cover
Contact Name
Lalu Muhamad Jaelani
Contact Email
lmjaelani@its.ac.id
Phone
+62819634394
Journal Mail Official
lmjaelani@its.ac.id
Editorial Address
Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo-engineering; Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia. Phone 031-5929486, 031-5929487
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
ISSN : 14128098     EISSN : 2549726X     DOI : https://doi.org/10.12962/inderaja
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.
Articles 147 Documents
ANALISIS KESESUAIAN LAHAN TAMBAK KONVENSIONAL MELALUI UJI KUALITAS LAHAN DAN PRODUKSI DENGAN BANTUAN DATA PENGINDERAAN JAUH DAN SIG Suwargana , Nana; Sudarsono, Sudarsono; Siregar, Vicentius P.
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3171

Abstract

The purpose of this research are: a) To evaluate the conventional fishpond land suitability; b) To examine the land quality criteria on the conventional fishpond land suitability. The method will explore and integrate the Landsat-TM data and the Geography Information System (GIS) with parametric approach model in the study area. The result of the research and investigation are: a) The fishpond potential area for the development is estimated about 22530,5 hectare (suitable land) and is about 20966,2 hectare (suitable moderately land);b) The Land suitability criteria of the conventional fishpond in the research location are the same.
PENGEMBANGAN MODEL PENDUGAAN KELENGASAN LAHAN MENGGUNAKAN DATA MODIS Domiri, Dede Dirgahayu
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3172

Abstract

This research aims to estimate the land moisture condition of the agricultural land, especially for paddy fields based on MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data with 250 m and 500 m spatial resolution and daily temporal resolution. An index called Land Moisture Index (LMI) is created from 1st principle component result of NDSI (Normalize Difference Soil Index), and NDVI (Normalize Difference Vegetation Index), NDWI (Normalize Difference Water Index). There is a high correlation between the LMI and the soil moisture (LM) for the agricultural land with the soil moisture then more 75%, as the increasing of LM is followed by the increasing of the LMI. Based on the above method, the land moisture can be derived spatially from the agricultural land, and especially on the paddy fields for drought prediction.
PENGUKURAN SUHU PERMUKAAN LAHAN UNTUK PREDIKSI LETUSAN GUNUNG API Noviar, Heru; Asriningrum, Wikanti; Rijono, Yon
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3173

Abstract

Temperature is one of the important parameter for volcano eruption prediction. Remote Sansing Data can be used to measure land surface temperature. The land surface temperature can be calculated with the band 4 and 5 of NOAA Satellite data by implementing the land surface temperature algorithm (LST). From field observation and measurement of volcano Merapi temperature indicate a significant pattern between the creater temperature and the land surface temperature derived from satellite data which shows increasing near eruption.
MODEL SPASIAL INDEKS LUAS DAUN (ILD) PADI MENGGUNAKAN DATA TM-LANDSAT UNTUK PREDIKSI PRODUK PADI Sitanggang, Gokmaria; Domiri , Dede Dirgahayu; Carolita , Ita; Noviar, Heru
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3174

Abstract

The spatial model for irrigated paddy yield acreage and yield prediction use the Landsat-TM of remote sensing data which has been producted by LAPAN using the Vegetation Index (VI) as a single parameter. Verification of the model mentioned above has also been done for Java Island showing that the accuracy result is acceptable for the operational although there are some limitation of the model. The objective of this research is to develop a spatial model for the paddy yield acreage and the yield prediction using Landsat-TM data, based on another parameter i.e the single parameter of Leaf Area Index (LAI), or using both parameter of LAI and VI to improve the accuracy prediction, compared to the accuracy using the single parameter of VI. The spatial model based on the Leaf Area Index (LAI) reduces dynamic factor of the parameter which control the growth stage of the paddy in the field such as the soil moisture (level of water) and the weather condition such as the temperature and the moisture radition, pests and diseases. In this research phase, the profile of LAI against the paddy age based on the field measurement shows that the LAI value increases a long with the vegetative growth and reaches the peak value of 4,567 at the maximum vagatative index (8-9weeks after the planting time). Furthermore, the LAI value decreases a long with the generative growth. The LAI value at the maximum vegetative phase can be used to predict the paddy production. The relation between the LAI and the spectral bands combination of Landsat-TM can be obtained by using the Power Regression Model as follows: LAI=0,2219*(TM4/TM3)2,1005(R2=0,95) where LAI means the value Leaf of Area Index on the paddy object at the paddy field area, which represents the pixel in the image spatial distribution. While TM3 means the digital number (gray level value) of the pixel in the spectral band 3 of Landsat-TM image data which represent the paddy object at the paddy field area, and TM4 means the digital number of the pixel in the spectral band 4 of Landsat-TM image data, which represent the paddy object at the paddy field area. The research also shows the application example or the model or the algorithm whivh is obtained in this research by using Landsat-TM. The LAI spatial of the paddy field area in Kabupaten Subang/Sukamandi West Java can be produced.
PEMANTAUAN KERUSAKAN LINGKUNGAN WILAYAH MERATUS, KALIMANTAN SELATAN DARI CITRA LANDSAT-TM DENGAN KAJIAN GEOGRAFIS Hardiyanti , Florentina Sri; Taufik, Kiki; Gadharum, Laju; Rambo, Rambo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3175

