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INDONESIA
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Published by Lembaga Penerbangan dan Antariksa Nasional
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 179 Documents
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MODEL BAHAYA BANJIR MENGGUNAKAN DATA PENGINDERAAN JAUH DI KABUPATEN SAMPANG (FLOOD HAZARD MODEL USING REMOTE SENSING DATA IN SAMPANG DISTRICT) Nanik Suryo Haryani; Any Zubaidah; Dede Dirgahayu; Hidayat Fajar Yulianto; Junita Pasaribu
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Flood is the first biggest disaster in Indonesia, as stated by the National Disaster Management Agency (BNPB) in the BNPB’s natural disaster data of year 2000 to 2009. Considering the flood has the significant impact of causing the casualties and material losses, it is necessary to study on it. One of useful data for studying the flood is remote sensing data. The advantage of good historical data makes it possible to see the changes of cover/land use from year to year in a region. The extensive area coverage of remote sensing data allows it to view and analyze in a comprehensive manner. The method of the study of flood hazard models is using multiple variables, where each variable has a class of criteria. Determination of the weight of each flood variable by using the Composite Mapping Analysis. The results of this study shows the main cause of flooding in the District of Sampang is that most of the land system in the cities are the combined estuary and swamp plain, forming a low land and is triggered by the torrential rain. The model of flood hazard maps produced by variable weighting floods with a multi criteria analysis method which is function of rainfall, landuse, slope, land system and elevation. Key words: Flood hazard, Composite Mapping Analysis, Remote sensing
Cover Jurnal Vol. 15 No. 1 Juni2018 Editorial Jurnal
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 1 Juni 2018
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (571.365 KB) | DOI: 10.30536/j.pjpdcd.2018.v15.a3105

Abstract

PEMBUATAN SISTEM INFORMASI GEOGRAFIS KESESUAIAN LAHAN TANAMAN TEBU BERBASIS WEB DI KABUPATEN MERAUKE - Marwato; Danang Surya Candra
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 4, No.1 Juni (2007)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

This research is aims to have develop land resource information system for a spatial management and land use allocation by commudity development based on web and land suitable evaluation for sugar cane in Merauke Regency, Papua Province. The method which is used to organized land resource information system in development of area commudity (sugar cane) is automatization evaluation land suitability is to detect potency area of sugar cane with combined remote sensing technology and information technology based on web. The result of the evaluation land suitability for sugar cane in Merauke Regency, for the most extremely suitable land (S1) are Kl9maam Island (19,3291 hectare), Merauke (11,550 hectare), Kurik (7,746 hectare) and Semangga (524 hectare).
Front Pages Inderaja Vol 13 No 1 Juni 2016 Redaksi Jurnal Inderaja
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 1 Juni 2016
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Front Pages Inderaja Vol 13 No 1 Juni 2016
MONITORING OF DROUGHT-VULNERABLE AREA IN JAVA ISLAND, INDONESIA USING SATELLITE REMOTE-SENSING DATA Orbita Roswintiarti; Parwati Sofan; Nanin Anggraini
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 8 (2011)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

The impact of climatic variability and climate change is of great importance in Indonesia. Monitoring this impact, furthermore, is essential to the preparedness of the regions in dealing with drought-vulnerable conditions. In this study, satellite remote sensing data were used for monitoring drought in Java island, Indonesia. Monthly rainfall data from Tropical Rainfall Measuring Mission (TRMM) data were used to derive the Standardized Precipitation Index (SPI). The Moderate Resolution Imaging  Spectroradiometer (MODIS) onboard the Terra and Aqua satellites was used for calculating the Enhanced Vegetative Index (EVI) and Land Surface Temperature (LST). EVI and LST were then converted to the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI), which are useful indices for the estimation of vegetation moisture and thermal conditions, respectively. Vegetation Health Index (VHI) was calculated using the VCI and TCI to represent the overall vegetation health. The analysis was carried out during the El Niño/Southern Oscillation (ENSO) of June to August 2009. From the SPI analysis, of the vegetation moisture condition has gradually developed in the East Java province in June 2009. Meanwhile, from the TCI maps it is found that the vegetative stress (TCI < 36) due to the thermal condition of vegetation was built up in the West Java province in June 2009. Meanwhile, frm the TCI maps it is found that the vegetative stress (TCI < 36) due to the thermal condition of vegetation was built up in the West Java province in June 2009. Hence, the overall vegetative health in Java island obtained from the VHI maps shows that the moderate vegetative drought (VHI < 36) started to develop in July 2009.Keywords: Java island, TRMM, EVI, SPI, VCI, TCI, VHI   
ANALISIS KARAKTERISTIK TEMPERATUR AREA TERBAKAR (BURNED AREA) MENGGUNAKAN DATA LANDSAT-8 TIRS DI KALIMANTAN (ANALYZING THE TEMPERATURE CHARACTERISTICS OF BURNED AREA USING LANDSAT-8 TIRS IN KALIMANTAN) suwarsono suwarsono; Any Zubaidah; Parwati Parwati; M. Rokhis Khomarudin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 1 Juni 2016
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (173.217 KB) | DOI: 10.30536/j.pjpdcd.2016.v13.a2933

