- Suwarsono, -
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PENGEMBANGAN METODE ZONASI DAERAH BAHAYA LETUSAN GUNUNG API STUDI KASUS GUNUNG MERAPI Asriningrum, Wikanti; Noviar, Heru; suwarsono, -
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 1, No.1 Juni (2004)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Merapi volcano which has height 2.986 m is located at central of Java Island. This volcano is one of 129 active volcano in Indonesia. Considering the amount of volcano, we need a method as a mitigation system of eruption hazard. MOS-MESSR (1991) dan Landsat-ETM (2002) sata and supported by secondary data are used to identify and classify landform, drainage pattern, and land cover. The result are 10 classes of landform, 3 leruption hazard level of drainage pattern, and 9 classes of landform. Based on gemorphogical analysis during 11 years show that forest area decrease 13.062 Ha and hazard risk pattern increasa.
PEMANFAATAN CITRA Pi-SAR2 UNTUK IDENTIFIKASI SEBARAN ENDAPAN PIROKLASTIK HASIL ERUPSI GUNUNGAPI GAMALAMA KOTA TERNATE (UTILIZATION OF Pi-SAR2 IMAGES FOR IDENTIFICATION THE PYROCLASTIC DEPOSITS FROM GAMALAMA VOLCANO ERUPTION TERNATE CITY) Suwarsono, -; Yudhatama, Dipo; Trisakti, Bambang; Sambodo, Katmoko Ari
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 1 Juni 2013
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Penelitian ini bertujuan untuk mengidentifikasi sebaran material endapan piroklastik hasil erupsi gunungapi dengan memanfaatkan citra radar Pi-SAR2. Obyek gunungapi yang dijadikan lokasi penelitian adalah Gunungapi Gamalama yang berada di wilayah Kota Ternate Provinsi Maluku Utara. Metode penelitian mencakup kalibrasi radiometrik data Pi-SAR2 untuk mendapatkan nilai intensitas hamburan balik (backscatter) sigma naught, perhitungan nilai-nilai statistik (rerata, standar deviasi dan koefisien korelasi antar band) sigma naught endapan piroklastik dan obyek-obyek permukaan lainnya, serta pemisahan sebaran endapan piroklastik menggunakan metode pengambangan (thresholding). Penelitian ini menyimpulkan bahwa citra Pi-SAR2 dapat dipergunakan untuk mengidentifikasi sebaran endapan piroklastik hasil erupsi gunungapi. Penggunaan secara bersamaan polarisasi HH, VV dan HV akan memberikan hasil lebih baik dibandingkan dengan menggunakan single polarisasi HH maupun VV. Penelitian ini menyarankan untuk dilakukan penelitian lebih lanjut dengan menerapkan metode verifikasi yang didukung dengan penggunaan data-data lapangan (ground check). Kata kunci: Pi-SAR2, Identifikasi, Endapan piroklastik, Gunungapi Gamalama
ANALISIS PEMANFAATAN DAN VALIDASI HOTSPOT VIIRS NIGHTFIRE UNTUK IDENTIFIKASI KEBAKARAN HUTAN DAN LAHAN DI INDONESIA (ANALYSIS OF USE AND VALIDATION VIIRS NIGHTFIRE HOTSPOT FOR IDENTIFICATION OF FOREST AND LAND FIRE IN INDONESIA) Zubaidah, Any; Vetrita, Yenni; M. Priyatna, -; Ayu D, Kusumaning; Suwarsono, -
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 Juni 2015
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Suomi National Polar-orbiting Partnership (Suomi NPP) yang diluncurkan pada 28 Oktober 2011 merupakan satelit cuaca generasi baru dari NASA yang saat ini masih terus mengembangkan algoritma aplikasi untuk pemantauan lingkungan. Salah satu produk yang dihasilkan adalah pendeteksian titik panas (hotspot) yang telah menghasilkan informasi bersifat global. Oleh karena itu, evaluasi untuk wilayah spesifik perlu dilakukan. Makalah ini bertujuan untuk melakukan validasi produk hotspot akusisi malam hari disebut VIIRS Nightfire (VNF) di Indonesia, khususnya Riau. Produk Hotspot MODIS (MOD 14) malam hari juga digunakan sebagai pembanding. Analisis statistik dilakukan untuk menghitung ketepatan lokasi hotspot pada radius 1 dan 2 km dari data referensi yang digunakan. Data meliputi survei lapangan serta citra SPOT 5 yang memiliki resolusi spasial lebih tinggi. Akurasi dihitung pada semua hotspot yang terdeteksi dalam periode 3 minggu yang disesuaikan dengan ketersediaan citra SPOT 5, dengan mempertimbangkan analisis buffer tunggal dan dissolve. Hasilnya menunjukkan bahwa VNF memiliki nilai akurasi rata-rata yang tinggi sebesar 84.31%. Hasil ini sebanding dengan analisis yang dilakukan terhadap produk hotspot MODIS. Dengan demikian, VNF sangat signifikan digunakan bersama dengan produk hotspot MODIS khususnya untuk pemantauan kebakaran pada malam hari.Kata Kunci: Hotspot,VNF, Soumi-NPP, Satelit, Penginderaan Jauh
