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From Space to Safety: Flood Mapping with Sentinel-1 SAR Data for Enhancing Flood Risk Management in Ljungby Municipality

Sürer, Serdar LU (2024) VBRM15 20241
Division of Risk Management and Societal Safety
Abstract
This thesis examines the integration of Synthetic Aperture Radar (SAR) data from Sentinel-1 with hydraulic modelling and Geographic Information Systems (GIS) to enhance flood risk management in Ljungby Municipality, Sweden. The study focuses on the February 2020 flood event, utilizing advanced remote sensing technologies to improve flood extent mapping and disaster response. Quantitative data for this research were derived from SAR data, high-resolution images from Sentinel-2, and daily coverage from PlanetScope satellites. These data sources were complemented by GIS layers depicting local geography and infrastructure, alongside meteorological data from local weather stations. Qualitative insights were gained through field visits,... (More)
This thesis examines the integration of Synthetic Aperture Radar (SAR) data from Sentinel-1 with hydraulic modelling and Geographic Information Systems (GIS) to enhance flood risk management in Ljungby Municipality, Sweden. The study focuses on the February 2020 flood event, utilizing advanced remote sensing technologies to improve flood extent mapping and disaster response. Quantitative data for this research were derived from SAR data, high-resolution images from Sentinel-2, and daily coverage from PlanetScope satellites. These data sources were complemented by GIS layers depicting local geography and infrastructure, alongside meteorological data from local weather stations. Qualitative insights were gained through field visits, stakeholder questionnaires, and policy document reviews. The integration of SAR data with hydraulic models and GIS proved crucial in capturing real-time flood extents, overcoming common observational challenges such as cloud cover. This approach significantly improved the accuracy of flood risk assessments and supported the development of effective flood response strategies. Findings suggest that SAR data enhances the predictive accuracy and operational effectiveness of flood risk management, facilitating better preparedness and informed decision-making. The study concludes that leveraging SAR data in conjunction with traditional flood management practices offers a more dynamic and precise tool for understanding flood dynamics and managing urban flood risks. It recommends wider adoption of these technologies in municipal planning to improve disaster preparedness and community resilience. (Less)
Popular Abstract
Floods are among the most devastating natural disasters, and managing their risks is crucial to protect communities. This study focuses on improving flood risk management in Ljungby Municipality, Sweden, by integrating advanced technologies. Using Synthetic Aperture Radar (SAR) data from Sentinel-1, high-resolution images from Sentinel-2, and daily satellite coverage from PlanetScope, the research mapped the February 2020 flood accurately, even in cloudy conditions.

The integration of SAR data with hydraulic modelling and Geographic Information Systems (GIS) provided a clear picture of the flood extent. This approach significantly improved the accuracy of flood risk assessments and supported effective flood response strategies. The... (More)
Floods are among the most devastating natural disasters, and managing their risks is crucial to protect communities. This study focuses on improving flood risk management in Ljungby Municipality, Sweden, by integrating advanced technologies. Using Synthetic Aperture Radar (SAR) data from Sentinel-1, high-resolution images from Sentinel-2, and daily satellite coverage from PlanetScope, the research mapped the February 2020 flood accurately, even in cloudy conditions.

The integration of SAR data with hydraulic modelling and Geographic Information Systems (GIS) provided a clear picture of the flood extent. This approach significantly improved the accuracy of flood risk assessments and supported effective flood response strategies. The study concludes that leveraging SAR data alongside traditional methods offers a dynamic and precise tool for understanding and managing urban flood risks. It recommends wider adoption of these technologies to enhance disaster preparedness and community resilience. (Less)
Please use this url to cite or link to this publication:
author
Sürer, Serdar LU
supervisor
organization
course
VBRM15 20241
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Flood, Remote Sensing, GIS, Sentinel, SAR, Multispectral, Ljungby, Hydraulic Modelling, Cloudburst, Climate Change, SNAP, MIKE, ArcGIS, QGIS
language
English
id
9158441
date added to LUP
2024-06-10 08:00:24
date last changed
2024-06-10 08:00:24
@misc{9158441,
  abstract     = {{This thesis examines the integration of Synthetic Aperture Radar (SAR) data from Sentinel-1 with hydraulic modelling and Geographic Information Systems (GIS) to enhance flood risk management in Ljungby Municipality, Sweden. The study focuses on the February 2020 flood event, utilizing advanced remote sensing technologies to improve flood extent mapping and disaster response. Quantitative data for this research were derived from SAR data, high-resolution images from Sentinel-2, and daily coverage from PlanetScope satellites. These data sources were complemented by GIS layers depicting local geography and infrastructure, alongside meteorological data from local weather stations. Qualitative insights were gained through field visits, stakeholder questionnaires, and policy document reviews. The integration of SAR data with hydraulic models and GIS proved crucial in capturing real-time flood extents, overcoming common observational challenges such as cloud cover. This approach significantly improved the accuracy of flood risk assessments and supported the development of effective flood response strategies. Findings suggest that SAR data enhances the predictive accuracy and operational effectiveness of flood risk management, facilitating better preparedness and informed decision-making. The study concludes that leveraging SAR data in conjunction with traditional flood management practices offers a more dynamic and precise tool for understanding flood dynamics and managing urban flood risks. It recommends wider adoption of these technologies in municipal planning to improve disaster preparedness and community resilience.}},
  author       = {{Sürer, Serdar}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{From Space to Safety: Flood Mapping with Sentinel-1 SAR Data for Enhancing Flood Risk Management in Ljungby Municipality}},
  year         = {{2024}},
}