METODE IDENTIFIKASI LAHAN PENAMBANGAN GALIAN C DI KABUPATEN TUBAN BERBASIS CITRA
STUDI KASUS DI KECAMATAN MERAKURAK DAN BANCAR
DOI:
https://doi.org/10.55719/curtina.v2i1.283Keywords:
Penginderaan Jauh, Sistem Informasi Geografis, OBIA, Galian C, Perubahan penutupan lahanAbstract
Area penambangan galian C di Kabupaten Tuban juga perlu dilakukan pemantauan secara berkelanjutan Adanya Perbedaan pada lahan bekas tambang yang secara visual dengan aktivitas lain seperti perkebunan, pembukaan lahan,jalan, dan pemukiman diperlukan metode yang tepat untuk mengidentifikasi perbedaan lahan tersebut. Oleh karena itu tujuan penelitian ini untuk melakukan identifikasi lahan penambangan dengan Metode Berbasis Citra. Langkah penelitian dengan melakukan pengolahan data citra dengan menggunakan metode Object Based Image Analysis (OBIA) dan metode digitasi berbasis Citra Multitemporal untuk mengetahui ketepatan luasan lokasi area penambangan di kabupaten Tuban dalan hal ini pada area penambangan di desa Pongpongan kecamatan Merakurak dan desa Latsari Kecamatan Bancar. Metode OBIA menggunakan Input Tipe Satu (yaitu menggunakan nilai rata – rata hamburan dan standard deviasi dan brightness dalam satu segmen), dan Input Tipe Dua ( adanya penambahan fitur GLCM) Metode Digitasi dengan menggunakan tiga citra multitemporal pada tiap lokasi penelitian. Hasil klasifikasi berdasarkan OBIA dengan algorithma klasifikasi nearest neighbor menunjukan bahwa data teksur GLCM (dapat meningkatkan akurasi sebanyak 0,3% dan nilai kappa 0,2 dibandingkan dengan hasil klasifikasi yang tidak menggunakan tekstur GLCM.. Berdasarkan hasil digitasi berbasis citra multitemporal dapat diketahui adanya penambahan area penambangan produktif, penambahan area bekas penambahan dan adanya penurunan penutupan lahan jenisa lainnya, seperti lokasi persawahan, lahan terbuka vegetasi atau lahan terbuka non vegetasi
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Asir, L. O. (2013) ‘LAHAN BEKAS GALIAN INDUSTRI ( Alternative Rehabilitation Technique on ex-Industrial Land ) plasma sistem tata air kontribusinya terhadap perbaikan lahan-lahan kritis di Indonesia . Ini penanggulangan lahan kritis , hal ini ditandai dengan telah berlangsun’, INFO BPK Menado, 3(2), pp. 113–130.
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BPS Tuban (2020) Kabupaten Tuban Dalam Angka.
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Charou, E. et al. (2010) ‘Using remote sensing to assess impact of mining activities on land and water resources’, Mine Water and the Environment. Springer, 29(1), pp. 45–52.
Cohen, Y. and Shoshany, M. (2005) ‘Analysis of convergent evidence in an evidential reasoning knowledge-based classification’, Remote Sensing of Environment. Elsevier, 96(3–4), pp. 518–528.
Favas, P. J. C., Martino, L. E. and Prasad, M. N. V (2018) ‘Chapter 1 - Abandoned Mine Land Reclamation—Challenges and Opportunities (Holistic Approach)’, in Prasad, M. N. V., Favas, P. J. de C., and Maiti, S. K. B. T.-B.-G. for M. S. R. (eds). Elsevier, pp. 3–31. doi: https://doi.org/10.1016/B978-0-12-812986-9.00001-4.
Fernández-Manso, A., Quintano, C. and Roberts, D. (2012) ‘Evaluation of potential of multiple endmember spectral mixture analysis (MESMA) for surface coal mining affected area mapping in different world forest ecosystems’, Remote sensing of environment. Elsevier, 127, pp. 181–193.
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Gunawan, A., Suratijaya, I. N. and Saleh, M. B. (2010) ‘Teknik cepat identifikasi lahan terbuka melalui citra multi temporal dan multi spasial’, J. Manajemen Hutan Tropika, 16, pp. 63–72.