MODEL SIMULASI LUAPAN BANJIR SUNGAI CILIWUNG DI WILAYAH KAMPUNG MELAYU–BUKIT DURI JAKARTA, INDONESIA Yulianto, Fajar; Marfai, Muh Aris; Parwati, -; Suwarsono, -
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Jakarta is the biggest city in Indonesia located in the north-western of Java Island and between 5º59’–6º00’S and 106º30’–107º00’E. The total area is approximately 661,52 km2, and the population is more than 9 million in 2008. The occurrence of many flood in Jakarta had caused loss in properties, environmental degradations, and warsen communities health. A spatial approach model is applied to understand the effects of flood to land use in the research area. Objectives of the research are : 1) to create the hazard assessment model and 2) to calculate the impact of flood to the land use area. The methods consist of neighbourhood operation application development in the form of raster pixel calculation, in this case are the Digital Elevation Model values, by using mathematic calculation formula to assign the inundated area. Land uses, either the inundated or others, are the result of imagery data interpretations. Results of the research show that the simulation model represent the condition in the field when flood happened maximum scenario for inundation area of 2,00 m will affect to about 5,10 Ha (regular settlements); 80,82 Ha (irregular settlements); 2,22 Ha (open areas); 5,09 Ha (business areas); 40,39 Ha (office areas) and 18,83 (roads). Key words: Ciliwung flood, DEM, Iteration spatial model, GIS, Remote sensing
PEMANFAATAN DATA MODIS UNTUK IDENTIFIKASI DAERAH BEKAS TERBAKAR (BURNED AREA) BERDASARKAN PERUBAHAN NILAI NDVI DI PROVINSI KALIMANTAN TENGAH TAHUN 2009 Suwarsono, -; Yulianto, Fajar; Parwati, -; Suprapto, Totok
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Land and forest fire are the natural disasters that often occur in Indonesian regions, especially Sumatera and Kalimantan. The disasters cause deep impacts to environments and human beings, so it is necessary to conduct mitigation. The research area took place in Central Kalimantan Province. The objective of the research is to applicate the MODIS remote sensing imagery for supporting the land and forest fire mitigation efforts, that is identifying the burned area. The analyzing is done by using methods of NDVI changes before and after land and forest burned periods in 2009 . The stages of the research consist of; fire hotspot frequency analyzing, NDVI changes calculation, threshold of NDVI changes establishing, and burned area estimation based on the threshold result. The results of the research show that the burned area in Central Kalimantan can be identified by using MODIS based on NDVI changes. The total numbers of burned area in 2009 are 122.900 hectares, most of them occured in Pulangpisau, Kapuas, Katingan and Kotawaringin District. The results are needed to be verified in the next further research based on the field survey and or by using the high resolution imageries such as Landsat, SPOT-2 or 4, ALOS, Ikonos or Quickbird. Key Words: MODIS, Burned Area, NDVI, Central Kalimantan
IDENTIFICATION OF INUNDATED AREA USING NORMALIZED DIFFERENCE WATER INDEX (NDWI) ON LOWLAND REGION OF JAVA ISLAND Suwarsono, -; Nugroho, Jalu Tejo; Wiweka, -
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 10, No 2 (2013)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2013.v10.a1850

Abstract

Flood disaster is a major issues due to its frequently events on several areas in Indonesia. Delineation of inundated area caused by flood is needed to support disaster emergency response. The objective of this research was to identify inundated areas using NDWI methos from Landsat TM/ETM+ data on lowland regions of Java island. A pair of the data (before and during the flood) were in each observation areas. Observation areas were selected in several location of lowland regions of Java island where great event of flood occurred during the last decades. The thresholds values of NDWI change were used to separate the flood and non flood areas. The results showed that the extent of inundated area caused by flood on lowland regions can be identifyed and separated based on NDWI variables extracted from Landsat TM/ETM+.
