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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 146 Documents
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PENENTUAN SUHU PERMUKAAN LAUT DAN KONSENTRASI KLOROFIL UNTUK PENGEMBANGAN MODEL PREDIKSI SST/FISHING GROUND DENGAN MENGGUNAKAN DATA MODIS Nana Suwargana; Muchlisin Arief
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3086

Abstract

Research on oceanography application either in global scale or mesoscale requires sea surface temperature observation and imagery ocean color from satellite. LAPAN has done some observation on oceanography by using NOAA-AVHRR Satelit Data, as in determining the implemented sea surface temperature to determine fishing ground (fish catching area), etc. However, by launching the new satellite that TERRA Satellite that brings spectral multi sensor (MODIS data/Moderate Imaging Spectroradiometer), the research is tried by using MODIS data. The aim of this research is to determine sea surface temperature distribution and to see klorofill content distribution by using MODIS data in order to determine the phenomena of upwelling and front. The method that is carried out in this research is by using algoritma from (Minnet, 2001) for sea surface temperature and (Relly, 1998) for klorofill concentration, and to converse the radiance value [band 21 and band 32] of MODIS image to sea surface temperature value and conversion of two-channel ratio of visible area [band 9 and 12] to the value of the klorofill content. The result of the research shows that algoritma development model whether for sea surface temperature or cholorophyll concentration gives the value of spatial distribution that generally is close to what has been obtained from NOAA-AVHRR satellite data or SeaWhifs. However, the above result still require the detailed development and validation.
PENGKAJIAN NILAI VEGETASI DATA MODIS DENGAN MENERAPKAN BEBERAPA ALGORITMA PENGOLAHAN DATA INDEKS VEGETASI Indah Prasasti; Kaimoko Ari Sambodo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3088

Abstract

The vegetation index (VI) that is extracted from MODIS data using several algorithms still needs to develop and to study. It is due to MODIS (Moderate Resolution Imaging Spectroradiometer) data that is relatively new in the operation and data application. The study aims to compare sensitivity application of 3 algorithms for extraction of vegetation index data. The simulation in this research is using MODIS data level 1B with all resolution (250m, 500m, and 1000m) for Kalimantan Island dated May 17, 2002 by applying NDVI algorithm (Normalized Difference Vegetation Index), SAVI (Soil Adjusted Vegetation Index),and SARVI (Soil and Atmosphere Resistant Vegetation Index). The result of this research shows that the application of SAVI and SARVI algorithms in cloud-dominated location will have higher vegetation index value as much as 0.001 - 0.04 unit with SAVI model, if compared with SAVI and can be higher or lower compared with SARVI value, depending on the condition of how much influential factor of atmospheric water vapor, aerosol content and canopy background that can be reduced and corrected by applying the SARVI model. In the meanwhile, in urban area, the applying of SAVI model will be lower as much as 0.14-0.15 unit, and about 0.1-0.15 unit with SARVI model if compared with NDVI.
PENENTUAN POTENSI LAHAN UNTUK TANAMAN KEDELAI DAN CENGKIH DARI DATA LANDSAT TM DAN IKLIM DI KABUPATEN BANYUWANGI DENGAN SISTEM INFORMASI GEOGRAFIS Ety Parwati; Indah Prasasti; Iskandar Effendy
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3089

Abstract

Clove and soybean are plantations that have high enough economic pontetial. Both of these commodities need suitable land climate condition to grow in optimum. The process of Remote Sensing and climate data with Geographic Information System can determine a suitable land for clove and soybean plantations. Land potential evaluation uses Land Use data that is extracted from Landsat-TM data. The land suitability level is then determined based on climate parameter (rainfall and draught period) and land physical properties for sorbean and clove in Banyuwangi Regency.
ANALISIS PENGEMBANGAN LAHAN UNTUK TANAMAN KACANG TANAH DI JAWA BARAT DARI DATA LANDSAT DENGAN SISTEM INFORMASI GEOGRAFIS Agus Hidayat; Erna Sri Adiningsih; Parwati Setiawan
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3090

Abstract

Land development for peanut plantation is important as one of the efforts to increase peanut production in Indonesia. Land development guidance map that is overlayed with land cover map based on Landsat data can be used as a reference for the implementation. This research was aimed to analyze land development for peanut plantation in West Java based on the existing land suitability map and land cover map from Landsat ETM + in the 2002, and to determine potential areas for peanut plantation based on land suitability and land cover using geographic information system. The result shows that the greater part of the area for peanut plantation in the research area is on the land ranging in low to medium potential although during 3 years (1999-2001) the plant productivity was relatively moderate to high (10,94 - 15,97 kw/ha). Meanwhile, the area that is potential to develop as peanut plantation area in the research area of northern West Java is in Bogor Regenc, particularly around Tinarjaya. The land coverage in the 2002 that was suitable for peanut plantation development area was still shrub (1.201,14 ha), bare land (395,37 ha), rain-fed paddy field (285,75 ha), and dry land (234,63 ha).
DISTRIBUSI SPASIAL HOT SPOT DAN SEBARAN ASAP INDIKATOR KEBAKARAN HUTAN/LAHAN DI PULAU SUMATERA DAN KALIMANTAN TAHUN 2002 Any Zubaidah; Muchlisin Arief
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3091

