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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Andy Indradjad
Pusat Teknologi dan Data Penginderaan Jauh
Computer Science & IT

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ANALISIS METODE KOMPRESI BERDOMAIN WAVELET PADA CITRA SATELIT RESOLUSI SANGAT TINGGI Ayom Widipaminto; Andy Indradjad; Donna Monica; Rokhmatuloh Rokhmatuloh
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 1 Juni 2019
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1188.623 KB) | DOI: 10.30536/j.pjpdcd.2019.v16.a3058

Abstract

Masalah yang kerap terjadi pada citra satelit penginderaan jauh, terutama citra resolusi sangat tinggi, salah satunya adalah besarnya media penyimpanan dan bandwidth yang dibutuhkan saat data ditransmisi ke tempat lain. Pada pengolahan citra satelit, kompresi data perlu dilakukan pada data citra satelit yang ada demi memudahkan transmisi dan penyimpanan citra. Makalah ini melakukan komparasi pada metode-metode kompresi domain wavelet yaitu metode wavelet, bandelet, dan CCSDS agar ditemukan metode terbaik untuk mengompresi data citra satelit resolusi sangat tinggi Pleiades. Hasil percobaan menunjukkan bahwa metode wavelet dan bandelet lebih baik dalam hal mempertahankan kualitas citra dengan PSNR di kisaran 50 dB, sementara metode CCSDS lebih baik dalam hal mereduksi ukuran citra menjadi seperdelapan citra asli.
SISTEM PENGOLAHAN DATA SATELIT SERI NOAA JPSS UNTUK PRODUKSI INFORMASI TITIK PANAS SECARA OTOMATIS Budhi Gustiandi; Donna Monica; Andy Indradjad
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 17 No. 1 Juni 2020
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2020.v17.a3290

Abstract

The number of forest and land fires that were happened worldwide had been estimated to increase in the last years. Forest and land fires play a significant role in climate change because they are one of primary sources of carbondioxide and particulate matter that can affect chemical composition in the troposphere. To understand dynamics of forest and land fires in a wide scale, remote sensing satellite technology is considered as the most effective technique. Forest and land fires indicator products that are produced from remote sensing data processing are known widely as active fires or hot spots. A Joint Polar Satellite System generation 1 (JPSS-1) – also known as National Oceanic and Atmospheric Administration generation 20 (NOAA-20) – remote sensing satellite data processing system has been built to produce active fires or hotspots information automatically. The system is a development of existing Suomi National Polar-orbiting Partnership (Suomi-NPP) remote sensing satellite data processing system which is the predecessor of JPSS-1 / NOAA-20 satellite. System design, processing flow, and software used as parts of the system are elaborated in detail in this paper. Analysis of output products that are produced by the system are also described in detain in this paper. It is hoped that active fires or hotspots information products that are produced by the developed system can be utilized in national scale similar to their predecessor products that are produced by previous system, even they can be utilized in regional scale.
Co-Authors Ayom Widipaminto Budhi Gustiandi Donna Monica Rokhmatuloh Rokhmatuloh