PENENTUAN HUBUNGAN ANTARA SUHU KECERAHAN DATA MTSAT DENGAN CURAH HUJAN DATA QMORPH Parwati, -; Suwarsono, -; Ayu DS, Kusumaning; Kartasamita, Mahdi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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The relationship analysis between the brightness temperature from MTSAT-1R and the rainfall from Qmorph have been conducted in this research. The data used in this research are 240 data sets of MTSAT-1R and QMorph for ten days (1-10 February 2009, 00 – 23 UTC). The analysis is based on the MTSAT-1R spatial resolution (5 x 5 km) which covered 621 pixels for Bengawan Solo Water Catchment Area. The statistical analysis used are timeseries, regression-correlation analysis, and marginal analysis. The result showed that there is a significant correlation between the brightness temperature of MTSAT-1R data with the rainfall from QMorph data (r ≥ 0.80 or equal to R2 ≥ 0.65) for 66 % data or around 410 pixels. The brightness temperature tends to decrease with the higher rainfall, except for the Cirrus cloud which has a cooler temperature but not potential to become rain. Based on the marginal analysis of 410 pixels, we have found a power line regression between the QMorph rainfall (mm/hour) and the MTSAT cloud temperature (°K) with R2 = 0.9837. The equation is: Qmorph rainfall = 2. 1025 (MTSAT cloud temperature)-10.256. In order to increase the accuracy, the validation of QMorph data needs to be done by comparing the QMorph with other rainfall data sources and also taking the topography of area into consideration. Key word: Brigthness temperature, Rainfall, MTSAT, QMorph, Coefficient correlation, Marjinal Analysis
DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS (DETECTING THE PRECURSOR OF RAUNG VOLCANO STROMBOLIAN ERUPTION USING NORMALIZED THERMAL INDEX FROM MODIS) Suwarsono, -; Hidayat, -; Suprapto, Totok; Yulianto, Fajar; Sari, Nurwita Mustika; Parwati, -; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 Desember 2015
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Secara geologi, sebagian besar wilayah Indonesia berada pada jalur subduksi cincin api pasifik (pacific ring of fires) yang menyebabkan banyak bermunculan gunungapi aktif. Keberadaan gunungapi aktif tersebut membawa implikasi tersendiri akan munculnya ancaman erupsi vulkanik yang sewaktu-waktu dapat terjadi. Penelitian ini bertujuan untuk mendeteksi gejala erupsi gunungapi dengan menggunakan parameter Normalized Thermal Index (NTI) yang diturunkan dari data MODIS. Obyek gunungapi yang dipilih adalah Gunungapi Raung di Jawa Timur dimana sekitar Juni hingga Juli 2015 menunjukkan peningkatan aktivitas vulkanisme serta mengalami erupsi. Metode pengolahan data meliputi pengolahan citra Landsat-8 untuk penentuan area of interest (kaldera), pengolahan citra MODIS untuk pengukuran NTI, serta analisis pola spasial dan temporal NTI. Hasil penelitian menunjukkan bahwa gejala suatu gunungapi akan mengalami erupsi dapat diketahui dari adanya nilai NTI pada daerah kaldera yang meningkat dan relatif lebih tinggi dari daerah di sekitarnya. Parameter NTI telah teruji memiliki kemampuan yang baik dalam membedakan antara kaldera yang sedang meningkat aktivitas vulkaniknya dan obyek-obyek lainnya. Nilai NTI = 0,06 dapat diterapkan sebagai nilai ambang batas (threshold) suatu gunungapi menunjukkan gejala akan erupsi.Kata kunci: Gejala erupsi, Gunungapi Raung, Strombolian,MODIS, NTI
MODEL INDEKS TVDI (TEMPERATURE VEGETATION DRYNESS INDEX) UNTUK MENDETEKSI KEKERINGAN LAHAN BERDASARKAN DATA MODIS-TERRA Parwati, -; Suwarsono, -
