Handayani, Adyne Estri (2026) Analisis Tutupan Lahan Kota Surabaya Tahun 2022 dan 2024 Menggunakan ALOS PALSAR-2 dengan Metode SAR Polarimetrik. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia sebagai wilayah tropis sering mengalami kendala tutupan awan dan kabut asap yang membatasi pemanfaatan citra optik dalam pemantauan tutupan lahan. Penelitian ini memanfaatkan citra Synthetic Aperture Radar (SAR) ALOS PALSAR-2 L-band dual-polarization (HH/HV) untuk menganalisis mekanisme hamburan dan perubahan tutupan lahan di Kota Surabaya pada tahun 2022 dan 2024. Metode yang digunakan meliputi H/Alpha Dual-Pol Decomposition untuk memperoleh parameter entropy (H) dan sudut alpha (α), serta Unsupervised H/Alpha Wishart Dual-Pol Classification untuk mengelompokkan piksel ke dalam sembilan zona hamburan yang kemudian direklasifikasi menjadi empat kelas tutupan lahan, yaitu lahan terbangun, lahan terbuka, vegetasi, dan badan air. Hasil penelitian menunjukkan bahwa mekanisme hamburan di wilayah penelitian didominasi oleh surface scattering, terutama pada zona Bragg Surface (Z3) dan Random Surface (Z6). Kinerja klasifikasi tergolong baik, dengan nilai Overall Accuracy sebesar 84% pada tahun 2022 dan 83% pada tahun 2024, serta koefisien kappa masing-masing sebesar 0,787 dan 0,773. Perubahan tutupan lahan ditandai dengan peningkatan luas lahan terbangun dari 15.811,785 ha menjadi 18.091,350 ha, penurunan lahan terbuka dan vegetasi, serta peningkatan badan air dalam proporsi yang relatif kecil. Hasil ini menunjukkan adanya perkembangan kawasan perkotaan yang semakin meningkat di Kota Surabaya. Penelitian ini dapat menjadi alternatif pemetaan tutupan lahan berbasis SAR dual-polarization di wilayah tropis.
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As a tropical region, Indonesia often faces challenges related to cloud cover and haze, which limit the use of optical imagery for land cover monitoring. This study uses ALOS PALSAR-2 L-band dual-polarization (HH/HV) Synthetic Aperture Radar (SAR) imagery to analyze scattering mechanisms and land-cover changes in the city of Surabaya in 2022 and 2024. The methods employed include H/Alpha Dual-Pol Decomposition to obtain entropy (H) and alpha angle (α) parameters, as well as Unsupervised H/Alpha Wishart Dual-Pol Classification to group pixels into nine scattering zones, which are then reclassified into four land cover classes: built-up land, open land, vegetation, and water bodies. The results of the study indicate that the scattering mechanism in the study area is dominated by surface scattering, particularly in the Bragg surface zone (Z3) and random surface zone (Z6). The classification performance was relatively good, as indicated by overall accuracy of 84% in 2022 and 83% in 2024, with kappa coefficients of 0.787 and 0.773, respectively. Changes in land cover are characterized by an increase in built-up land area from 15,811.785 ha to 18,091.350 ha, a decrease in open land and vegetation, and a relatively small increase in water bodies. These results indicate the city of Surabaya's growing urban development. This study offers an alternative approach to dual-polarization SAR-based land cover mapping in tropical regions.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | ALOS PALSAR-2, H/Alpha Dual-Pol Decomposition, Synthetic Aperture Radar (SAR), Tutupan Lahan, Unsupervised H/Alpha Wishart Dual-Pol Classification, ALOS PALSAR-2, H/Alpha Dual-Pol Decomposition, Land Cover, Synthetic Aperture Radar (SAR), Unsupervised H/Alpha Wishart Dual-Pol Classification. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Adyne Estri Handayani |
| Date Deposited: | 25 Jun 2026 08:44 |
| Last Modified: | 25 Jun 2026 08:44 |
| URI: | http://repository.its.ac.id/id/eprint/134077 |
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