Flood Damage Map and Economic Loss Assessment by Google Earth Engine in Case of Rice in 2021 of Ayutthaya Province, Thailand

Authors

  • Souliya Keola Water Resources Engineering, Faculty of Engineering, Chulalongkorn University
  • Pongsak Suttinon

Keywords:

flood damage, economic loss assessment, Ayutthaya's flood 2021, rice damaged

Abstract

The central region of Thailand is the most economical flow. Nevertheless, Ayutthaya Province has suffered from flood events annually. Near real-time flood mapping has potential for flood damage reduction measurement. This flood map is generated, using Google Earth Engine (GEE) Cloud-based by gathering the global surface imageries from Sentinel-1 synthetic aperture radar (SAR) by analyzing the pre- and post-flooded images, with land use dataset from MODIS and digital elevation model (DEM) from WWF's HydroSHEDS to determine the affected areas and to evaluate direct-damage of rice in term of economic loss. This research concentrates on the damage matters to rice only. In 2021, a storm named Dian-Mu was the worst that impacted the central region of Thailand. As a result, Ayutthaya flooded over 475,512.36 RAI, and we estimated rice would be lost 1.877 billion THB.

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Published

2023-07-09

How to Cite

Keola, S., & Suttinon, P. (2023). Flood Damage Map and Economic Loss Assessment by Google Earth Engine in Case of Rice in 2021 of Ayutthaya Province, Thailand. The 28th National Convention on Civil Engineering, 28, WRE23–1. Retrieved from https://conference.thaince.org/index.php/ncce28/article/view/2049

Issue

Vol. 28 (2023): Proceeding of The 28th National Convention on Civil Engineering: Post-Pandemic Challenges on Civil Engineering

Section

Water Resource Engineering: WRE