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Berbicara spektral dalam dunia penginderaan jauh memang tidak ada habis-habisnya. Bermula dari pankromatik, menuju multispektral dengan 4 kanal, 8 kanal, 11 kanal, hingga 20 kanal sampai hiperspektral yang memiliki lebih dari 200 kanal! Untuk resolusi spasial, citra Hyperion ini masih sama seperti Landsat yaitu 30 meter. Kebetulan iseng menjelajah ke situsnya earthexplorer mencari sampel Hyperion untuk area Medan dan hasilnya ada walaupun tanggalnya sudah out of date, yakni tahun 2003. Berhubung saya belum pernah mencicipi dan mengeksplorasi tipe data hiperspektral, tanpa tunggu lama langsung saya unduh. Kadang saya berpikir, teknologi ini adalah hasil dari para manusia berpengetahuan yang curiousitynya sangat tinggi. Sebegitu inginnya mereka ingin mengetahui karakteristik objek di permukaan bumi melalui identifikasi sebegitu banyaknya spektral-spektral yang ada. Namun begitu tujuannya ya mengerucut ke satu hal, natural resources. Hasil eksplorasi Hyperion ini nantinya akan saya masukkan ke tulisan berseri mengenai “Melihat Dunia Lewat Piksel”. Supaya ngga penasaran, sebelum saya tampilkan contoh citranya, sebaiknya saya lampirkan saja contoh metadatanya.😀


GROUP = L1_METADATA_FILE GROUP = METADATA_FILE_INFO REQUEST_ID = “1290572003187_20001” PRODUCT_CREATION_TIME = 2014-03-03T11:24:31Z EO1_XBAND = “1” GROUND_STATION = “PF1” DPS_VERSION_NUMBER = “3.00” DATEHOUR_CONTACT_PERIOD = 0318706 END_GROUP = METADATA_FILE_INFO GROUP = PRODUCT_METADATA PRODUCT_TYPE = “L1GST” PROCESSING_SOFTWARE = “EPG_3.1.2” EPHEMERIS_TYPE = “DEFINITIVE” SPACECRAFT_ID = “EO1” SENSOR_ID = “HYPERION” ACQUISITION_DATE = 2003-07-06 START_TIME = 2003 187 03:29:46 END_TIME = 2003 187 03:30:55 IMAGE_CORNER_UPDATE = “YES” IMAGE_UL_CORNER_LAT = 3.994220 IMAGE_UL_CORNER_LON = 98.687618 IMAGE_UR_CORNER_LAT = 3.981220 IMAGE_UR_CORNER_LON = 98.754302 IMAGE_LL_CORNER_LAT = 3.150347 IMAGE_LL_CORNER_LON = 98.507736 IMAGE_LR_CORNER_LAT = 3.137353 IMAGE_LR_CORNER_LON = 98.574359 PRODUCT_UL_CORNER_LAT = 3.997794 PRODUCT_UL_CORNER_LON = 98.506339 PRODUCT_UR_CORNER_LAT = 3.997907 PRODUCT_UR_CORNER_LON = 98.757671 PRODUCT_LL_CORNER_LAT = 3.134746 PRODUCT_LL_CORNER_LON = 98.506799 PRODUCT_LR_CORNER_LAT = 3.134835 PRODUCT_LR_CORNER_LON = 98.757897 PRODUCT_UL_CORNER_MAPX = 445200.000000 PRODUCT_UL_CORNER_MAPY = 441900.000000 PRODUCT_UR_CORNER_MAPX = 473100.000000 PRODUCT_UR_CORNER_MAPY = 441900.000000 PRODUCT_LL_CORNER_MAPX = 445200.000000 PRODUCT_LL_CORNER_MAPY = 346500.000000 PRODUCT_LR_CORNER_MAPX = 473100.000000 PRODUCT_LR_CORNER_MAPY = 346500.000000 PRODUCT_SAMPLES = 931 PRODUCT_LINES = 3181 BAND1_FILE_NAME = “EO1H1290572003187110PZ_B001_L1GST.TIF” BAND2_FILE_NAME = “EO1H1290572003187110PZ_B002_L1GST.TIF” BAND3_FILE_NAME = “EO1H1290572003187110PZ_B003_L1GST.TIF” BAND4_FILE_NAME = “EO1H1290572003187110PZ_B004_L1GST.TIF” BAND5_FILE_NAME = “EO1H1290572003187110PZ_B005_L1GST.TIF” BAND6_FILE_NAME = “EO1H1290572003187110PZ_B006_L1GST.TIF” BAND7_FILE_NAME = “EO1H1290572003187110PZ_B007_L1GST.TIF” BAND8_FILE_NAME = “EO1H1290572003187110PZ_B008_L1GST.TIF” BAND9_FILE_NAME = “EO1H1290572003187110PZ_B009_L1GST.TIF” BAND10_FILE_NAME = 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