Archives
 
Year 2020
 
Vol 61, Issue 4, [08 - 2020]

Landslides detection in Bat Xat district, Lao Cai province, Vietnam using the Alos PalSAR time-series imagery by the SBAS method

DOI:10.46326/JMES.2020.61(4).01

  • Affiliations:

    1 Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Vietnam
    2 Hochiminh City Institute of Resources Geography, Vietnam
    3 Faculty of Surveying, Catography and GIS, Ho Chi Minh University of Natural Resources and Environment, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 25th-June-2020
  • Revised: 3rd-July-2020
  • Accepted: 31st-Aug-2020
  • Online: 31st-Aug-2020
Pages: 1 - 10
Views: 3577
View onlineView online
Downloads: 1506
Downdload PDF
★★★★★Rating: 1.0, Total rating: 149
  • ★
  • ★
  • ★
  • ★
  • ★
Yours rating

Abstract:

Radar Interferometry (InSAR) has been known as a technology to monitor the change of elements on the earth's surface for many years. There are many InSAR methods, in which the permanent scattering InSAR Radar (PSInSAR) method uses a series of images to determine the terrain deformetions quite well. However, for areas with lots of vegetation, the number of permanent scattering points (PS points) will be limited. In this paper, we have chosen a method that also uses a set of multi-temporal Radar images but has the lowest spatial and temporal image baselines, this method is called the Small Baselines method (SBAS). With the ALOS PalSAR images series that was collected from August 2007 to November 2010, many landslide points in the area of Bat Xat district, Lao Cai province were discovered. The landslide locations detected from Radar images were compared with the landslide surveying points and landslide interpreted by aerial photos in 2013 provided by Vietnam Institute of Geosciences and Mineral Resources Vietnam. There have been many sliding sites coinsiding with the surveyed landslides, which proves that many landslides exist and develop continuously such as the location of Mong Sen bridge, Trung Chai Commune or at Sai Duan bridge, Phin Ngan commune.

How to Cite
Tran, A.Van, , ., Nguyen, B.An, Dinh, T., Nguyen, Y.Hai Thi and Le, N.Thanh 2020. Landslides detection in Bat Xat district, Lao Cai province, Vietnam using the Alos PalSAR time-series imagery by the SBAS method (in Vietnamese). Journal of Mining and Earth Sciences. 61, 4 (Aug, 2020), 1-10. DOI:https://doi.org/10.46326/JMES.2020.61(4).01.
References

Berardino, P., Fornaro, G., Lanari, R., Sansosti, E., (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing 40 (11), 2375-2383.

Đỗ Minh Ngọc, Đặng Thị Thùy, Đỗ Minh Đức, (2016). Ứng dụng GIS và phương pháp phân tích thứ bậc (AHP) thành lập bản đồ nguy cơ trượt lở huyện Xín Mần, tỉnh Hà Giang, Việt Nam. VNU Journal of Science: Earth and Environmental Sciences 32 (2S), 206-216.

Ferretti A., Prati C., Rocca F., (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing 39 (1), 8-20.

Gabriel, A., K., Goldstein, R. M., Zebker, H. A., (1989). Mapping small elevation changes over large areas: Differential Radar interferometry. Journal of Geophysical Research: Solid Earth 94 (B7), 9183-9191

Ghiglia, D. C., Pritt, M. D., (1998). Two-dimensional phase unwrapping: theory, algorithms, and software 4. Wiley New York. 

Hanssen R, Feijt A., (1997). A first quantitative evaluation of atmospheric effects on SAR interferometry. In: ERS SAR Interferometry, 277.

Hoàng Trung Thông, (2016). Đánh giá nguy cơ lũ quét tại huyện SaPa, tỉnh Lào Cai. Luận văn thạc sỹ. Đại học Quốc gia Hà Nội. Việt Nam.

Hooper, A., Spaans, K., Bekaert, D., Cuenca, M. C., Arıkan, M., Oyen, A., (2010). StaMPS/MTI manual. Delft Institute of Earth Observation and Space Systems Delft University of Technology. Kluyverweg 1, 2629.

Lê Quốc Hùng, Nguyễn Thị Hải Vân, Phạm Văn Sơn, Nguyễn Hoàng Ninh, Nguyễn Tâm, Nguyễn Thị Huyền, (2017). Landslide inventory mapping in the fourteen Northern provinces of Vietnam: achievements and difficulties. In: Workshop on World Landslide Forum. Springer, 501-510.

Lee S., Choi J., Min K., (2002). Landslide susceptibility analysis and verification using the Bayesian probability model. Environmental Geology 43 (1-2), 120-131.

Lee, S., Dan, N. T., (2005). Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides. Environmental Geology 48 (6), 778-787.

Lee, S., Min, K., (2001). Statistical analysis of landslide susceptibility at Yongin, Korea. Environmental Geology 40 (9), 1095-1113.

Nguyễn Bá Duẩn, Đặng Thanh Hải, Vũ Đức Minh, Lê Thị Thúy Hiên, (2011). Nghiên cứu xác định nguyên nhân trượt lở khu vực cầu móng sến, tỉnh Lào Cai. Vietnam Journal of Earth Sciences 33 (2), 164-174.

Trần Anh Tuấn, Nguyễn Tứ Dần, (2012). Nghiên cứu nhạy cảm và phân vùng nguy cơ trượt lở đất khu vực hồ thủy điện Sơn La theo phương pháp phân tích cấp bậc Saaty. Tạp chí các khoa học về Trái đất 34(3), 223-232.

Trần Thanh Hà, (2013). Quan hệ giữa đặc điểm địa mạo và trượt lở đất tại tỉnh Lào Cai. VNU Journal of Science: Earth and Environmental Sciences 29 (3), 35-44.

Tran Van Anh, Tran Quoc Cuong, Nguyen Duc Anh, Ho Tong Minh Dinh, Tran Trung Anh, Nguyen Như Hung, Luong Thi Thuy Linh, (2016). Application of PSInSAR method for determining of land subsidence in Hanoi city by Cosmo-Skymed imagery. GIS-IDEAS 2016. Hanoi, Vietnam.

Tran Van Anh, Masumoto, S., Raghavan, V., Shiono K., (2007). Spatial distribution of subsidence in Hanoi detected by JERS-1 SAR interferometry. Japan Society of Geoinformatics 18 (1), 3-13.

Tran Van Anh, Tran Quoc Cuong, Nguyen Duc Anh, Dang Vu Khac, (2015). Study of Subsidence detection by DinSAR and evaluation of some factors to the outcome. Vietnam Journal of Earth Sciences 37 (4), 344-354.

Zebker, H. A., Rosen, P. A., Hensley, S., (1997). Atmospheric effects in interferometric synthetic aperture Radar surface deformation and topographic maps. Journal of Geophysical Research: Solid Earth 102 (B4), 7547-7563.

Other articles