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All Journal Indonesian Journal of Geography Journal of Degraded and Mining Lands Management Forum Geografi Journal of Geoscience, Engineering, Environment, and Technology GeoEco
Perdana, Redho Surya
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Engineering Environmental Science Physics Social Sciences

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 1 
Comparative Assessment on the Use of Videogrammetry and Photogrammetry for Rapid and Low-Cost Three-Dimensional Modeling Nuha, Muhammad Ulin; Pramudya, Alif Farhan; Laia, Bonifasius Efraim; Husain, Rainaldy; Setiaji, Danang; Isnaini, Een Lujainatul; Perdana, Redho Surya; Atmojo, Aulia Try; Jatmiko, Retnadi Heru
Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.87960

Abstract

The current activities in photogrammetry technology such as the permission to apply non-metric cameras, development of Structure from Motion (SfM), and potential usage of videogrammetry are part of the answers to the need for low-cost camera-based mapping. Therefore, this study aimed to test and compare the accuracy of photogrammetry and videogrammetry methods for three-dimensional (3D) modeling obtained using a non-metric camera with SfM processing. Terrestrial Laser Scanner (TLS) was used to obtain comparative data and the results showed a degradation of photo resolution in videogrammetry method, causing a reduction in the number of point clouds produced compared to photogrammetry. Moreover, the point cloud test showed that the surface variation results for both methods were identical to 3D modeling with a higher point density recorded in photogrammetry and the relative distance was different by 0.125 meters. The average difference in point cloud between photogrammetry and TLS was 0.062 meters while videogrammetry and TLS had 0.106 meters. The absolute test produced an RMSE value of 0.022 meters for photogrammetry and 0.032 meters for videogrammetry at a 95% confidence interval, indicating the two methods produced similar data quality. The results led to the conclusion that videogrammetry had satisfactory values and could be used as an alternative in 3D modeling but was not considered better than photogrammetry. Received: 2023-08-13 Revised: 2024-05-27   Accepted: 2024-09-20 Published: 2024-10-10
Analysis Of Presumed Land Subsidence In The Cities Of Lampung Province Using InSAR And GNSS Data Alif, Satrio Muhammad; Anggara, Ongky; Perdana, Redho Surya; Hasannah, Uswatun; Azizah, Fadhillah Nur
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.3.14096

Abstract

Land subsidence is a naturally occurring phenomenon that has become a growing concern in various regions, including Lampung Province. In this study, we investigate land subsidence in various cities within Lampung Province, Indonesia, utilizing Sentinel-1A using Sentinel-1A satellite image data from the period 2014 to 2022. The cities of Lampung Province analyzed in this study were Liwa, Kota Agung, Kalianda, Sukadana, Bandar Lampung and Krui. The method used is Interferometric Synthetic Aperture Radar (InSAR) with the Small Baseline Area Subset (SBAS) technique. Furthermore, to validate and improve the accuracy of land subsidence measurements, the Global Navigation Satellite System (GNSS) velocities were utilized. The land subsidence result obtained in this study is presumed land subsidence. The cities that experienced land subsidence was Kalianda, Sukadana, Bandar Lampung and Krui ranging from ~3 mm/yr to ~15 mm/yr. Meanwhile, the areas that experienced an uplift were the Liwa and Kota Agung cities.
Assessing land subsidence from anthropogenic activity in Northern Sumatra, Indonesia revealed using SAR interferometry Perdana, Redho Surya; Anggara, Ongky; Suhadha, Argo Galih; Pangestika, Dita Mulia; Atmojo, Aulia Try; Al Attar, Muhammad Nabil; Sonya, Putri; Alif, Satrio Muhammad
Journal of Degraded and Mining Lands Management Vol. 12 No. 2 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.122.7235

