Ekstraksi Precipitable Water Vapor (PWV) Dari MT-INSAR Menggunakan Data Sentinel-1 Dan ALOS PALSAR-2 Di Wilayah Palangkaraya

Maziya, Aulia Fithani (2026) Ekstraksi Precipitable Water Vapor (PWV) Dari MT-INSAR Menggunakan Data Sentinel-1 Dan ALOS PALSAR-2 Di Wilayah Palangkaraya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Precipitable Water Vapor (PWV) merupakan indikator penting dalam analisis dinamika troposfer dan potensi cuaca di wilayah tropis seperti Kota Palangkaraya yang memiliki tutupan lahan beragam serta kawasan gambut yang luas. Penelitian ini bertujuan mengekstraksi dan menganalisis distribusi spasial serta temporal PWV menggunakan metode Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) berbasis citra Sentinel-1 (C-band) dan ALOS PALSAR-2 (L-band) pada periode 2021–2022. Pengolahan data dilakukan melalui pemisahan komponen fase atmosfer, konversi fase interferometri menjadi Zenith Wet Delay (ZWD), pembentukan Short Wavelength Delay (SWD), Long Wavelength Delay (LWD), dan Elevation Dependent Delay (EDD), serta integrasi dengan data Global Navigation Satellite System (GNSS) untuk memperoleh PWV absolut. Data ERA5, DEM SRTM, dan CHIRPS digunakan sebagai data pendukung. Hasil penelitian menunjukkan bahwa metode MT-InSAR berhasil merekonstruksi variasi temporal PWV yang relatif konsisten dengan data GNSS. Nilai PWV Sentinel-1 berada pada kisaran 51,19-68,25 mm, sedangkan ALOS PALSAR-2 berada pada kisaran 49,01-65,43 mm, dengan data GNSS sebagai acuan berada pada kisaran 52,48-69,99 mm. Validasi terhadap GNSS menunjukkan bahwa estimasi PWV dari kedua sensor memiliki kesesuaian yang baik, dengan selisih berkisar 0,015-11,500 mm untuk Sentinel-1 dan 0,373-11,849 mm untuk ALOS PALSAR-2. Analisis korelasi menunjukkan adanya hubungan positif, namun lemah, antara Precipitable Water Vapor (PWV) dan curah hujan CHIRPS, dengan koefisien korelasi sebesar 0,1412 untuk data Sentinel-1 dan 0,2718 untuk data ALOS PALSAR-2. Temuan ini menunjukkan bahwa metode Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) memiliki potensi untuk digunakan dalam pemantauan uap air atmosfer secara spasial dan temporal di wilayah tropis.
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Precipitable Water Vapor (PWV) is an important indicator for analyzing tropospheric dynamics and weather potential in tropical regions such as Palangkaraya City, which is characterized by diverse land cover and extensive peatland areas. This study aims to extract and analyze the spatial and temporal distribution of PWV using the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) method based on Sentinel-1 (C-band) and ALOS PALSAR-2 (L-band) imagery during the 2021–2022 period. Data processing was carried out through atmospheric phase separation, conversion of interferometric phase into Zenith Wet Delay (ZWD), generation of Short Wavelength Delay (SWD), Long Wavelength Delay (LWD), and Elevation Dependent Delay (EDD), and integration with Global Navigation Satellite System (GNSS) data to obtain absolute PWV. ERA5, SRTM DEM, and CHIRPS datasets were used as supporting data. The results show that the MT-InSAR method successfully reconstructed temporal PWV variations that were relatively consistent with GNSS observations. The Sentinel-1-derived PWV values ranged from 51,19-68,25 mm, while the ALOS PALSAR-2 derived PWV values ranged from 49,01-65,43 mm. The GNSS-derived PWV, used as the reference dataset, ranged from 52,48-69,99 mm. Validation against the GNSS observations demonstrated good agreement for both InSAR-derived PWV estimates, with differences ranging from 0,015 to 11,500 mm for Sentinel-1 and from 0,373 to 11,849 mm for ALOS PALSAR-2. Correlation analysis revealed a positive but weak relationship between PWV and CHIRPS rainfall, with correlation coefficients of 0,1412 for Sentinel-1 and 0,2718 for ALOS PALSAR-2. These findings demonstrate the potential of MT-InSAR for spatial and temporal monitoring of atmospheric water vapor in tropical regions.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Precipitable Water Vapor, Precipitable Water Vapor, Multi Temporal InSAR , Multi Temporal InSAR, Sentinel-1, Sentinel-1, ALOS PALSAR-2, ALOS PALSAR-2, ZWD, ZWD, Palangkaraya, Palangkaraya
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Aulia Fithani Maziya
Date Deposited:	24 Jul 2026 02:03
Last Modified:	24 Jul 2026 02:03
URI:	http://repository.its.ac.id/id/eprint/136710

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