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 5, (2008)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Drought occurs when there is a lack of water in particular area and is usually caused by less amount of rainfall over that particular area. The impact of drought in Indonesia is usually noticed in the agricultural land. For that reason, agricultural drought monitoring in near-real time is very important. The TVDI (Temperature Vegetation Dryness Index) method is used in this research for agricultural drought monitoring. The TVDI is holding the information on the amount of soil moisture at the earth’s surface. The index is calculated from the surface temperature and the vegetation index. In this research, the TVDI model was developed from the enhanced vegetation index (EVI) and the land surface temperature (Ts) in Riau and Central Kalimantan Province using the Terra-MODIS in the period of June – August from 2003 to 2006. The formula are : Riau TVDI = (LST – (5.1912 * EVI + 294.72))/(-15.701 * EVI + 13.98), and Central Kalimantan TVDI = (LST – (0.498 * EVI + 296.97))/(-12.272 * EVI + 10.87). The model was then applied for detecting agricultural drought in Jambi Province and overlayed with landuse from LANDSAT ETM+ 2002/2003. The result showed that the paddy, dryland agriculture and plantation area are more sensitive to drought than shrub/bush. The mean values of TDVI are 0.40 and 0.34 for dryland agriculture/ plantation and paddy area respectively, while the shrub/bush is only 0.18. Based on the TDVI class for high drought (0.6  TVDI ≤ 1), it can be shown that from the periode of June-August 2003-2006, the large area of drought occurred in paddy area, plantation, and dryland agriculture was around 8 % in August, while the drought in the forest and shrub/bush area was narrow around 3 % in August. Further research can be done in order to know the accuracy, the verification, and the validation. Key words: MODIS, TVDI, EVI, LST (Land Surface Temperature)
PENGEMBANGAN MODEL IDENTIFIKASI DAERAH BEKAS KEBAKARAN HUTAN DAN LAHAN (BURNED AREA) MENGGUNAKAN CITRA MODIS DI KALIMANTAN (MODEL DEVELOPMENT OF BURNED AREA IDENTIFICATION USING MODIS IMAGERY IN KALIMANTAN) Suwarsono, -; Rokhmatuloh, -; Waryono, Tarsoen
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No.2 Desember 2013
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Kebakaran hutan dan lahan telah menjadi ancaman cukup serius bagi masyarakat secara global pada dua dekade terakhir, terutama terkait dengan degradasi aspek-aspek lingkungan dan sumberdaya alam. Kalimantan merupakan daerah di Indonesia yang paling rawan terhadap bencana kebakaran hutan dan lahan. Penelitian ini bertujuan untuk mengembangkan model-model algoritma untuk mengidentifikasi area terbakar yang paling sesuai diaplikasikan di Kalimantan menggunakan citra MODIS. Metode penelitian dilakukan dengan menggunakan variabel indeks vegetasi (NDVI), indeks kebakaran (NBR), dan reflektansi dari citra MODIS untuk mengidentifikasi area terbakar. Identifikasi area terbakar dilakukan dengan metode pengambangan (thresholding), yaitu perhitungan nilai ambang batas dari perubahan nilai-nilai variabel NDVI, NBR, dan reflektansi untuk piksel-piksel yang dinyatakan sebagai area terbakar. Kemudian dilakukan perhitungan tingkat separabilitas dan akurasi untuk menguji validitas tiap-tiap model. Hasil penelitian ini menunjukkan bahwa pada dasarnya semua model algoritma baik perubahan NDVI, NBR dan reflektansi memiliki kemampuan yang baik dalam mendeteksi area terbakar di Kalimantan. Namun demikian, dari semua model algoritma tersebut, hanya model algoritma perubahan NBR yang memberikan tingkat akurasi paling tinggi, yaitu sebesar 0,635 atau 63,5%. Dengan demikian, model algoritma identifikasi area terbakar yang paling sesuai diaplikasikan untuk daerah Kalimantan dengan menggunakan citra MODIS adalah model algoritma perubahan NBR.Kata kunci: Identifikasi, Area terbakar, NBR, MODIS, Kalimantan