Abstract

Biomass burning in an area will leave traces of fire such as charcoal, ash, and outcrop of land in the area known as the burned area. The burnt area is thought to have a relatively higher temperature than the surrounding area were not burned. This study aims to determine the characteristics of the temperature of the burned area using remote sensing data of Landsat-8 TIRS (Thermal Infra Red Sensor). The selected research locations are parts of Central Kalimantan and South Kalimantan incoming Landsat scene-8 path / row 118/062. The research method is a data processing Landsat-8 TIRS (channels 10 and 11) to produce an image of the brightness temperature as well as data analysis includes a statistical analysis of central tendency of the values of the brightness temperature of the sample (calculation of mean and standard deviation) as well as distance calculation (D-value). The results showed that the brightness temperature data either channel 10 or channel 11 Landsat-8 TIRS has good ability in separating the burned area and bare soil, but has a low ability to separate the burned areas and settlements. Thus, the brightness temperature parameter cannot be used as a single variable for the extraction of burned areas in a scene image of a single acquisition. ABSTRAKPeristiwa kebakaran biomassa pada suatu daerah akan menyisakan bekas-bekas kebakaran seperti arang, abu, serta singkapan tanah pada daerah tersebut yang dikenal dengan burned area. Daerah bekas kebakaran tersebut diduga memiliki temperatur yang relatif lebih tinggi dibandingkan dengan daerah sekitarnya yang tidak terbakar. Penelitian ini bertujuan untuk mengetahui karakteristik temperatur burned area menggunakan data penginderaan jauh Landsat-8 Thermal Infra Red Sensor (TIRS). Lokasi penelitian yang dipilih adalah sebagian wilayah Kalimantan Tengah dan Kalimantan Selatan yang masuk scene Landsat-8 path/row 118/062. Metode penelitian yang dilakukan adalah pengolahan data Landsat-8 TIRS (kanal 10 dan 11) untuk menghasilkan citra suhu kecerahan serta analisis data yang meliputi analisis statistik tendensi sentral dari nilai-nilai suhu kecerahan dari sampel (perhitungan rerata dan standar deviasi) serta perhitungan jarak (D-value). Hasil penelitian menunjukkan bahwa data suhu kecerahan baik kanal 10 maupun kanal 11 Landsat-8 TIRS memiliki kemampuan yang baik dalam memisahkan burned area dan lahan terbuka, namun memiliki kemampuan yang rendah untuk memisahkan burned area dan permukiman. Dengan demikian, parameter suhu kecerahan belum bisa dipergunakan sebagai variabel tunggal untuk ekstraksi burned area pada suatu scene citra perekaman tunggal.
IMPLEMENTASI PENGINDERAAN JAUH DAN SIG UNTUK INVENTARISASI DAERAH RAWAN BENCANA LONGSOR (PROPINSI LAMPUNG) Samsul Arifin; Ita Carolita; Gothot Winarso
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol.3, No.1 Juni (2006)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Landslide is a phenomena of nature that is very potential to cause damage and the loss human life or material, although the loss is temporarily but the degraded land in the long run affects the lives of the local community. Therefore, to anticipate the occurance with mare casualties, thus a research to inventory potential landslide hazard is necessary to carry out. The implemanted model to detemine region of landslide hazard is Indeks Storie Model approach by implementing remote sensing data and geographic information system (GIS). Based on the analysis result, Lampung Provice have 5 stages of landslide hazard namely : very high, high, medium low and very low, with result of weight values between 0.001-1.68. Generally, Lampung province is quite safe against landslide, while region predicted as landslide hazard are found in 3 district which are West Lampung Regency, Tanggamus and some in North Lampung Regency.
KLASIFIKASI DAERAH TERCEMAR LIMBAH ACID SLUDGE MENGGUNAKAN METODE SPECTRAL MIXTURE ANALYSIS BERBASIS DATA LANDSAT 8 (CLASSIFICATION OF ACID SLUDGE WASTE CONTAMINATED AREA USING SPECTRAL MIXTURE ANALYSIS METHOD BASED ON LANDSAT 8 DATA) Nanik Suryo Haryani; Sayidah Sulma; Junita Monika Pasaribu; Hana Listi Fitriana
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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Abstract