Abstract

Forest/land fire in Indonesia occurs almost every year. Itis merely due to natural factor, but due to human's activity as well like in opening of new land for agriculture purpose or plantation, or forming of land/land clearing. Fire that is indicated by the existenceof hot spot can be monitored daily using near infra-red channel and thermal (channel 3 and 4) from NOAA-AVHRR satellite data (National Oceanic and Atmospheric Radiometer-Advanced Very High Resolution Radiometer). Pursuant to the daily hot spot monitoring in Sumatera in the year 2002, forest/land fire has occurred since January until December, while in Kalimantan, it start in March until December. The fluctuation of hot spot in the year 2002 has almost the same pattern with the year 1997's, where the peak of fire occurred in September in Kalimantan Island and in October in Sumatera Island. Besides, pursuant to NOOA and Feng Yun data, haze distribution that occurred in the year 2002 was not too significant and haze distributions that mostly took place in September in Kalimantan and in October in Sumatera. Degradation of fire activity occurs in the following month where the fire in the two island drop along with the increasing of rainfall in the two island.
APLIKASI DATA 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 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3092

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.
MODEL PERENCANAAN PENGEMBANGAN WILAYAH AGRO INDUSTRI BERDASARKAN ANALISIS PENGINDERAAN JAUH DAN SIG Samsul Arifin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3093

Abstract

The policy of governmenr's economical agriculture is to emphasize on agriculture supported by the industry and vice versa. This is directed to increase the welfare of Indonesian people. One of the bridges that can connect the two things (agriculture and industry) is agro industry. The model of planning development of regional space system for argo industry has the porpose of arranging and planning food plantation argo-industry zone so that the condition of establishing an industry can be supported by the continuous availability of raw material that the carrying out of argo industry can be continuously and permanently. The applied approach to the forming of the model uses GIS with room analysis. The parameter used is land physical aspect parameter (land availability) and social economy. Research on the study case is carried out in Lampung Tengah Regency. Based on analysis of Lampung Tengah Regency, there are three argo industry zones that is paddy Argo industry zone located in Padang Ratu district, corn argo industry zone located in Gunung Sugih, and cassava argo industry zone located in Rumbia district.
ANALISIS SPASIAL KONVERSI LAHAN SAWAH DI KABUPATEN BEKASI (STUDI KASUS DI KECAMATAN CIBITUNG DAN TAMBUN) Dede Dirgahayu
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3095

Abstract

The result of spatial analysis indicates that there has been position sidetrack of paddy field concentration (SM=Spatial Mean)from the year 1996 until the year 2000 to the North East direction as far as 691 m in Cibitung district and 481 m in Tambun district. The SM movement is away from the center of social economic activity of the community whether in yhe local area (district) or the regional area (City, Regency). Land conversion of paddy field into non-agricultural land that mostly occur are as a residential and industrial area. Land conversion has also occured in Tambun of paddy - then more settlement type about 105.2 Ha and 154.6 Ha in Cibitung. Land conversion of paddy - then more industry type has occured in Cibitung about 486.1 Ha and 87.9 Ha in Tambun. Paddy field conversion that occurs in the research location has taken place in Highly Suitable (S1) land, and has high productivity because it taken place in the area High Accessibility towards main road and center of the district.
PENGEMBANGAN MODEL ESTIMASI UMUR TANAMAN SAWIT DENGAN MENGGUNAKAN DATA LANDSAT-TM Jansen Sitorus
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3096

Abstract

Oil Palm Plantation (Elaelis Guineensis Jacq), in its growth will undergo physical change so that it can be monitored by remote sensing data, that is by observing the influence of age towards spectral band reflectance or indices that can be obtained from Landsat-TM data. The analysis shows Landsat spectral band that correlates with oil palm plantation's age is Band-5 (r=-0.75), Band-7 (r=-0.52), Band-4 (r=-0.50). The indices that correlate with oil palm plantation's age is ratio Band 5/3 (r=-0.71), IRI (r=-0.56) and MIRI-1 (r=-0.48). NDVI and IRI do not correlate with the plantation's age. 
PENGEMBANGAN METODE ZONASI DAERAH BAHAYA LETUSAN GUNUNG API STUDI KASUS GUNUNG MERAPI Wikanti Asriningrum; Heru Noviar; Suwarsono Suwarsono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3097

Abstract

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.

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