شناسایی و پهنه‌بندی حرکات پیوسته مواد دامنه‌ای با استفاده از تصاویر راداری سنتینل-1 و ارتباط آن با کاربری اراضی ، مطالعه موردی: گردنه صلوات آباد استان کردستان.

نوع مقاله : پژوهشی

نویسندگان

1 دانشجویی دکتری تخصصی ژئومورفولوژی، گروه جغرافیای طبیعی، دانشکده برنامه‌ریزی و علوم محیطی، دانشگاه تبریز، تبریز، ایران

2 ، استاد ژئومورفولوژی،گروه جغرافیایی طبیعی،دانشکده برنامه‌ریزی و علوم محیطی،دانشگاه تبریز،تبریز،ایران

3 دانشجویی دکتری ژئومورفولوژی، گروه جغرافیای طبیعی، دانشکده برنامه‌ریزی و علوم محیطی، دانشگاه تبریز، تبریز، ایران

چکیده

لغزش‌های دامنه‌ای تحت تأثیر عوامل درونی، بیرونی (اقلیم) و فعالیت‌های انسانی قرار دارند. گردنه صلوات‌آباد، در شرق سنندج و مسیر ارتباطی سنندج–همدان، یکی از مناطق آسیب‌پذیر با لغزش‌های مکرر سالانه است که به دلیل عبور محور اصلی، ساخت‌وساز، باغداری و جاده‌سازی، این مخاطرات تشدید شده‌اند. این پژوهش با هدف شناسایی، اندازه‌گیری و پهنه‌بندی حرکات دامنه‌ای، از تداخل‌سنجی راداری و تحلیل کاربری اراضی بهره برده است. برای بررسی پوشش گیاهی، شاخص NDVI از 8 تصویر سنتینل-2 استخراج و تاریخ مناسب تصاویر راداری انتخاب شد. همچنین، با پردازش 4 تصویر سنتینل-1 طی دوره 2020 تا 2023 در نرم‌افزار SNAP، جابه‌جایی‌های سطحی بررسی شد. نقشه کاربری اراضی با استفاده از تصویر لندست-8 (2023) و روش طبقه‌بندی نظارت‌شده در ArcGIS به شش کلاس تقسیم شد. نتایج نشان داد که منطقه سالانه 2.4 سانتی‌متر جابه‌جایی و در مجموع 9.5 سانتی‌متر تغییرات دامنه‌ای را تجربه کرده است. در تحلیل پهنه‌بندی، 14.45 درصد مساحت منطقه در طبقه خطر زیاد و 29.33 درصد در طبقه متوسط قرار گرفت. کاربری جاده به سه قطعه تفکیک شد که قطعات اول (6.59 کیلومتر) و دوم (6.6 کیلومتر) به‌ترتیب در طبقات زیاد و متوسط جای گرفتند. در نهایت، 18 پهنه ناپایدار در امتداد جاده شناسایی شد که 16 مورد عمدتاً در کاربری مرتع و بایر قرار داشتند. بیشترین جابه‌جایی در دامنه‌های با جهات شمال، شمال غربی، جنوب و غرب مشاهده شد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Identification and Mapping of Continuous Landslide Material Movements Using Sentinel-1 Radar Images and Their Relationship with Land Use: Case Study of Sala vat Abad Pass, Kurdistan Province.

نویسندگان [English]

  • farhad khodamoradi 1
  • Shahram Roostaei 2
  • Ali Zareiyan 3
1 Ph.D. student in Geomorphology, Faculty of Environmental Sciences Planning, Tabriz University ,Tabriz .Iran
2 ، . Shahram Roostei- Professor of Department of Geomorphology, Faculty of Environmental Sciences Planning, Tabriz University, Tabriz. Iran
3 Ph.D. Ali Zareian - Ph.D. student in Geomorphology, Faculty of Planning and Environmental Sciences, Tabriz University. Tabriz, Iran. Email:Ali.Zareiyan1210@gmail.com
چکیده [English]

 
The mechanisms of landslide occurrence are influenced not only by internal and external (climatic) factors but also by anthropogenic activities. The study area, Salavatabad Pass, is located in the east of Sanandaj County, Kurdistan Province, along the Sanandaj–Hamadan transportation route. This area is highly vulnerable to frequent landslides each year. The passage of the main Sanandaj–Hamadan road and human activities, such as unregulated construction, gardening, and road construction, have exacerbated these hazards. The present study aims to identify, measure, and classify the continuous mass movements using radar interferometry and examine their relationship with land use patterns. To assess vegetation cover dynamics, eight Sentinel-2 images were utilized to derive the Normalized Difference Vegetation Index (NDVI), which helped determine the appropriate dates for acquiring radar images. Subsequently, eight Sentinel-1 radar images from a four-year period (2016/08/20 – 2023/05/09) were processed using interferometric analysis in SNAP software. Additionally, a Landsat-8 image (2023) was used for land use classification. After applying atmospheric and radiometric corrections, a supervised classification (Maximum Likelihood Classification) was performed in ArcGIS, categorizing land use into six classes. The interferometric results revealed an annual displacement of 1.2 cm, totaling 9.5 cm over the study period. The hazard zoning indicated that 20% of the area, primarily classified as bare land and rangeland, fell into the high-risk category, while 40%, with land uses including rangeland, barren land, roads, and agricultural areas, was classified as moderate risk. The road network was separately analyzed and divided into four segments, where the first segment (900 m long) was classified as high risk, and the second segment (6.6 km long) fell into the moderate-risk category. Ultimately, 14 unstable zones were identified along the road corridor. Among them, zones 1, 2, 7, and 8 exhibited the highest displacement (-4.6 to -2 cm), while zone 12 showed the least movement (-2 to -0.6 cm). The results further indicated that slopes facing north, northwest, south, and west experienced the most significant displacements.

