Time series SAR interferometry approach for landslide identification in mountainous areas of Western Ghats, India

Devaraj, Suresh; Yarrakula, Kiran; Martha, Tapas R.; Murugesan, Geetha Priya; Vaka, Divya Sekhar; Surampudi, Samvedya; Wadhwa, Abhinav; Loganathan, Parthiban; Budamala, Venkatesh

doi:10.1007/s12040-022-01876-3

Cited by 10 publications

(2 citation statements)

References 26 publications

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“…Selain itu terdapat dekorelasi temporal menyebabkan penurunan nilai koherensi yang merupakan salah satu pembatas dalam memperoleh jumlah maksimum interferogram, nilai koherensi pada C-band secara signifikan lebih rendah di area vegetasi daripada di area terbangun. Hal ini dikarenakan sinyal Cband mungkin tidak dapat menembus kanopi, oleh karena itu terdapat dekorrelasi temporal yang kuat pada tipe PL dengan vegetasi (Arslan et al, 2022;Devaraj et al, 2022;Fárová et al, 2019;Umarhadi et al, 2022) (Fárová et al, 2019, Umarhadi et al, 2021Devaraj et al, 2022;Arslan et al, 2022,). Bagian barat kota Padang yang merupakan didominasi area terbangun memiliki hasil terbaik di mana reflektor buatan manusia lebih banyak di bagian barat Kota Padang seperti bangunan permukiman.…”

Section: Hasilunclassified

Memperkirakan Penurunan Tanah Menggunakan Data Sentinel 1 Sar Diberbagai Tipe Penggunaan Lahan Di Kota Padang

Antomi¹,

Fajrin²

2022

j. sains. teknologi.

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Dalam beberapa tahun terakhir, kerugian besar akibat penurunan tanah di daerah perkotaan semakin menarik perhatian. Evaluasi yang tepat dari pola spasial tingkat penurunan tanah di Kota Padang adalah kunci untuk memahami dampak potensialnya terhadap turunnya permukaan tanah dan keberlanjutan jangka panjang wilayah Kota Padang. Dalam studi ini, penurunan tanah yang terjadi selama periode waktu 2018 - 2019 diukur menggunakan Citra Sentinel 1 SAR untuk memahami apakah terjadi subsidensi. Nilai penurunan tanah pada setiap piksel dihasilkan dari pengolahan data Sentinel 1 SAR yang selanjutnya diklasifikasikan menurut kelas penggunaan/penutup lahan di wilayah studi. Peta penggunaan/penutup lahan dihasilkan dari ektraksi citra satelit Landsat 8 OLI/TIRs. Hasilnya perbandingan antara pola penurunan tanah menggunakan Sentinel 1 SAR dan kelas penggunaan lahan yang berbeda di Kota Padang menunjukkan bahwa tidak ada hubungan yang jelas di antara keduanya. Hal ini menunjukkan bahwa fenomena penurunan tanah terjadi pada skala lokal atau terlokalisasi di wilayah ini.

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Section: Hasilunclassified

Memperkirakan Penurunan Tanah Menggunakan Data Sentinel 1 Sar Diberbagai Tipe Penggunaan Lahan Di Kota Padang

Antomi¹,

Fajrin²

2022

j. sains. teknologi.

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“…Notwithstanding, InSAR's efficacy is moderated by temporal, spatial, and atmospheric considerations, and its application is confined to regions characterized by sparse vegetation (Devaraj et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Hydrological Influences on Landslide Dynamics in the Three Gorges Reservoir Area: An SBAS-InSAR Study in Yunyang County, Chongqing

Cui,

Tao,

Kou

et al. 2024

Preprint

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Landslide hazards pose a significant threat to lives and infrastructure, especially in mountainous regions like the Three Gorges Reservoir area. While the mechanisms driving landslide initiation and progression in reservoir environments are not fully understood. This study aimed to leverage the capabilities of Sentinel-1 satellite imagery and the Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique to detect and monitor potential landslide deformations in Yunyang County, Chongqing, China. We utilized Sentinel-1 data acquired between January 1, 2020, and December 28, 2022, to generate deformation velocity maps. Twelve potential landslides were identified, primarily concentrated near residential areas and along the Yangtze River. Precipitation emerged as the primary driver of surface deformation and landslide initiation, with potential landslides in residential vicinities and along the river exhibiting significantly higher deformation rates during the wet season compared to the dry season. These sites are susceptible to slope failures and geological disasters upon reaching critical antecedent rainfall thresholds, highlighting the necessity for continuous monitoring. Other potential landslides maintained consistent deformation rates across seasons but experienced brief accelerations following heavy precipitation events. Notably, potential landslides adjacent to the Yangtze River experienced accelerated deformation during periods of significant river water level reductions, suggesting that the river's cyclical water level fluctuations influence slope stability. The study demonstrated the effectiveness of SBAS-InSAR in detecting millimetric deformations in incipient landslides, a crucial step in averting landslide disasters and ensuring public safety.

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Landslide Detection Using DInSAR Technique: A Case Study

Sharma,

Kumar,

Nandakishore

2024

Advances in Natural and Technological Hazards Research

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Time series SAR interferometry approach for landslide identification in mountainous areas of Western Ghats, India

Cited by 10 publications

References 26 publications

Memperkirakan Penurunan Tanah Menggunakan Data Sentinel 1 Sar Diberbagai Tipe Penggunaan Lahan Di Kota Padang

Memperkirakan Penurunan Tanah Menggunakan Data Sentinel 1 Sar Diberbagai Tipe Penggunaan Lahan Di Kota Padang

Hydrological Influences on Landslide Dynamics in the Three Gorges Reservoir Area: An SBAS-InSAR Study in Yunyang County, Chongqing

Landslide Detection Using DInSAR Technique: A Case Study

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