Abstract

There are some damages in the evironment of the forest areas of Meratus mountainous, South Kalimantan. It's damaged one side in slope areas. Land conversion whitout consideringthe conservation has contributed to the damaged. The method of the evironment monitiring studies is by using the remote sensing and the geographic information system. The amount of the evironment gradation is 398.820 Ha. Its gradation is in the forest conservation area and in the tropical forest in montainous, slope, basin and swamp forest. Bushes are covered up to 108.750 Ha. Wisdom reforms and social culture are responsible for the physical damages of the evironment.
ESTIMASI AIR MAMPU CURAH MENGGUNAKAN DATA MODIS SEBAGAI INFORMASI CUACA SPASIAL DI PULAU JAWA Setiawan, Panvati; Hidayat, Agus; Sugiharlo, Totok; Hasnaeni , Hasnaeni
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3180

Abstract

IMPLEMENTASI PENGINDERAAN JAUH DAN SIG UNTUK INVENTARISASI DAERAH RAWAN BENCANA LONGSOR (PROPINSI LAMPUNG) Arifin, Samsul; Carolila, Ita; Winarso, Gothot
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3181

Abstract

Landslide is a phenomenon of nature that is very potential to cause damage and the loss of 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 occurrence with more casualties, thus a research to inventory potential landslide hazard is necessary to carry out. The implemented model to determine region of landslide hazard is Indeks Storie Model approach by implementing remote sensing data and geographic information system (GIS). Based on the analysis results, Lampung Province 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 districts which are West Lampung Regency, Tanggamus and some in North Lampung Regency.
ANALISIS HUBUNGAN PENUTUP/PENGGUNAAN LAHAN DENGAN TOTAL SUSPENDED MATTER (TSM) KAWASAN PERAIRAN SEGARA ANAKAN MENGGUNAKAN DATA INDERAJA Parwati, Ety; Trisakti, Bambang; Carolita, Ita; Kartika, Tatik; Harini, Sri; Dewanti, Ratih
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3183

Abstract

Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the study area for this research. This region, like other estuaries, has a unique ecosystem which is protected and surrounded by the mangrove forest that can cause very dynamic development. In the upland, there are three big rivers flow; Citanduy, Cibeureum, and Cimeng. The main issue in this region is that the lagoon to become narrowing because of rapid sedimentation process. Landsat MSS, TM, and ETM of the years 1978, 1995, 1998, and 2003 are remote sensing data used in this research. An analysis in term of correlation between landuse/landcover changes and sedimentation was carried out by looking at their changes in the upper land especially along the rivers that have big contribution to the sedimentation in the lagoon. The result shows that there is high relation between landuse/landcover changes in the upper land and sedimentation around the lagoon.
PERUBAHAN KERUSAKAN LAHAN PULAU MADURA MENGGUNAKAN DATA PENGINDERAAN JAUH DAN SIG Haryani, Nanik Suryo; Kustiyo, Kustiyo; Khomarudin, Rokhis; Parwali, Parwali
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3184

Abstract

Development activities that do not pay enough attention to the environmental aspect will bring about the effect to the environment, particularly to the event of land damage. The effort to control and recover the land damage calls for the complete and accurate data and information. Along with the remote sensing technology development, it enables to study the land damage effectively and efficiently in the large scale region. The method used in the research is by utilizing the Landsat-TM image and the Geographic Information System (GIS) to determine the stage of land damage. The potential determination of land damage is carried out by weighting the indicator of land damage that all together function as the variable. The output obtained shows that the stage of land damage in Madura Island from 1994 until 2001 is the condition or the stage of land damage that belongs to the rather damaged class decreases to 0.90%, while the stage that belong to the damaged class is 3.90% and the stage of the big damaged is 0.14%.
ANALISIS KESESUAIAN PERAIRAN TAMBAK DI KABUPATEN DEMAK DITINJAU DARI NILAI KLOROFIL-A, SUHU PERMUKAAN PERAIRAN, DAN MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA CITRA SATELIT LANDSAT ETM 7+ Arief , Muchlisin; Laksmi W. , Lestari
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3185

Abstract

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