INTEGRATING SENTINEL-1 SYNTHETIC APERTURE RADAR AND CHIRPS DATA FOR UNDERSTANDING HEAVY PRECIPITATION AND FLOODING IN AN GIANG PROVINCE, VIET NAM

Ton Binh Minh, Shou Hao Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Understanding the mechanisms of heavy precipitation and flooding is essential for effective climate change adaptation and response. The cloud-penetrating ability of microwaves makes Synthetic Aperture Radar (SAR) an ideal tool for providing weather-independent images for flood mapping. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a land-only rainfall dataset that incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for various analysis applications. This study employs intensity images from Sentinel-1 satellites to generate flood maps and utilizes CHIRPS to derive heavy rainfall frequency. The segmentation technique is applied to distinguish between pre-existing standing water, recently flooded areas, and non-flooded regions within the study area. By combining SAR and CHIRPS data, this research yields valuable insights into the relationship between heavy rainfall and flood occurrences in An Giang province, Viet Nam. The escalating frequency of heavy precipitation correlates with an augmentation in local rainfall amounts, and a positive correlation emerges between heavy rainfall and the extension of flood-prone areas. While recognizing that flooding influences water flow from the upstream of the Mekong River, flooding discharges from neighboring areas, and tidal levels, the accelerated trend of urbanization has also played a significant role. The expansion of impervious surfaces contributes to the severity of deep floods and elevates flood potential in the region. Furthermore, this research affirms the effectiveness of SAR intensity image mapping for flood detection, and the integration of SAR and CHIRPS data furthers our understanding of heavy precipitation mechanisms. As the implications of climate change persist, the findings are crucial for developing sustainable flood management strategies, as well as enhancing resilience to climate-induced challenges in the Mekong River Delta region.

Original languageEnglish
Title of host publication44th Asian Conference on Remote Sensing, ACRS 2023
PublisherAsian Association on Remote Sensing
ISBN (Electronic)9781713893646
StatePublished - 2023
Event44th Asian Conference on Remote Sensing, ACRS 2023 - Taipei, Taiwan
Duration: 30 Oct 20233 Nov 2023

Publication series

Name44th Asian Conference on Remote Sensing, ACRS 2023

Conference

Conference44th Asian Conference on Remote Sensing, ACRS 2023
Country/TerritoryTaiwan
CityTaipei
Period30/10/233/11/23

Keywords

  • CHIRPS
  • climate change
  • Flood
  • Mekong River Delta
  • Sentinel-1

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