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<http://digilib.unila.ac.id/id/eprint/84319> <http://purl.org/dc/terms/title> "Analisis Peta Penggunaan Lahan Citra Satelit Sentinel-2 Berbasis Metode\r\nObject Based Image Analysis (OBIA) terhadap Orthophoto\r\n\r\nPesawat Udara Nir Awak (PUNA)\r\n\r\n(Studi Kasus : Desa Tulang Bawang, Kecamatan Bahuga, Kabupaten\r\n\r\nWay Kanan, Provinsi Lampung)"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/84319> <http://purl.org/ontology/bibo/abstract> "Pertumbuhan jumlah penduduk dan kegiatan masyarakat di Desa Tulang\r\nBawang Tahun 2024 mengalami perubahan dinamis, seiring dengan peningkatan\r\nkebutuhan lahan untuk berbagai tujuan. Peta penggunaan lahan yang akurat dan\r\nterbaru diperlukan untuk memahami cara pemanfaatan lahan tersebut. Salah satu\r\n\r\npendekatan dalam pembuatan peta ini adalah dengan memanfaatkan citra Sentinel-\r\n2. Penelitian ini bertujuan untuk mengevaluasi peta penggunaan lahan dengan\r\n\r\nmetode object based image analysis (OBIA), yang kemudian divalidasi\r\nmenggunakan orthophoto dari pesawat udara nir awak (PUNA) di Desa Tulang\r\nBawang.\r\nMetode pada penelitian ini berbasis dengan metode OBIA yaitu metode\r\nberbasis objek dalam proses segmentasi objek yang ada dengan parameter skala\r\nyang telah ditentukan. Evaluasi dilakukan dengan membandingkan hasil klasifikasi\r\ndari Sentinel-2 terhadap data orthophoto PUNA, termasuk perhitungan confusion\r\nmatrix untuk akurasi, ketepatan spasial, dan kemampuan dalam mengidentifikasi\r\npenggunaan lahan.\r\nHasil penelitian menunjukkan bahwa peta penggunaan lahan menggunakan\r\ncitra Sentinel-2B metode OBIA pada Desa Tulang Bawang didominasi oleh\r\nperkebunan seluas 339,6Ha. Pola distribusi lainnya mencakup lahan pertanian\r\nseluas 96,5Ha, lahan terbuka seluas 28,3Ha, permukiman seluas 22,8Ha, badan air\r\nseluas 3,6Ha, dan jalan seluas 1,2Ha. Validasi menunjukkan nilai akurasi\r\nkeseluruhan mencapai 90% serta koefisien kappa sebesar 0,875, yang menunjukkan\r\nkesepakatan yang hampir sempurna sesuai dengan ketentuan ambang batas nilai\r\nKappa. Secara keseluruhan, hasil klasifikasi penggunaan lahan dari Sentinel-2\r\nkonsisten pada citra resolusi tinggi orthophoto PUNA.\r\nKata kunci: Matriks Kesalahan, Metode OBIA, Orthophoto, Penggunaan Lahan,\r\nSentinel-2\r\n\r\nThe population density and community activity in Tulang Bawang Village in 2024\r\nhave changed dynamically, increasing the demand for land for various purposes. An\r\naccurate and up-to-date land use map is needed to continuously monitor land\r\ninformation. One of the techniques used for mapping land use is Sentinel-2 imagery.\r\nThe purpose of this study was to evaluate the land use map using the object-based\r\nimage analysis (OBIA) method, validated with orthophoto data from an unmanned\r\naerial vehicle (UAV) in Tulang Bawang Village. The method used in this study was\r\nOBIA, an object-based approach that segments objects using predefined scale\r\nparameters. The evaluation was carried out by comparing the classification results\r\nof the Sentinel-2 data with UAV orthophotos, including a confusion matrix for\r\naccuracy, spatial precision, and the ability to identify land use. The results of this\r\nstudy indicated that the classification of the Sentinel-2B land use map using the\r\nOBIA method in Tulang Bawang Village was dominated by plantations covering\r\n339.6 Ha. Other distribution patterns included 96.5 Ha of agriculture, 28.3 Ha of\r\nopen fields, 22.8 Ha of estate areas, 3.6 Ha of bodies of water, and 1.2 Ha of roads.\r\nThe validation showed an overall accuracy value of 90% and a kappa coefficient of\r\n0.875, indicating that the results had an almost perfect agreement according to the\r\nkappa value threshold. In general, the classification results of the Sentinel-2 land\r\nuse map were consistent with the high-resolution orthophoto imagery from UAV.\r\nKeywords: Confusion Matrix, OBIA Method, Orthophoto, Land Use, Sentinel-2\r\n"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://digilib.unila.ac.id/id/eprint/84319> <http://purl.org/dc/terms/date> "2024-10-11" .
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