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All Journal Cyberspace: Jurnal Pendidikan Teknologi Informasi Jurnal Jeumpa J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) Infolitika Journal of Data Science The Indonesian Journal of Computer Science
Nazhifah, Sri Azizah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Other

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FUSING SATELLITE DATA TO MONITOR SEA LEVEL CHANGES: A DEM-BASED NEAREST NEIGHBOR APPROACH Putri, Andriani; Nazhifah, Sri Azizah; Ridho, Abdurrahman; Maghfirah, Hayatun; Mutia, Cut; Niani, Cukri Rahmi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 8 No 2 (2024)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v8i2.26369

Abstract

High spatial and temporal resolution satellite imagery is essential for monitoring rapid environmental changes at finer scales. However, no single satellite currently provides images with both high spatial and temporal resolution. To overcome this limitation, spatiotemporal image fusion algorithms have been developed to generate images with improved spatial and temporal detail. Water level monitoring is also crucial for managing natural hazards like floods and tsunamis, but remote sensing satellites face challenges in continuous monitoring due to either low spatial or temporal resolution. For instance, while Landsat 8, with a spatial resolution of 30 meters, has been used for water level detection, it cannot capture fast-changing events because of its low temporal resolution. Conversely, the Advanced Himawari Imager (AHI) 8 offers observations every 10 minutes but has a coarse spatial resolution, limiting its ability to map sea level changes accurately. This study focuses on integrating Landsat and AHI imagery to monitor local and dynamic sea level changes. The process involves calibrating images from the study area to surface reflectance and co-registering them. The Normalized Difference Water Index (NDWI) is calculated from both Landsat and Himawari-8 images, serving as input for image fusion. In the previous study, the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) is used for image fusion. In this study we use the application of Spatial Temporal Adaptive Algorithm for Mapping Reflectance Change (STAARCH) for the image fusion step. Since traditional methods are influenced by land cover changes, this study proposes a method called DEM-based Nearest Neighbor to select appropriate land cover maps for image fusion. Evaluation results demonstrate that this approach can produce accurate water coverage maps with both high spatial and temporal resolution.
ANALYSIS OF LAND SURFACE TEMPERATURE IN THE KRUENG ACEH WATERSHED USING GOOGLE EARTH ENGINE Khairunnisa, Yulia; Nazhifah, Sri Azizah; Amiren, Muslim; Syahreza, Saumi; Rusdi, Muhammad; Saputra, Kurnia; Putri, Andriani; Sukiakhy, Kikye Martiwi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 9 No 1 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v9i1.29076

Abstract

The constantly changing land surface temperature has implications for agricultural productivity and human health, therefore it is important to observe the land surface temperature to provide information about the characteristics and patterns of a region. The purpose of this research is to determine the changes and spatial patterns of land surface temperature distribution in the Krueng Aceh Watershed in 2013, 2018, and 2023. The method employed in this study involves utilizing the Google Earth Engine platform and MODIS imagery. Land surface temperature data from MODIS imagery is processed using JavaScript programming language, and the results are analyzed to obtain the distribution of land surface temperature. The study results indicate that the land surface temperature in the Krueng Aceh Watershed was 29,11℃ in 2013, increase to 29,5℃ in 2018, and then decreased to 29,19℃ in 2023. The Krueng Aceh Watershed in 2013, 2018, and 2023 exhibits similar spatial patterns and distributions of land surface temperature, with areas in Banda Aceh City experiencing higher temperatures compared to those in Aceh Besar District, which exhibit varying temperatures.
Co-Authors . Zulfan Abdurrahman Ridho Amiren, Muslim Bagestra, Ricky Basri, Fazil Cut Mutia, Cut Diah, Husna Farsiah, Laina Hayatun Maghfirah Kiftiyani, Usfita Maghfirah, Hayatun Maulyanda Mawaddah, Jihan Misbullah, Alim Muhammad Rusdi Muslim Muslim MUSLIM MUSLIM Muzaillin, Muzaillin Niani, Cukri Rahmi Nir Fathiya Nizamuddin Putri, Andriani Putri, Andrini Qariza, Maulin Hayatun Rasudin, Rasudin Ridho, Abdurrahman SAFIRA Sanusi Sanusi Saputra, Kurnia Saumi Syahreza sukiakhy, kikye martiwi Yulia Khairunnisa, Yulia