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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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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.
PREDIKSI POLA PERSEBARAN TUMPAHAN MINYAK MENGGUNAKAN DATA CITRA SATELIT SENTINEL-1 DI PERAIRAN BINTAN, KEPULAUAN RIAU Tirsa Aulia Puspitasari; Mochamad Arif Zainul Fuad; Ety Parwati
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 Nr. 2 Desember 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.a3348

Abstract

Bintan is one of the regions with annual cases of oil spills, which were excluded from tank cleaning and black waste disposal activities. In arranging oil spill response, it is important to know the areas that are potentially affected, using oil spill trajectory model by GNOME. SAR (Sentinel-1) data is used to create coordinates for oil spills location in GNOME. SAR data processing is using SNAP software, with Lee Algorithm filter (window 5x5). The areas that potentially exposed to oil spills are known based on Environmental Sensitivity Index (ESI). In this model, oil spill will reach the Bintan Coast within 2 to 5 days with average surface current speed of 4.28 m/s (West Monsoon). The estimated of oil total amount is 1,767 barrel, which 1,157 barrel polluted the coast, 606 barrel has evaporation and dispersion and the other 4 barrel was off map. The most sensitive area to oil spills are Trily Resort Center Bintan and Sebong Bay (Index 10D). The ESI average among the Bintan region are Index 3A and 3B such as Lagoi, Tanjung Berakit, Pulau Pangkil, Pulau Mapur, Cabana, Pulau Lobam, Pantai Mayang Sari, Pantai Indah Club Med Bintan, Bintan Lagoon Resort, Pantai Senggiling, and Pengudang.
DEVELOPMENT OF HYBRID COMPRESSION ON LANDSAT-8 IMAGERY FOR QUICK-LOOK AND STORAGE SAVINGS Yuvita Dian Safitri; Wismu Sunarmodo; Ayom Widipaminto
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.a3167

Abstract

Compression is an important part of management for remote sensing images. Various methods were developed to produce the best compression results. This paper proposes a hybrid method that combines the methods of PCA, DCT, DWT, and LZW to produce the smallest file size with the best PSNR value on Landsat-8 images. The stages carried out in this study include; determine random cloud-free datasets at maximum zoom, specify n_component using PCA, the compression process in bands 6, 5, and 2; comparison of compression techniques (time consumption - PSNR - file size), as well as visual inspection of compression results. The experimental results show that the file size of Landsat-8 image dataset using the hybrid method ranges from 22-55 kB with a processing time of less than 2 seconds using the python programming language. However, the PSNR value produced is still below the other methods with a range of 48-51%.
Halaman Belakang Vol. 17 No. 2 Desember 2020 Redaksi Jurnal
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 Nr. 2 Desember 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.a3623

Abstract

DINAMIKA LUASAN MANGROVE DI PESISIR PROBOLINGGO MENGGUNAKAN CITRA SATELIT Tubagus Solihuddin; Aristiya Putri Widyantara
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 Nr. 2 Desember 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.a3216

Abstract

Indonesia has the most extensive mangrove ecosystem in the world. One of mangrove ecosystem is located at Probolinggo coastal area, East Java Province. The mangrove area changes, over time whether it's decreasing or increasing. This research aims to calculate the extent of mangrove ecosystem in the past 20 years and map the distribution of mangrove in three different times i.e. 1998, 2008, and 2018. The satellite imageries used in this research are 1998’s Landsat 5 TM imagery, 2008’s Landsat 7 ETM+ imagery, and 2018’s Landsat 8 OLI imagery. Object-Based Image Analysis (OBIA) was employed to classify the mangrove and calculate the area for the 1998, 2008, and 2018 respective year. Normalized Difference Vegetation Index (NDVI) was used to determine the density level of mangrove canopy based on an object’s response to spectrum radiation red and NIR. The result shows that the mangrove area decreased from 1998 to 2008 constituting 514 Ha, and 386 Ha respectively. The mangrove area increased to about 464 Ha in 2018. The average mangrove canopy densities referring to NDVI analysis are 0.22012, 0.119492, and -0.019555 in respective years of 1998, 2008, and 2018. Within these 20 years, based on BAPLAN Forestry’s table classification of mangrove forest density, the mangrove forest densities at Probolinggo coastal area are relatively low.
Halaman Depan Vol. 16 No. 1 Juni 2019 Redaksi Jurnal
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 | DOI: 10.30536/j.pjpdcd.2019.v16.a3397