Permasalahan limbah di suatu daerah dapat mengakibatkan terjadinya pencemaran, yang selanjutnya akan merusak lingkungan terutama lingkungan yang ada di sekitar pembuangan limbah tersebut. Penelitian ini bertujuan menganalisis daerah tercemar limbah acid sludge menggunakan data satelit penginderaan jauh Landsat 8. Metode yang digunakan untuk analisis spektral daerah tercemar menggunakan metode klasifikasi Spectral Mixture Analysis. Hasil yang diperoleh bahwa analisis spektral menggunakan metode ini dengan spektral referensi berdasarkan endmember citra memberikan hasil lebih baik. Hal ini disebabkan adanya panjang gelombang SWIR pada Landsat 8. Panjang gelombang SWIR sensitif terhadap fraksi dari unsur tercemar yang tinggi seperti pasir dan sludge, serta memiliki fraksi dari unsur tidak tercemar yang rendah seperti vegetasi. Selanjutnya dengan klasifikasi indeks berdasarkan endmember citra memperlihatkan hasil yang lebih sesuai dengan kondisi di lapangan. Berdasarkan perhitungan akurasi, diperoleh tingkat akurasi pengkelasan berdasarkan indeks ini sebesar 62,5 %.Kata kunci: Pencemaran, Acid sludge, Spectral mixture analysis, Endmember, Landsat 8.
APLIKASI LANDSAT DAN SIG UNTUK POTENSI LAHAN TAMBAK DI KABUPATEN BANYUWANGI Ety Parwati; Ita Carolita; Iskandar Effendy
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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Abstract

The application of Remote Sensing and Geographic Information System are used to evaluate land potential that is suitable for cultivation of fishpond. The parameter that is used in this research is the existing land use by remote sensing and analysis process, topographic/land slope,kind of land, climate data (such as; rainfall and amount of dry season). The evaluation of land potential gives 4 land suitability levels, they are 1)Suitable level:2)Rather suitable level:3)Less suitable level and:4)Non suitable level. The analysis shows that are three areas in Banyuwangi sub-province that is suitable for fishpond cultivation: they are Muncar, Rogojampi, and Pesanggrahan districts.
ESTIMASI LIMPASAN PERMUKAAN DARI DATA SATELIT UNTUK MENDUKUNG PERINGATAN DINI BAHAYA BANJIR DI WILAYAH JABODETABEK (SATELLITE BASED SURFACE RUNOFF ESTIMATION FOR SUPPORTING THE FLOOD EARLY WARNING SYSTEM IN JABODETABEK) Parwati Sofan; Nur Febrianti; Indah Prasasti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 1 Juni 2014
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Estimasi limpasan permukaan berdasarkan kondisi kelembaban tanah di wilayah Jakarta dan sekitarnya pada periode kejadian banjir, bulan Januari – Februari 2013 telah dilakukan berdasarkan data satelit penginderaan jauh Landsat dan Tropical Rainfall Measurement Mission. Data Landsat digunakan untuk menggambarkan jenis penutup/penggunaan lahan yang merupakan salah satu karakteristik daerah aliran sungai. Pada studi ini, data TRMM mampu merepresentasikan kondisi curah hujan wilayah sebesar 62.5%. Metode Curve Number-Soil Conservation Service (CN-SCS) digunakan untuk mengestimasi limpasan permukaan. Hasil estimasi limpasan permukaan ditunjukkan dalam bentuk satuan hidrograf, sehingga dapat diketahui kapan terjadinya banjir. Kondisi kelembaban tanah yang basah memberikan hasil hidrograf yang paling baik dimana pada studi ini diketahui bahwa puncak hidrograf terjadi pada tanggal 17 Januari 2013 yang bertepatan dengan kejadian banjir di wilayah Jakarta dan sekitarnya. Model hidrograf limpasan permukaan pada kondisi kelembaban tanah basah sangat berpotensi digunakan sebagai alat peringatan dini bahaya banjir. Secara spasial, akurasi keseluruhan wilayah Jakarta yang diidentifikasi banjir terhadap peta banjir yang dirilis oleh Badan Penanggulangan Bencana Nasional adalah sebesar 43 %, dengan produser’s accuracy sebesar 96 %, dan user’s accuracy 42 %.Kata Kunci: Banjir, TRMM, Landsat, CN-SCS, Limpasan permukaan, Jabodetabek

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