2021-09-29, 11:00–11:30, Academic
Geological disasters like landslides have been causing huge losses for people and property in many countries, especially the ones located in mountainous areas. These disasters are very hot issue that is being paid special attention by managers and researchers from many countries around the world.
Vietnam is one of the countries in the region that is frequently affected by landslides due to tropical monsoon climate and three-fourths of Vietnam's land area is mountainous. In the context of global climate change which is happening quite acute, landslides are becoming more dangerous, more severe. According to recent researches almost every year in Vietnam during the rainy season landslides are occurring, causing great damage to people and properties.
Scientists around the world have studied the problem of landslide and published many valuable papers on this field. In more recent, many works have focused on remote sensing data and techniques to identify landslide regions, tectonic destruction zones, etc. Remote sensing technology has now become a useful tool in identifying landslides because it provides an integrated view that can be repeated over time. Nowadays, those methodologies are becoming more accessible through many freely distributed datasets and free and open-source software packages.
In particular for landslide studies, the SAR satellite interferometric measurement is a method of evaluating changes on the Earth's surface that has been in use for over 20 years and can achieve very good outputs. Differential SAR Interferometry (DInSAR) is a method where are used two or more images at two different times for the same location before and after a topographic change occurs, for example, to detect land deformations. However, this method has many limitations that do not eliminate some of the effects: such as the influence of the atmosphere and some scattering characteristics of objects on the surface. The PSInSAR method, is based on the use of a series of multi-temporal SAR images of the same location to extract a number of permanent scattering points which are used for detecting terrain deformation.
V.A Tran (1,*)
X. Q. Truong (2)
D. A. Nguyen (3)
L. Longoni (4)
V. Yordanov (4,5)
(1) Dept. of Geomatics and Land Adminnistration, HUMG, HaNoi University of Mining and Geology, 18 Vien Street, Bac Tu Liem, Hanoi, Vietnam - email@example.com
(2) Information Technology Faculty, HUNRE, HaNoi University of Natural Resources and Environment, Phu Dien Bac Tu Liem, Ha Noi, Vietnam - firstname.lastname@example.org
(3) Institute of Geological Sciences, Vietnam Academy of Science and Technology, No. 84 Chua Lang Street, Dong Da, Hanoi, Vietnam
(4) Department of Civil and Environmental Engineering (DICA) Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy- (laura.longoni,vasil.yordanov)@polimi.it
(5) Vasil Levski National Military University, Veliko Tarnovo, Bulgaria
(*) Corresponding author
2 - Basic. General basic knowledge is required.Language of the Presentation –