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Lalu Muhamad Jaelani
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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
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Search results for , issue "Vol. 10 No. 2 (2013)" : 5 Documents clear
MODEL DISEMINASI INFORMASI GEOSPASIAL PULAU-PULAU KECIL TERLUAR BERBASIS PEMANFAATAN PENGINDERAAN JAUH DAN GOOGLE MAPPING SYSTEM Sarno, Sarno
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3274

Abstract

This paper describes the implementation of Geospatial Information and Communication Technology (ICT-Geospatial) in the dissemination of geospatial information of outermost small islands in Indonesia. Dissemination models allow the user via the Internet and web media to easily interact and acquire geospatial information of outermost small islands that are needed through a web browser online. This study is a follow-up development of remote sensing applications of geospatial information "Outermost small islands in Indonesia Based on Three-Dimensional Maps Satellite Imagery and Land Cover Map". Geospatial information has been compiled and published using paper media in the form of albums. ICT-Geospatial has been growing very rapidly, especially the Internet, web media and geospatial information systems. Efforts to develop applications, allowing running processes of dissemination of geospatial information of outermost small islands in Indonesia to the general public through a network of electronic information. Those efforts are carried out through the construction of "Model of Dissemination of Geospatial Information of outermost small Islands Based on Remote Sensing Applications and Google Mapping System". With the establishment of model of dissemination of geospatial information of outermost small islands, it is expected to be a supporting complement of efforts to the dissemination of the information to the broader public and to benefit us all knowing the existence of small islands in the outer region of the Republic of Indonesia, so the society can participate in maintaining security, establishing and enforcing the boundaries; managing the natural resource/agriculture sustainably, taking part in the safety and preservation of natural resources.
METODE DETEKSI TERUMBU KARANG DENGAN MENGGUNAKAN DATA SATELIT SPOT DAN PENGUKURAN SPEKTROFOTOMETER STUDI KASUS: PERAIRAN PANTAI RINGGUNG, KABUPATEN PESAWARAN Arief, Muchlisin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3275

Abstract

Coral reefs are one of the spectacular ecosystems. These ecosystem provides good sand services, including protection from tropical storms, reef fisheries, opportunities for tourism and development of new pharmaceuticals. Coral reefs are marine resource that are to environmental changes (changes in water quality). it is very important to identify its status and monitor the changes of coralreef areas very often. Therefore, it is necessary to identify and monitor status changes as often as possible. This information is critical for conservation and sustainable development. This study focused on the identification of coral reefs by combining spectral information obtained from direct measurements in the field with the information band spectral remote sensing satellite SPOT. Based on the experiments, the correlation function which has the biggest correlation coefficient is a function obtained between the summation of the band (band1+band3) with the sum of spectral (spectral1 + spectral3). Based on the analsis, the methode/algorithm has been developed can identify/detect the shallow coral reefs/coral reefs-1 (depth of less than 1 meter) and not superficial coral reef/coral reefs-2 (depth of greater than 1 meters). Processing results show that Coral reefs-2 are found along the beach of Ringgung, while based on the calculation, around of the Tegal island there are 49 ha coral reefs-1, and 116 ha of Coral reefs-2, and around sandbar/sand arising surface water (area is 320 m²), the area coral reefs-1 are 12.38 ha and coral reef-2 in the area of approximately 42 ha.
PENGARUH PENGAMBILAN TRAINING SAMPLE SUBSTRAT DASAR BERBEDA PADA KOREKSI KOLOM AIR MENGGUNAKAN DATA PENGINDERAAN JAUH Budhiman, Syarif; Winarso, Gathot; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3276

Abstract

Lyzen ga (1978, 1981) developed a method to correct the water column using a ratio of bottom waters substrates reflectance on 2 (two) different bands, assuming that the ratio is the same for a different bottom type. The problem arise when the Lyzenga method was being simplified. In this case by sampling different bottom substrates as input. This study aims to compare the effects of the simplification process with the result of the calculation using the actual Lyzenga method. The calculation of water column correction followed the process described in the guide by UNESCO (1999) and Green et al (2000). The results showed that samples from two different substrates which has a very different radiance (reflectance) increased the index value of the substrate in deeper water.
PENGEMBANGAN MODEL IDENTIFIKASI DAERAH BEKAS KEBAKARAN HUTAN DAN LAHAN (BURNED AREA) MENGGUNAKAN CITA MODIS DI KALIMANTAN Suwarsono, Suwarsono; Rokhmatuloh, Rokhmatuloh; Waryono, Tarsoen
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3278

Abstract

supabase Please extract the text as it is Here is the extracted text from the image: DENOSING OF HIGH RESOLUTION REMOTE SENSING DATA USING STATIONARY WAVELET TRANSFORM Danang Surya Candra Peneliti Bidang Jianta, Pusdata, LAPAN e-mail: thedananx@yahoo. Parsa, I Made
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3279

Abstract

Land cover change, from bare land, water and to vegetation, or vice versa can be used as the basis for paddy fields mapping using the theory of probability, that is probability a land cover can be regarded as an paddy fields if a sequence of land cover changes of water, vegetation and bare land or vice versa on multitemporal images have been detected. The data being used were Landsat multitemporal imagery, while the methods being used in this analysis is the transformation of vegetation index and converted to land covers (bare land, water and vegetation). Detection of three types of land covers (bare land-water_vegetasi or viceversa) at sample area is assumed to have a probability 1 as paddy fields, if only two of the land cover types were detected (water and bare land , or water and vegetation , or vegetation or bare land ) the land cover of that pixel is assumed to have the probability as paddy fields 0.67, whereas if only one land cover types were detected for example only of water, or bare land or vegetation only, then the probability as paddy fields is assumed to be just 0.33. The results of the study showed that multitemporal Landsat of the study area is adequate for paddy fields mapping with accuracy of 91.2%.

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