Abstract

ANALISIS SPEKTRAL DARI SERAPAN DAN PANTULAN DAUN LAMUN MENGGUNAKAN SPEKTRORADIOMETER TRIOS-RAMSES DI NUSA LEMBONGAN DAN PEMUTERAN, BALI Alvidita Beatrix Indayani
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 Nr. 2 Desember 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.a3384

Abstract

Knowledge and technological developments are needed to achieve the 14th sustainable development goals (SDGs), namely life below water.One of the developments in remote sensing technology is hyperspectral data for spectrometry analysis using underwater sensors. This study aims to determine the absorption and reflectance features as well as the specific location of the spectral channels of various seagrass leaf conditions. Spectral measurements were carried out on three species of seagrass, namely Cymodocea rotundata (Cr), Thalassia hemprichii (Th), and Enhalus acoroides (Ea) along with the physical conditions attached to seagrass leaves (green, yellow to brown, black, and covered leaves by epiphytic organisms) in shallow sea waters. Spectral measurements using a spectroradiometer equipped with an irradiance hyperspectral radiometer sensor from TriOS-RAMSES, have a spectral range of 320-950 nm and a spectral channel width of 3.3 nm. The measurement process is done with a Field of View (FOV) angle of seven degrees (70). The continuum removal algorithm is used to identify the spectral response features of various seagrass leaf conditions. The results show the location of absorption channels and reflections close together. The location of the absorption feature occurs in the blue channel region (463-493 nm) and the red-red edge channel (671-674 nm). The location of the reflected peaks in the green channel (560-577 nm) and red channel (648 nm) of various seagrass leaf conditions.
PEMETAAN HABITAT BENTIK DI PULAU LIKI, PAPUA, MENGGUNAKAN CITRA SATELIT SENTINEL-2A Citra Arum Sari; Achmad Fachruddin Syah; Bayu Prayuda; Abdullah Salatalohi
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.a3322

Abstract

ABSTRAKHabitat bentik memiliki berbagai fungsi baik secara ekologis maupun ekonomis bagi kehidupan di pulau-pulau kecil atau di wilayahpesisir. Pada habitat bentik terdapat beberapa ekosistem seperti ekosistem lamun dan ekosistem terumbukarang yang patut menjadi perhatian. Penelitian ini bertujuan untuk memetakan habitat bentik di Pulau Liki, Papua, dengan mengunakan data citrasatelit Sentinel-2A. Data citra yang digunakan diperoleh dari earthexplorer.usgs.gov website dan in situ data digunakan untuk kalibrasi data citra. Metode algoritma Lyzenga digunakan untuk memperbaiki kualitas citra dengan menghilangkan gangguan yang ada di kolom perairan sedangkan metode klasifikasi unsupervised digunakan untuk mengklasifikasi objek yang ada di kolom perairan. Hasil menunjukkan bahwa baik ekosistem terumbu karang maupun ekosistem lamun mengitari seluruh wilayah perairan Pulau Liki. Pada perairan tersebut ekosistem terumbu karang mempunyai luas total sebesar 153,64 ha sedangkan ekosistem lamun sebesar 143,53 ha. Informasi lokasi dan luasan ekosistem ini dapat dijadikan sebagai acuan dalam pengelolaan sumberdaya pesisir yang ada di PulauLiki, Papua. Kata kunci: Algoritma Lyzenga, Citra Sentinel-2A, Habitat Bentik, Pulau Liki ABSTRACTBenthic habitats have various functions both ecologically and economically for life on small islands or in coastal areas. In benthic habitats, there are several ecosystems such as seagrass ecosystems and coral reef ecosystems that deserve attention. This study aims to map benthic habitat on Liki Island, Papua, using Sentinel-2A satellite image data.The image data was obtained from the earthexplorer.usgs.gov website and in situ data was used for image data calibration. Lyzenga algorithm method was used to improve image quality by eliminating interference in the water column while unsupervised classification method was used to classify objects in the water column. The results show that both coral reef and seagrass ecosystems surround the entire territory of Liki Island waters. In these waters, corals reef ecosystems have a total area of 153.64 ha while seagrass ecosystems of 143.53 ha. Information on the location and extent of these ecosystems can be used as a reference in managing coastal resources on Liki Island, Papua.  Keywords: Lyzenga Algorithm, Citra sentinel-2A, Benthic Habitat, Liki Island
Halaman Depan Vol. 17 No. 2 Desember 2020 Redaksi Jurnal
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 Nr. 2 Desember 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.a3622

Abstract

Halaman Belakang Vol. 17 No. 1 Juni 2020 Redaksi Jurnal
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.a3497

Abstract

Page 17 of 18 | Total Record : 179

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