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<CreaDate>20260102</CreaDate>
<CreaTime>13145300</CreaTime>
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<idAbs>Garis Kontur Kedalaman dibuat pada tahun 2025 dengan metode generalisasi data yang bersumber dari Data Batimetri skala besar Kegiatan Swakelola Survei Batimetri TN Kepulauan Togean Tahun 2024.Tujuan pekerjaan adalah untuk menyediakan peta dasar tergeneralisasi Skala 1:25.000, 1:50.000, 1:250.000, 1:500.000, 1:1.000.000 sebagai bagian dari penyelenggaraan Informasi Geospasial Dasar secara sistematis di seluruh wilayah Indonesia, sesuai amanat peraturan perundang-undangan.Metode generalisasi menggunakan prinsip seleksi dan eliminasi, penghalusan, simplifikasi dan klasifikasi.</idAbs>
<idPurp>Hipsografi Togean 250K</idPurp>
<idCredit>Badan Informasi Geospasial</idCredit>
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<resTitle>HIPSOGRAFI_TOGEAN_250K</resTitle>
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</Data>
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