Keywords
Google earth engine
Sentinel 2
Viễn thám Landslide
Google Earth Engine
Sentinel 2
Remote sensing
Working Languages
How to Cite
Abstract
Landslides are gradually becoming one of the most dangerous types of natural disasters, not only directly threatening human life but also directly affecting the environment and socio-economy. There needs to be an effective solution to minimise the damage caused by natural disasters. In this article, the authors have proposed a technological process and built a system based on WebGIS technology using Google Earth Engine to collect and analyse data on multi-temporal Sentinel 2 remote sensing images to identify landslide locations and provide assessments to support damage estimates caused by landslides. The system is built on open-source technologies such as NodeJS, a database stored in the PostgreSQL database management system; Image analyses are performed on the Google Earth engine library. The system allows users to select the area and time to analyse and quickly produce results of landslide areas with reports, saving more time than traditional processing steps