Sihombing, Margareta Moeleate (2025) Analisis Sebaran Awan Konvektif Menggunakan Data Suhu Kecerahan Satelit Himawari-8 Di Wilayah Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 5002211126-undergraduate_thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
5002211126-undergraduate_thesis.pdf - Accepted Version Restricted to Repository staff only Download (8MB) | Request a copy |
Abstract
Wilayah perkotaan tropis seperti Surabaya sering mengalami hujan lebat yang dipicu oleh pertumbuhan awan konvektif. Pemantauan dan analisis awan konvektif sangat penting dalam mendukung sistem peringatan dini cuaca ekstrem. Penelitian ini dilakukan untuk menganalisis sebaran spasial awan konvektif di wilayah Surabaya dengan memanfaatkan data suhu kecerahan dari satelit Himawari-8. Metode yang digunakan melibatkan pendekatan ambang batas suhu kecerahan absolut pada kanal inframerah Band 13, dikombinasikan dengan metode Cloud Convective Overlays (CCO) untuk segmentasi spasial. Hasil dari kedua metode tersebut disatukan melalui logika irisan spasial untuk meningkatkan selektivitas dalam mendeteksi awan konvektif aktif. Analisis spasial dilakukan melalui pemetaan evolusi awan konvektif per waktu, pemetaan kepadatan kejadian menggunakan Kernel Density Estimation (KDE), serta estimasi luasan area terdampak. Hasil penelitian menunjukkan bahwa metode gabungan suhu kecerahan dan CCO mampu mengidentifikasi awan konvektif secara konsisten pada waktu dan wilayah tertentu di Surabaya. Aktivitas konvektif terpantau dominan terjadi di wilayah barat dan selatan kota, terutama pada siang hingga sore hari. Penerapan ambang suhu kecerahan terbukti efektif dalam mengungkap pola spasial konveksi atmosfer di wilayah tropis. Penelitian ini diharapkan dapat menjadi dasar bagi pengembangan sistem pemantauan cuaca berbasis satelit secara operasional.
==================================================================================================================================
Tropical urban areas such as Surabaya often experience heavy rainfall triggered by the growth of convective clouds. Monitoring and analyzing convective clouds is crucial in supporting early warning systems for extreme weather. This study was conducted to analyze the spatial distribution of convective clouds in the Surabaya area using brightness temperature data from the Himawari-8 satellite. The method used involves an absolute brightness temperature threshold approach on the infrared Band 13 channel, combined with the Cloud Convective Overlays (CCO) method for spatial segmentation. The results of both methods are combined through spatial intersection logic to improve selectivity in detecting active convective clouds. Spatial analysis was conducted through mapping the evolution of convective clouds over time, mapping event density using Kernel Density Estimation (KDE), and estimating the affected area. The results of the study show that the combined brightness temperature and CCO methods are able to consistently identify convective clouds at specific times and locations in Surabaya. Convective activity was predominantly observed in the western and southern parts of the city, particularly during the afternoon and early evening. The application of brightness temperature thresholds proved effective in revealing the spatial patterns of atmospheric convection in tropical regions. This study is expected to serve as a foundation for the development of operational satellite-based weather monitoring systems.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | awan Konvektif, suhu kecerahan, deteksi awan, Surabaya, convective clouds, brightness temperature, detection, Surabaya |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. Q Science Q Science > QA Mathematics Q Science > QA Mathematics > QA76.6 Computer programming. |
| Divisions: | Faculty of Mathematics and Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | Margareta Moeleate Sihombing |
| Date Deposited: | 01 Aug 2025 05:53 |
| Last Modified: | 01 Aug 2025 05:54 |
| URI: | http://repository.its.ac.id/id/eprint/125848 |
Actions (login required)
 |
View Item |