi Lingkungan Hidup Di Desa Roraya Kecamatan Tinanggea Kabupaten Konawe Selatan. J Penelit Pendidik Geogr [Internet]. 4(1):105–122. http://ojs.uho.ac.id/index.php/ppg/article/view/5600
Cahyono BE, Febriawan EB, Nugroho AT. 2019. Analisis Tutupan Lahan Menggunakan Metode Klasifikasi Tidak Terbimbing Citra Landsat di Sawahlunto, Sumatera Barat. Teknotan. 13(1):8–14.
Fibriawati L. 2016. Koreksi Atmosfer Citra SPOT-6 Menggunakan Metode MODTRAN4. In: Semin Nas Penginderaan Jauh. [place unknown]; hal. 98–146.
Huete AR, Liu HQ, Batchily K, Leeuwen W van. 1997. A Comparison of Vegetation Indices over a Global Set of TM Images for EOS-MODIS. Remote Sens Environ. 59:440–451.
Husen SR& T. 2018. Penyalahgunaan Pengelolaan Pertambangan Terhadap Kerusakan Lingkungan Hidup Di Kecamatan Kluet Tengah. Legitimasi. VII(1):149–171.
Lillesand TM, Kiefer WR, Chipman JW. 2005. Remote Sensing and Image Interpretation. [place unknown].
Luca Congedo. 2016. Semi-Automatic Classification Plugin Documentation Release 4.8.0.1 [Internet]. https://media.readthedocs.org/pdf/semiautomaticclassificationmanual-v4/latest/semiautomaticclassificationmanual-v4.pdf
Misbakhul Munir RDNS. 2017. Kajian Reklamasi Lahan Pasca Tambang. Klorofil.
Nguyen HH, Nghia NH, Nguyen HTT, Le AT, Tran LTN, Duong LVK, Bohm S, Furniss MJ. 2020. Classification methods for mapping mangrove extents and drivers of change in Thanh Hoa province, Vietnam during 2005-2018. For Soc. 4(1):225–242.
Oktorina S. 2018. Kebijakan Reklamasi dan Revegetasi Lahan Bekas Tambang (Studi Kasus Tambang Batubara Indonesia). Al-Ard J Tek Lingkung.
Padró JC, Pons X, Aragonés D, Díaz-Delgado R, García D, Bustamante J, Pesquer L, Domingo-Marimon C, González-Guerrero Ò, Cristóbal J, dkk. 2017. Radiometric correction of simultaneously acquired Landsat-7/Landsat-8 and Sentinel-2A imagery using Pseudoinvariant Areas (PIA): Contributing to the Landsat time series legacy. Remote Sens. 9(12).
Setyowati RDN, Amala NA, Aini NNU. 2017. Studi Pemilihan Tanaman Revegetasi Untuk Keberhasilan Reklamasi Lahan Bekas Tambang. 87:14–20.
Shofiyanti R. 2011. Teknologi Pesawat Tanpa Awak Untuk Pemetaan Dan Pemantauan Tanaman Dan Lahan Pertanian. J Inform Pertan. 20(2):58–64.
Sinaga SH, Suprayogi A, Hinayah. 2018. Analisis Ketersediaan Ruang Terbuka Hijau Dengan Metode Normalized Difference Vegetation Index Dan Soil Adjusted Vegetation Index Menggunakan Citra Satelit Sentinel-2a (Studi Kasus : Kabupaten Demak). J Geod Undip. 7(1):202–211.
Sittadewi EH. 2019. Mitigasi Lahan Terdegradasi Akibat Penambangan Melalui Revegetasi. J Sains dan Teknol Mitigasi Bencana. 11(2):50–60.
Vision of Technology. 2009. Indicator : NDVI – Vegetation health & density [Internet]. [diakses 2020 Nov 28]. http://endeleo.vgt.vito.be/dataproducts.html#ndvi
Widiyatmoko R, Wasis B, Prasetyo LB. 2017. Analisis Pertumbuhan Tanaman Revegetasi Di Lahan Bekas Tambang Silika Holcim Educational Forest (Hef) Cibadak, Sukabumi. J Pengelolaan Sumberd Alam dan Lingkung (Journal Nat Resour Environ Manag. 7(1):79–88.
Yusmur A, Ardiansyah M, Mansur I. 2019. Mitigasi Dan Arahan Pengelolaan Air Asam Tambang Melalui Hutan Rawa Buatan Di Lahan Pasca Tambang. J Pengelolaan Sumberd Alam dan Lingkung (Journal Nat Resour Environ Manag. 9(3):566–576.
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