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All Journal Elipsoida : Jurnal Geodesi dan Geomatika International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Geosaintek
Ihsanudin, Taufiq
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Earth & Planetary Sciences Education

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SHORELINE CHANGES AFTER THE SUNDA STRAIT TSUNAMI ON THE COAST OF PANDEGLANG REGENCY, BANTEN Julianto, Fandi Dwi; Fathurohman, Cahya Rizki; Rahmawati, Salsabila Diyah; Ihsanudin, Taufiq
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 2 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3390

Abstract

The Sunda Strait tsunami occurred on the coast of west Banten and South Lampung at 22nd December 2018, resulting in 437 deaths, with10 victims missing. The disaster had various impacts on the environment and ecosystem, with this area suffering the greatest effects from the disaster. The utilisation of remote sensing technology enables the monitoring of coastal areas in an effective and low-cost manner. Shoreline extraction using the Google Earth Engine, which is an open-source platform that facilitates the processing of a large number of data quickly. This study used Landsat-8 Surface Reflectance Tier 1 data that was geometrically and radiometrically corrected, with processing using the Modification of Normalized Difference Water Index (MNDWI) algorithm. The results show that 30.1% of the coastline in Pandeglang Regency occurred suffered abrasion, 20.2% suffered accretion,while 40.7% saw no change. The maximum abrasion of 130.2 meters occurred in the village of Tanjung Jaya. Moreover, the maximum shoreline accretion was 43.3 meters in the village of Panimbang Jaya. The average shorelinechange in Pandeglang Regencywas 3.9 meters.
Penggunaan Action Camera Pada Spherical Photogrammetry Untuk Pemodelan Tiga Dimensi Hartadi, Joko; Ihsanudin, Taufiq; Alfiani, Oktavia Dewi; Apriyanti, Dessy
Jurnal Geosaintek Vol. 4 No. 3 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

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Abstract

Penggunaan action camera untuk pengumpulan data dapat diterapkan untuk pengambilan data spherical photogrammetry. Data foto diambil dengan memposisikan kamera pada salah satu titik exposure. Titik ini menjadi sumbu rotasi kamera saat melakukan pengambilan foto dengan sudut pandang 360°. Overlap kamera panoramik dibuat vertikal untuk mendapatkan foto stereo fasad candi yang akan dibuat model tiga dimensinya. Pembuatan foto panorama memerlukan beberapa foto dengan membuat bagian dari foto yang saling bertampalan (overlap). Kelebihan foto ini ialah dengan sekali berdiri alat dapat meliput sudut pandang 360° dalam arah horisontal dan 180° dalam arah vertikal. Permukaan objek yang dimodelkan dapat direpresentasikan dalam bentuk mesh. Mesh (dalam komunitas komputer grafik) diperoleh dari penggabungan titik-titik yang menghubungan setiap fitur yang sama menjadi jaring segitiga atau biasa disebut sebagai triangular irregular network (TIN) dalam fotogrametri. Hasil akhir dari rekonstruksi objek adalah model 3D yang memiliki tekstur
COMPARATIVE STUDY OF LAND SURFACE TEMPERATURE ON LANDSAT 8 AND HLS-L30 USING MONO WINDOW AND SPLIT WINDOW ALGORITHMS (CASE STUDY: WKP MOUNT UNGARAN) Nababan, Yolanda Stevany; Putri, Rizki Amara; Bashit, Nurhadi; Hadi, Firman; Ihsanudin, Taufiq
Elipsoida : Jurnal Geodesi dan Geomatika Vol 8, No 2 (2025): Volume 08 Issue 02 Year 2025
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2025.28716

Abstract

Advancements in remote sensing technology have enabled the use of satellite imagery, such as Landsat 8 and HLS-L30, for the spatial and temporal estimation of Land Surface Temperature (LST) with improved resolution. In the context of geothermal exploration, the availability of thermal infrared bands in these datasets facilitates more efficient and cost-effective mapping and identification of surface temperature anomalies, particularly across large and inaccessible areas. This study aims to compare LST estimations derived from Landsat 8 and HLS-L30 imagery using the Mono Window Algorithm (MWA) and Split Window Algorithm (SWA) at 18 geothermal manifestation points within the Mount Ungaran Geothermal Working Area (WKP). A Focal Statistic process was applied to 20 LST datasets, resulting in a total of 100 LST layers. From each layer, LST values were extracted at the 18 manifestation points, producing a total of 1,800 data points. A binary logistic regression analysis was conducted using these LST values alongside those from 20 randomly selected comparison points. The results indicate that the median LST derived from HLS-L30 imagery using the Split Window Algorithm with the minimum Focal Statistic yielded the most optimal performance in classifying geothermal manifestation presence. This method achieved statistical significance (p = 0.028), indicating its capability to effectively distinguish between manifestation and non-manifestation points. However, the pseudo-R² value of 0.107 suggests that the model explains approximately 11% of the variance in the data. These findings underscore the potential application of satellite-based LST analysis in the early detection and assessment of geothermal surface anomalies within WKPs.Keywords :  Geothermal, LST, Landsat, HLS-L30, Ungaran
Co-Authors Alfiani, Oktavia Dewi APRIYANTI, DESSY Bashit, Nurhadi Fandi Dwi Julianto Fathurohman, Cahya Rizki Hadi, Firman Joko Hartadi, Joko Nababan, Yolanda Stevany Putri, Rizki Amara Salsabila Diyah Rahmawati