Abstract

Land subsidence is a significant issue in urban areas globally, including several cities with a growing population in Northern Sumatra, Indonesia. This study employs Sentinel-1 SAR data and the Small Baseline Subset (SBAS) InSAR technique to monitor land subsidence in Medan, Deli Serdang, Dumai, North Aceh, and Lhokseumawe from 2015 to 2023. The SBAS algorithm was implemented in LiCSBAS with an unwrapped interferogram. Then corrected for atmospheric effects using GACOS, was employed to increase the results of the land subsidence. The analysis was enhanced using GRACE satellite data to assess the impact of groundwater depletion on subsidence. Results indicate significant subsidence across all study regions, particularly in Medan and Dumai, with rates ranging from -48.6 mm/year to +54.1 mm/year. The findings highlight the critical role of rapid urbanization, excessive groundwater extraction, and oil and gas exploration in driving subsidence. This study underscores the need for sustainable urban planning and aquifer management to mitigate future environmental and infrastructural risks.
Monitoring Biochemical Oxygen Demand (BOD) Changes During a Massive Fish Kill Using Multitemporal Landsat-8 Satellite Images in Maninjau Lake, Indonesia Rohman, Arif; Fauzi, Adam Irwansyah; Ardani, Nesya Hafiza; Nuha, Muhammad Ulin; Perdana, Redho Surya; Nurtyawan, Rian; Lotfata, Aynaz
Forum Geografi Vol 37, No 1 (2023): July 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v37i1.21307

Abstract

Maninjau Lake is one of Indonesia's lakes for hydroelectric power plants, tourism, and fish farming activities. Some activities around the lake cause pollution, leading to massive fish kill. Therefore, it is necessary to monitor water quality regularly. One of the critical water quality parameters is biochemical oxygen demand (BOD). This study aimed to analyze BOD changes using a remote sensing approach during massive fish kills in Maninjau Lake, Indonesia. Multi-temporal Landsat-8 satellite images are processed to estimate the BOD level based on Wang Algorithm. After that, the estimated BOD value is validated using in situ data measurement. The results of the average BOD concentration that occurred in Lake Maninjau was 1.85 mg/L and showed that R2 was 0.8334, and the standard error was 0.076 between the estimated BOD and in situ data. Furthermore, the average concentration of BOD obtained on 23rd August 2017, 13th December 2017, 30th January 2018, 19th March 2018, and 7th July 2018 are 4.96 mg/L, 4.82 mg/L, 5.31 mg/L, 6.94 mg/L, and 6.60 mg/L, respectively. Increased BOD concentration in January 2018 indicates moderate pollution in the waters. BOD concentration increases after the massive fish kill due to the decaying fish across the lake.
DETERMINING THE LOCATION OF LAND SUBSIDENCE OBSERVATION POINTS BASED ON LITHOLOGICAL DATA AND LAND COVER CHANGES IN LAMPUNG PROVINCE Perdana, Redho Surya; Fikri, Muhammad; Alif, Satrio Muhammad; Isnaini, Een Lujainatul; Fauzi, Adam Irwansyah
GeoEco Vol 8, No 2 (2022): GeoEco July 2022
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v8i2.50412

Abstract

Land subsidence is a phenomenon that always occurs due to natural factors as well as human actions. Land subsidence has an even impact on all fronts. Land subsidence occurs continuously, therefore it is necessary to observe the phenomenon of land subsidence periodically using the GNSS method, which requires a benchmark that serves as a reference point for observation. With the need for a new benchmark devoted to observing land subsidence, it is necessary to do spatial modeling which is useful for finding out the suitability of the location where the subsidence observation point will be made. Spatial modeling was carried out using land cover data and lithology type to then be given weight and score and determined the soil movement vulnerability class into three, namely low class, medium class, and high class. The results of the spatial modeling of subsidence vulnerability show that the area12292.60 square kilometers is low grade, 20230.64 square kilometers represents medium class and 540.32 square kilometers is high class. Based on these results, the planning of the location of new observation points was carried out in areas with moderate to high levels of vulnerability with a total of 87 points scattered throughout the cities in Lampung.
Co-Authors Al Attar, Muhammad Nabil Ardani, Nesya Hafiza Arif Rohman Atmojo, Aulia Try Azizah, Fadhillah Nur Fauzi, Adam Irwansyah Husain, Rainaldy Isnaini, Een Lujainatul Laia, Bonifasius Efraim Lotfata, Aynaz Muhammad Fikri Muhammad Ulin Nuha MUHAMMAD ULIN NUHA Ongky Anggara Pangestika, Dita Mulia Pramudya, Alif Farhan Retnadi Heru Jatmiko Rian Nurtyawan Satrio Muhammad Alif Setiaji, Danang Sonya, Putri Suhadha, Argo Galih