20250602 14053100 1.0 ISO 19139 Metadata Implementation Specification GML3.2 TRUE Garis Pantai yang dipakai adalah bersumber dari orthophoto/imagery dari tahun 2024 yang didapat dari Pengadaan Data Geospasial Dasar dan Peta Rupabumi Indonesia (RBI) Wilayah Darat Skala 1:5.000 Kelas 1 dari Kamera Udara Metrik dan Lidar oleh PT. Karvak Nusa Geomatika dengan akurasi horizontal sebesar 0.012 meter, akurasi vertikal sebesar 0.066 meter. Model datum pasang surut yang dipakai MHWS Garis Pantai Data bersumber dari hasil ekstraksi DSM yang diperoleh dari data LiDAR dan Fotoudara. Data ini merupakan garis pantai Mean High Water Springs. Badan Informasi Geospasial GARISPANTAI_KENDARI 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