Hirfan, H. (2018) ‘STRATEGI REKLAMASI LAHAN PASCA TAMBANG’, PENA TEKNIK: Jurnal Ilmiah Ilmu-Ilmu Teknik, 1(1), pp. 101–108.
Kariyawasam, N., Raval, S. and Shamsoddini, A. (2014) ‘Incorporating Remote Sensing as a Tool to Assist rehabilitation monitoring in a dolomite mining operation in South Australia’, in Proceedings of the XXV FIG INTERNATIONAL CONGRESS, Kuala Lumpur, Malaysia, pp. 16–21.
Kasim, A. A. and Harjoko, A. (2014) ‘Klasifikasi citra batik menggunakan jaringan syaraf tiruan berdasarkan gray level co-occurrence matrices (GLCM)’, in Seminar Nasional Aplikasi Teknologi Informasi (SNATI).
Kushardono, D. (2012) ‘Klasifikasi Spasial Penutup Lahan Dengan Data Sar Dual-Polarisasi Menggunakan Normalized Difference Polarization Index Dan Fitur Keruangan Dari Matrik Kookurensi (Spatial Land Cover Classification Using Dual-Polarization Sar Data Based On Normalized Diffe’, Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital, 9(1).
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Navulur, K. (2006) Multispectral image analysis using the object-oriented paradigm. CRC press.
Nurtjahya, E. (2008) ‘Revegetasi lahan pasca tambang timah dengan beragam jenis pohon lokal di Pulau Bangka’, Disertasi. Bogor: Sekolah Pasca Sarjana Institut Pertanian Bogor. Tidak Diterbitkan.
Petropoulos, G. P., Partsinevelos, P. and Mitraka, Z. (2013) ‘Change detection of surface mining activity and reclamation based on a machine learning approach of multi-temporal Landsat TM imagery’, Geocarto International. Taylor & Francis, 28(4), pp. 323–342.
Pirwanda, F. and Pirngadie, B. H. (2015) ‘Dampak kegiatan tambang timah inkonvensional terhadap perubahan guna lahan di Kabupaten Belitung’, Jurnal Planologi Unpas. Program studi Perencanaan Wilayah & Kota FT Unpas, 2(3), pp. 177–194.
Rudorff, B. F. T. et al. (2010) ‘Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using Landsat data’, Remote sensing. Molecular Diversity Preservation International, 2(4), pp. 1057–1076.
dos Santos Silva, M. P. et al. (2008) ‘Remote‐sensing image mining: detecting agents of land‐use change in tropical forest areas’, International Journal of Remote Sensing. Taylor & Francis, 29(16), pp. 4803–4822.
Sari, C. F. K. (2019) ‘KAJIAN KETERKAITAN KEBERADAAN INDUSTRI SEMEN TERHADAP SOSIAL EKONOMI MASYARAKAT’, SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi, 5(2), pp. 57–65.
Schroeter, L. and Gläβer, C. (2011) ‘Analyses and monitoring of lignite mining lakes in Eastern Germany with spectral signatures of Landsat TM satellite data’, International Journal of Coal Geology. Elsevier, 86(1), pp. 27–39.
Suresh, M. and Jain, K. (2013) ‘Change detection and estimation of illegal mining using satellite images’, in Proceedings of 2nd International conference of Innovation in Electronics and communication Engineering (ICIECE-2013).
Vieira, M. A. et al. (2012) ‘Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas’, Remote Sensing of Environment, 123, pp. 553–562. doi: https://doi.org/10.1016/j.rse.2012.04.011.
Yudhistira, Y., Hidayat, W. K. and Hadiyarto, A. (2011) ‘Kajian dampak kerusakan lingkungan akibat kegiatan penambangan pasir di Desa Keningar daerah kawasan Gunung Merapi’, Jurnal Ilmu Lingkungan, 9(2), pp. 76–84.
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Published
2021-07-31
How to Cite
Joesidawati, M. I., Suwarsih, S., & Suryanto, A. A. (2021). METODE IDENTIFIKASI LAHAN PENAMBANGAN GALIAN C DI KABUPATEN TUBAN BERBASIS CITRA: STUDI KASUS DI KECAMATAN MERAKURAK DAN BANCAR. Curtina , 2(1), 67–77. https://doi.org/10.55719/curtina.v2i1.283
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