کلیدواژه‌ها [English]

  • Landslide
  • radar interferometry
  • Salavat Abad zoning
Afshari, A., Ghahroudi Tali, M., Sadough, H., & Ehteshami Moin abadi, M. (2020). Assessment slope instability around Lorestan railway by using differential synthetic aperture radar interferometry (DInSAR). Quantitative Geomorphological Research, 8(3), 183-202.
Ahmadzadeh, H., Roostai, S., Nikjo, M., & Dehghani, M. (2018). Estimating the area and volume of the landslide mass using InSAR techniques and GPS observations (case study of the landslide zone of Gogurd village). Quantitative Geomorphology Research, 4(2), 18-28.
Alcántara-Ayala, I. (2002). Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries. Geomorphology, 47(2-4), 107-124.
Barra, A., Monserrat, O., Crosetto, M., Cuevas-Gonzalez, M., Devanthéry, N., Luzi, G., & Crippa, B. (2017). Sentinel-1 data analysis for landslide detection and mapping: first experiences in Italy and Spain. In Advancing Culture of Living with Landslides: Volume 3 Advances in Landslide Technology (pp. 201-208). Springer International Publishing.
Berardino, P., Fornaro, G., Lanari, R., & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans. Geosci. Remote Sens., 40(11), 2375-2383.
Bordoni, M., Bonì, R., Colombo, A., Lanteri, L., & Meisina, C. (2018). A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations. Catena, 163, 89-110.
Bovenga, F., Wasowski, J., Nitti, D. O., Nutricato, R., & Chiaradia, M. T. (2012). Using COSMO/SkyMed X-band and ENVISAT C-band SAR interferometry for landslides analysis. Remote Sens. Environ., 119, 272-285.
Chau, K. T., Wong, R. H. C., Liu, J., & Lee, C. F. (2003). Rockfall hazard analysis for Hong Kong based on rockfall inventory. Rock Mech. Rock Eng., 36(5), 383-408.
Dhakal, A. S., Amada, T., & Aniya, M. (2000). Landslide hazard mapping and its evaluation using GIS: an investigation of sampling schemes for a grid-cell based quantitative method. Photogramm. Eng. Remote Sens., 66(8), 981-989.
Di Martire, D., Tessitore, S., Brancato, D., Grazia Ciminelli, M., Costabile, S., Costantini, M., Graziano, G. V., Minati, F., Ramondini, M., & Calcaterra, D. (2016). Landslide detection integrated system (LaDIS) based on in-situ and satellite SAR interferometry measurements. Catena, 137, 406-421.
Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Trans. Geosci. Remote Sens., 39(1), 8-20.
Frattini, P., Crosta, G., Carrara, A., & Agliardi, F. (2008). Assessment of rockfall susceptibility by integrating statistical and physically-based approaches. Geomorphology, 94(3-4), 419-437.
Ghateh, S., Malekzadeh, T., & Pourghasemi, E. (2024). Landslide risk zoning using satellite images (case study: Balharud watershed, Garmi city). Geography and Human Relationships, 6(3), 145-164. doi: 10.22034/gahr.2023.394638.1860.
Hooper, A., Zebker, H., Segall, P., & Kampes, B. (2004). A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophys. Res. Lett., 31(23).
Jafari, G. H., & Khodaei, R. (2024). Zoning land surfaces of Shahroud Basin against the occurrence of landslides using the Shannon model. Geogr. Environ. Hazards, 12(4).
Jamalabadi, J., Safari, F., Borabadi, A., & Al-Mohammad, M. (2021). Identification and zoning of susceptible area of landslide in the Javroud rural district. Emergency Management, 10(2), 47-55.
Mahmoudi, F. (2008). Dynamic geomorphology. Print two. Payam Noor Publications.
 
Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., & Rabaute, T. (1993). The displacement field of the Landers earthquake mapped by radar interferometry. Nature, 364(6433).
Mosaffaie, J., Ownegh, M., Mesdaghi, M., & Shariat, J. M. (2009). Comparing the efficiency of statistical and empirical landslide hazard zonation models in Alamout watershed.
 
Najafi Eigdir, A., Roostaei, S., Hejazi, A., Rajabi, M., & Jalali, N. (2021). Landslide hazard zonation using the bivariate statistical models in Nazlo-Chay basin. Hydrogeomorphology, 8(27), 17-1. doi: 10.22034/hyd.2021.25375.1376.
Roostaei, S., Ahmadzadeh, H. (2018). Landslide hazard zonation in the Tabriz-Marand road using RS and GIS. Quantitative Geomorphological Research, 1(1), 47-58.
Roostaei, S., Mokhtari, D., & Ashrafi Fini, Z. (2019). Identification and monitoring of domain instability by differential intermetal processing in the Taleghan watershed. Quantitative Geomorphological Research, 7(3), 18-30.
Roostaei, S., Roustaei, M., Sharifikia, M., & Yarahmadi, J. (2013). Application of differential synthetic aperture radar interferometry (D-InSAR) for detection and monitoring of landslides, Case study: Garm Chay Watershed. Watershed Engineering and Management, 5(3), 190-198. doi: 10.22092/ijwmse.2013.101841.
Shirzadi, A., Solaimani, K., Habibnejad Roshan, M., Kavian, A., & Ghasemian, B. (2016). Comparison of logistic regression, frequency ratio and AHP in rock fall susceptibility mapping (Case study: Kurdistan Province, Salavat Abad Saddle). J. Watershed Manage. Res., 6(12), 193-204.