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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 153 Documents
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Bahasa Inggris Abdurrahman Afiq Yuda Hammaami; Nain Dhaniarti Raharjo; Lalu Muhamad Jaelani
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 20 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v20i1.9762

Abstract

The Suramadu Bridge is a vital infrastructure connecting Java and Madura Islands. Pylons, as key components of cable-stayed bridges, are susceptible to geometric changes due to sea wave exposure, wind loads, and increasing traffic volume. This study analyzes the geometric displacement of pylons by comparing two periods of UAV LiDAR point cloud data acquired on 5 January 2026 and 2 February 2026 against the Detailed Engineering Design (DED). Data acquisition was conducted using a DJI Matrice 350 UAV with a Geosun GS-260H LiDAR sensor. The geometric analysis encompasses six dimensional parameters and pylon tilt calculated from the combined centroid of both pylon legs. Accuracy validation using ICP points based on SNI 9135-2:2023 confirmed both periods achieved Class 2 accuracy at 1:2,500 scale. The upper width parameter (L1) recorded the largest deviation of 186 mm on the Madura pylon in Period 3, while the middle thickness (T2) was identified as the most critical parameter due to consistently negative deviation, reaching 134 mm on the Madura pylon in Period 5. The Mean Absolute Error indicated that the MDR pylon (51 mm) exhibited greater dimensional change intensity than the SBY pylon (36 mm). Tilt analysis showed both pylons inclined convergently toward the main span, attributed to cable tension.
Variabilitas Spasio-temporal Terrestrial Water Storage dan Groundwater Storage di Pulau Papua Menggunakan Satelit GRACE dan GRACE-FO Daniar Ihza Carundyatama; Krisna Dwi Oktabrian; Farrel Fitria Nathania Kuncara; Purwanti Lelly Sabrina; La Ode Ashamad Nusriah
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 20 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v20i1.9810

Abstract

Papua Island represents a region with complex hydrological characteristics influenced by mountainous topography and equatorial tropical climate conditions. This study aims to analyze the spatial, temporal, and seasonal variability of Total Water Storage (TWS) and Groundwater Storage (GWS) across Papua Island during the period 2005–2024 using GRACE and GRACE-FO satellite data integrated with Global Land Data Assimilation System (GLDAS) outputs. The analysis includes spatial mapping of TWS distribution for selected representative years, time-series evaluation across three sub-regions (West Papua, North Papua, and South Papua), and estimation of GWS using the residual approach. The results indicate strong spatial heterogeneity in TWS distribution, with higher storage consistently observed in West Papua and North Papua compared to South Papua. Temporally, TWS shows a positive increasing trend across all sub-regions, with the highest rate observed in West Papua at +0.43 cm/year. GWS variations exhibit a positive long-term trend of +0.38 cm/year and a clear seasonal recharge–depletion cycle, with recharge occurring during June–November and depletion during December–May. These findings demonstrate that GRACE and GRACE-FO observations provide an effective approach for monitoring regional terrestrial and groundwater storage changes, particularly in tropical regions with limited in-situ hydrological observations.
Mangrove Ecosystem Vulnerability through Integrated Remote Sensing: A Systematic Literature Review Rakhshanda Shaina Ahava Hidayat; Muhammad Iqbal Habibie; Ayang Armelita Rosalia
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 20 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v20i1.9866

Abstract

Mangrove ecosystems play a crucial role in maintaining the stability of coastal environments, but they face various pressures due to human activities and environmental changes that increase their vulnerability. This research aims to examine the development of remote sensing-based approaches in monitoring the condition, changes, and vulnerability of mangrove ecosystems, as well as to identify the main factors affecting their degradation. The method used is a Systematic Literature Review (SLR) with qualitative descriptive analysis of scientific publications related to mangrove monitoring using remote sensing technology. The study results show that remote sensing-based mangrove research has significantly increased, especially after 2010, along with the development of sensor technology, geographic information systems (GIS), and artificial intelligence methods. The main factors affecting the vulnerability of mangroves include anthropogenic pressures such as land conversion and pollution, environmental factors such as rising sea levels and hydrological changes, as well as biophysical factors related to the structure and condition of the vegetation. The integration of remote sensing, GIS, and spatial analysis has proven to enhance the effectiveness of monitoring and understanding the dynamics of mangrove ecosystem changes. Thus, an integrated geospatial approach becomes an important foundation in supporting the sustainable management and conservation of mangroves.

Page 16 of 16 | Total Record : 153

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