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Lalu Muhamad Jaelani
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Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo-engineering; Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia. Phone 031-5929486, 031-5929487
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Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 14128098     EISSN : 2549726X     DOI : https://doi.org/10.12962/inderaja
Core Subject : Science, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital (the Journal of Remote Sensing and Digital Image Processing) is a scientific journal dedicated to publishing research and development in technology, data, and the utilization of remote sensing. The journal encompasses the scope of remote sensing as outlined in Law No. 21 of 2013 on Space Affairs, which includes: (1) data acquisition; (2) data processing; (3) data storage and distribution; (4) utilization and dissemination of information. The journal was first published by the Indonesian National Institute of Aeronautics and Space (LAPAN) in June 2004 and received its initial accreditation as a "B" Accredited Scientific Periodical Magazine from LIPI in 2012. In 2015, the journal successfully maintained its "B" Accredited status. From 2018 to 2021, the journal was accredited as SINTA 2 with certificate number 21/E/KPT/2018. Starting from March 2025, the journal has been managed by the Institut Teknologi Sepuluh Nopember (ITS), in collaboration with the Geoinformatics Research Center of BRIN and the Indonesian Society for Remote Sensing (ISRS/MAPIN). The journal encompasses the scope of remote sensing as outlined in Law No. 21 of 2013 on Space Affairs, which includes: data acquisition; data processing; data storage and distribution; utilization and dissemination of information.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 12 No. 2 (2015)" : 5 Documents clear
PERBANDINGAN HASIL KLASIFIKASI LIMBAH LUMPUR ASAM DENGAN METODE SPECTRAL ANGLE MAPPER DAN SPECTRAL MIXTURE ANALYSIS BERDASARKAN CITA LANDSAT - 8 Sulma, Sayidah; Pasaribu, Junita Monika; Fitriana, Hana Listi; Haryani, Nanik Suryo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3311

Abstract

The utilization of remote sensing data is an alternative way that could be used for rapid detection of large coverage hazardous waste area. This study aims to classify the acid sludge contaminated area using Landsat 8 by applying Spectral Angle Mapper (SAM) classification method with two spectral reference sources, namely field spectral measurement using a spectrometer and endmember spectral from the image, and then compare the classification results. The accuracy level of SAM classification result showed that classification using endmember spectral from the image as the reference spectral reached 66.7%, whereas classification using field spectral measurement as spectral reference only reached 33.3%. The Spectral Mixture Analysis (SMA) classification result showed that classification using endmember spectral from the image as the reference spectral reached 62.5%. The affecting factors for the low accuracy is the significant differences of the spectral profiles obtained from spectrometer with spectral Landsat-8 due to differences of spatial and altitude measurements.
PERBANDINGAN ANTARA MARINE ACOUSTIC REMOTE SENSING DAN SWEPT AREA TRAWL DALAM PENDUGAAN DENSITAS IKAN DEMERSAL DI PERAIRAN TARAKAN Simbolon, Domu; Priatna, Asep; Hestirianoto, Totok; Purbayanto, Ari
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3312

Abstract

The use of hydroacoustic surveys simultaneously with trawl swept area is expected to complement and increase the accuracy each other in estimation of the fish stock resources, especially demersal fish. Therefore, advantages and disadvantages of each method will be disclosed. The purpose of this study was to compare the density of demersal fish from detection of hydroacoustic surveys toward catches of bottom trawl, and to determine the factors that influence differences in fish density estimated of swept area and acoustic method. The study was conducted on May, August and November 2012 around Tarakan waters, North Borneo, using echo sounder Simrad EY60-120 kHz and bottom trawl simultaneously to measure density of demersal fish. Demersal fish density estimation of the two methods showed a highly significant difference. Difference in the estimation of fish density was affected by catchability, dead zone area of trawling, and fish behavior.
PENGEMBANGAN MODEL EKSTRAKSI SUHU PERMUKAAN LAUT MENGGUNAKAN DATA SATELIT LANDSAT 8 STUDI KASUS: TELUK LAMPUNG Arief, Muchlisin; Adawiah, Syifa W.; Parwati, Ety; Hamzah, Rossi; Prayogo, Teguh; Harsanugraha, Wawan K.
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3313

Abstract

PENGARUH ALGORITMA LYZENGA DALAM PEMETAAN TERUMBU KARANG MENGGUNAKAN WORLDVIEW-2, STUDI KASUS: PERAIRAN PILU PAITON PROBOLINGGO Jaelani, Lalu Muhamad; Laili, Nurahida; Marini, Yennie
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3314

Abstract

Mapping the coral reef ecosystems to support the coastal management can be carried out using a high-resolution satellite imagery. Various methods of sea bottom features extraction have been developed and can be implemented to support the mapping process, one of them is Lyzenga's algorithm. This algorithm requires a depth variation of the area. The objective of this research is to investigate the effect of Lyzenga's algorithm on coral reef mapping. In this research, we compared the classification results of coral ecosystem between image with and without Lyzenga's algorithm. The image classification with this algorithm showing the appearance of sea bottom features were more differentiated and turn into Lyzenga index values which have been free from the water column effect. It produced several classes, they were oceans, land, sand, and coral reefs. The estimated area of coral reefs ecosystems in the waters of Paiton Probolinggo based on Worldview-2 classification result was 8.26 ha. Mapping coral reef ecosystem by using a high-resolution satellite imagery was very helpful giving the visualization of a wider area than the field observations.
DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS Suwarsono, Suwarsono; Hidayat, Hidayat; Suprapto, Totok; Yulianto, Fajar; Sari, Nurwita Mustika; Parwati, Parwati; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3315

Abstract

Geologically, most of Indonesia is located on subduction zone of the Pacific ring of fire that causes many emerging active volcanoes. The existence of active volcanoes has an implications that the volcanic eruption could occur at any time. This study aims to detect the precursors of volcanic eruption by using parameters NTI (Normalized Thermal Index) derived from MODIS data. Volcanic object selected is Raung Volcano in East Java, where around June to July 2015 showed an increase in volcanic activity and was erupted. Data processing method includes processing of Landsat-8 for the determination of the area of interest (caldera and active crater), MODIS image processing for NTI measurement, and analysis of spatial and temporal patterns of NTI. The results showed that the precursors of a volcanic eruption can be detected from the increasing of the NTI value in the kaldera and its value which relatively higher than in the surrounding area. NTI parameters have proven to have a good ability to distinguish between the kaldera and other objects during eruption period. In case of Raung Volcano, NTI value = 0.06 can be applied as a threshold value for the eruption of this volcano.

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