20220110 18551000 1.0 ISO 19139 Metadata Implementation Specification GML3.2 TRUE Data ini adalah mosaik citra tegak satelit penginderaan jauh resolusi tinggi Tahun 2020 sebagian Wilayah Provinsi Kalimantan Timur citrasatelit Data ini adalah mosaik citra tegak satelit penginderaan jauh resolusi tinggi Tahun 2020 sebagian Wilayah Provinsi Kalimantan Timur Badan Informasi Geospasial CTSRT_2020_KALIMANTAN_TIMUR1 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