APPLICATION OF GOOGLE EARTH ENGINE PLATFORM TO IDENTIFY FLOODED AREAS AND ASSESS FLOOD DEPTH IN QUANG TRI PROVINCE

Authors

  • Giang Hoang Hiep
  • Nguyen Thanh Bang
  • Tran Dang Hung

DOI:

https://doi.org/10.55659/2525-2496/27.85964

Keywords:

Google Earth Engine, inundation, Central Viet Nam, Remote sensing, Sentinel-1, automatic.

Abstract

In recent years, the Application of the Google Earth Engine Platform has gained substantial recognition as a powerful tool for remote sensing and geospatial analysis. This paper delves into its utility within the context of flood monitoring and assessment, focusing on Quang Tri Province for the historic flood in 2020. The study leverages the platform's capabilities to identify and delineate flooded areas, offering a timely and accurate overview of the extent of inundation during flood events. Moreover, the paper demonstrates how the Google Earth Engine Platform enables the assessment of flood depths, providing critical insights for disaster management and response planning. By amalgamating satellite imagery, terrain data, and hydrological information, the study showcases the platform's potential to enhance flood-related decision-making in vulnerable regions like Quang Tri Province. The findings underscore the significance of innovative geospatial technologies in addressing the challenges posed by flooding, ultimately contributing to more effective disaster mitigation strategies and informed policymaking.

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Published

2023-09-30