Zamzami, Maulana Khoir (2026) Analisis Tren Suhu Permukaan (2017–2025) Dengan Perbandingan Musim Menggunakan Data Land Surface Temperature Sentinel-3 (Studi Kasus: Kota Surabaya). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini menganalisis tren suhu permukaan (Land Surface Temperature/LST) di Kota Surabaya selama periode 2017–2025 menggunakan data suhu udara Badan Pusat Statistik (BPS) periode 2017–2025 dan citra Sentinel-3 SLSTR Level 2 LST dari portal Copernicus periode 2018–2025. Analisis dilakukan menggunakan uji Mann-Kendall untuk mendeteksi keberadaan tren dan estimator Sen’s Slope untuk mengukur laju perubahan suhu berdasarkan musim kemarau dan musim hujan sesuai klasifikasi Dasarian BMKG. Selain analisis statistik, penelitian ini menghasilkan 16 peta distribusi spasial LST serta dua peta komposit rata-rata musiman yang diolah menggunakan SNAP dan ArcMap. Hasil analisis data BPS menunjukkan tidak terdapat tren yang signifikan pada kedua musim, dengan kecenderungan penurunan sebesar -0,094°C/tahun pada musim kemarau dan -0,150°C/tahun pada musim hujan. Hasil analisis data Copernicus menunjukkan kecenderungan peningkatan suhu pada musim kemarau dengan Sen’s Slope sebesar +1,1564°C/tahun dan p-value 0,0635, sedangkan musim hujan menunjukkan kecenderungan penurunan tipis dengan Sen’s Slope sebesar -0,1088°C/tahun dan p-value 1,000. Meskipun demikian, kedua musim belum menunjukkan tren yang signifikan secara statistik pada taraf kepercayaan 95%. Secara spasial, suhu permukaan yang lebih tinggi umumnya terkonsentrasi pada kawasan terbangun padat Kota Surabaya. Hasil penelitian ini menunjukkan bahwa data BPS dan Sentinel-3 SLSTR memiliki rentang waktu pengamatan yang singkat untuk menegaskan tren jangka panjang secara statistik, namun mampu memberikan gambaran mengenai dinamika suhu permukaan musiman di Kota Surabaya.
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This study analyzes trends in Land Surface Temperature (LST) in the city of Surabaya during the 2017–2025 period using air temperature data from the Central Statistics Agency (BPS) for 2017–2025 and Sentinel-3 SLSTR Level 2 LST imagery from the Copernicus portal for 2018–2025. The analysis was conducted using the Mann-Kendall test to detect the presence of trends and Sen’s Slope estimator to measure the rate of temperature change based on the dry and rainy seasons according to the BMKG Dasarian classification. In addition to statistical analysis, this study produced 16 LST spatial distribution maps as well as two composite seasonal average maps processed using SNAP and ArcMap. The results of the BPS data analysis showed no significant trends in either season, with a downward trend of -0.094°C/year during the dry season and -0.150°C/year during the rainy season. Analysis of Copernicus data revealed a warming trend during the dry season with a Sen’s Slope of +1.1564°C/year and a p-value of 0.0635, while the rainy season showed a slight cooling trend with a Sen’s Slope of -0.1088°C/year and a p-value of 1.000. However, neither season has shown a statistically significant trend at the 95% confidence level. Spatially, higher surface temperatures are generally concentrated in the densely built-up areas of Surabaya. The results of this study indicate that the BPS and Sentinel-3 SLSTR data have a short observation period to statistically confirm long-term trends but can provide an overview of seasonal surface temperature dynamics in the city of Surabaya.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Kata kunci: Suhu permukaan, Tren suhu, Sentinel-3, Surabaya, Mann-Kendall, Sen’s Slope. Keywords: Surface temperature, Temperature trends, Sentinel-3, Surabaya, Mann-Kendall, Sen’s Slope. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Maulana Khoir Zamzami |
| Date Deposited: | 27 Jul 2026 01:55 |
| Last Modified: | 27 Jul 2026 01:55 |
| URI: | http://repository.its.ac.id/id/eprint/137393 |
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